eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-01-21 29 .i iii 5708 article Table of Contents for Volume 29 of Informing Science: The International Journal of an Emerging Transdiscipline, 2026 http://www.informingscience.org/Publications/5708 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-01-25 29 5705 article Francesco Tommasi francesco.tommasi@unimi.it In this editorial paper, I pose some questions about the role of informing science. I do so by considering the current global situation of polycrisis: war conflicts, genocides, humanitarian crisis, the climate change and the exacerbation of social inequalities occurring in a polarized violent public opinion perpetuating racist and discriminatory ideology. What is the purpose of academic writing in a world in which there are lives that do not matter? I take into account the spirit of informing science and the idea of transdisciplinary research to launch questions for prospective papers. The idea principle of solidarity is presented as a means for research-conducting, theory-building and informing science. http://www.informingscience.org/Publications/5705 informing science polycrisis solidarity transdisciplinary research eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-01-25 29 5695 article Davide Giusino davide.giusino@unifg.it Aim/Purpose This paper investigates the marginal presence of psychodynamic perspectives in contemporary Western Work and Organizational Psychology (W-WOP), addressing concerns that such approaches remain overlooked despite their relevance to understanding the emotional and unconscious dimensions of work. Background Drawing on a Critical Work and Organizational Psychology (CWOP) perspective, the study examines how epistemic norms and disciplinary assumptions shape the visibility of psychodynamics within mainstream scientific venues. Methodology A documentary analysis of the most recently available conference programs from EAWOP and SIOP was conducted. Titles, countries of origin, psychodynamic topics, and contribution types were extracted and analyzed descriptively using frequency counts. Contribution The paper empirically maps the representation of psychodynamic scholarship in two major W-WOP conferences and offers a critical interpretation of its marginalization through the lens of epistemic hegemony. As a key theoretical insight, it suggests that the marginalization of psychodynamic approaches reflects broader patterns of epistemic hegemony, whereby certain paradigms are privileged while others are systematically excluded, shaping what counts as legitimate knowledge. Findings Out of 2,620 reviewed contributions, only nine (0.34%) explicitly referenced psychodynamic approaches. These appeared mostly as low-visibility posters, covered fragmented topics, and originated from a small set of countries. No psychodynamic content was integrated into high-profile programme formats. Recommendations for Practitioners Practitioners are encouraged to incorporate psychodynamic concepts when addressing organizational issues related to emotion, conflict, identity, and other processes that may relate to unconscious phenomena. Recommendations for Researchers Researchers are urged to engage with psychodynamic frameworks to expand epistemic diversity and to critically reflect on dominant assumptions shaping what counts as legitimate knowledge in W-WOP. Impact on Society Broadening W-WOP’s epistemological horizons may enhance the discipline’s capacity to address complex forms of suffering, inequality, and emotional strain in contemporary workplaces. Future Research Further studies should examine publication patterns, editorial practices, and doctoral training to better understand the institutional mechanisms driving epistemic marginalization. http://www.informingscience.org/Publications/5695 psychoanalysis epistemic injustice critical psychology conference analysis eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-02-09 29 5706 article Aykut Arslan aykutovski@yahoo.com Serdar Yener syener@sinop.edu.tr Abdülkadir Akturan aakturan@pirireis.edu.tr Aim/Purpose To diagnose the internal state of municipal digital transformation by identifying and characterizing the perception gaps between employees’ current and targeted states of back-office e-government systems (process efficiency, data integration, technological competence, digital stress). Background Despite large investments in municipal ICT and national digital strategies, back-office integration remains understudied; employee experiences may reveal implementation shortfalls that system metrics alone miss. This paper mobilizes a socio-technical and public-value perspective to address that gap. Methodology Online survey of municipal employees (final analysis, N = 386) using 30 paired Likert items (current vs. targeted). Quantitative analyses included paired-samples t-tests, effect sizes (Cohen’s d), exploratory factor analysis (EFA), K-means clustering, MANOVA/MANCOVA, and linear discriminant analysis (LDA). Missing data and standard diagnostics were reported and handled as described in the manuscript. Contribution Provides a diagnostic assessment of employee perceptions, offering an informative foundation for understanding the discrepancies between digital policy goals and operational realities. Findings Large perception gaps exist in all four dimensions: process efficiency, data integration (the largest gap), technological competence, and digital stress (current stress > target). Gaps vary by municipality type (districts have larger gaps than metros) and department (IT has smaller gaps). EFA supported three latent constructs; clustering yielded four user profiles (optimistic adapters, process challengers, technology strugglers, comprehensive gap experiencers). Recommendations for Practitioners Prioritize cross-departmental data integration, adopt a process-first IS redesign, expand distributed competence-building beyond IT units, and implement design/support measures to monitor and reduce digital stress, with a special focus on district municipalities. Recommendations for Researchers Use longitudinal and mixed methods designs to triangulate subjective perceptions with objective usage logs and performance metrics; evaluate targeted interventions experimentally; and conduct cross-national comparisons to assess contextual generalizability. Impact on Society Closing identified gaps can increase operational efficiency, equity of access, and public value of municipal services; failure to act risks deepening service inequalities and producing persistent administrative burdens and employee burnout. Future Research Longitudinal studies tracking perception change after targeted interventions; integration of system logs and outcome indicators; causal evaluation of training/process-redesign programs; and comparative studies across governance contexts. http://www.informingscience.org/Publications/5706 back-office e-government digital transformation perception gap analysis data integration socio-technical systems eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-03-18 29 5734 article Alma S Espartinez alma.espartinez@benilde.edu.ph Aim/Purpose To examine how Generative AI (GenAI) creates systemic informing failures in resource-constrained higher education institutions, producing cycles of inequity that fragmented interventions cannot resolve. Background This study introduces a Systemic Framework for Equitable GenAI Assessment that addresses breakdowns in information sharing across students, faculty, and administrators through three interlocking principles: infrastructure-based equity, transparent collaboration, and institutional scaffolding. Methodology A systematic literature synthesis of 47 sources, informed by critical pedagogy, digital equity theory, and institutional theory, with Philippine higher education as an illustrative case of informing system failure. Contribution The framework provides a novel informing systems model that explains how GenAI’s equity challenges are causally interdependent and offers a phased implementation roadmap for improving institutional informing in resource-constrained contexts. Findings Infrastructural exclusion, pedagogical misalignment, and ethical displacement form a self-reinforcing informing failure system. Isolated interventions fail due to three causal mechanisms: Pedagogical Coherence Constraint, Institutional Legitimacy Spiral, and Resource Allocation Trap. Recommendations for Practitioners Institutions should adopt phased, integrated implementation beginning with institutional scaffolding, then small-scale pilots that coordinate informing across stakeholder groups. Recommendations for Researchers Priority areas include longitudinal implementation studies, comparative validation across Global South regions, and research into how the framework applies to indigenous knowledge systems and non-Western epistemologies. Impact on Society The framework prevents GenAI from reinforcing digital coloniality by transforming institutional informing systems to support educational justice and equitable access. Future Research Empirical validation through participatory action research, disciplinary variation studies, and indigenous-led inquiry into GenAI’s compatibility with oral and relational knowledge transmission. http://www.informingscience.org/Publications/5734 informing systems generative AI educational equity digital divide institutional scaffolding resource-constrained contexts eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-04-03 29 5748 article Francesco Curro' francesco.curro2@unisi.it Sofia Morandini sofia.morandini3@unibo.it Davide Granchi d.granchi@student.unisi.it Paola Palmitesta palmitesta@unisi.it Luca Pietrantoni luca.pietrantoni@unibo.it Oronzo Parlangeli oronzo.parlangeli@unisi.it Aim/Purpose This paper examines how robot anthropomorphism, gender, and individual characteristics shape perceptions, attitudes, and intentions toward robot bartenders. Background The paper examines human–robot interaction in a bar setting by exploring factors that promote positive perceptions and interactions between consumers and robot bartenders. Methodology The study was conducted through an in loco survey administered during recreational events. A between-subjects design was employed. Participants (N = 192) completed an online questionnaire by scanning a QR code and evaluating a randomly assigned robot image. The robot stimuli varied in levels of anthropomorphism and gender, resulting in four different robot conditions. Two questionnaires were used: the need for affiliation, measured using the Interpersonal Orientation Scale (Hill, 1987), and participants’ perceptions of the robot, assessed with items adapted from T. Kim et al. (2023). Contribution The paper contributes to the Human-Robot Interaction literature by highlighting how individual differences and social context shape perceptions and acceptance of service robots in the hospitality sector. Findings The findings indicate that male participants reported greater optimism and a stronger intention to use robot bartenders compared to female participants. Anthropomorphic robots were perceived as more human-like; however, they also elicited higher levels of consumer resistance. Additionally, participants attending the event alone perceived the robots as more human-like than those in group settings. Finally, a positive correlation emerged between Need for Affiliation and resistance to interacting with robot bartenders, suggesting that individuals with stronger interpersonal orientation may be more reluctant to engage with robotic service providers. Recommendations for Practitioners Hospitality providers, robot designers, and service managers should consider both robot design features and customers’ psychological and social characteristics to enhance acceptance of robot bartenders. While aligning robot gender with societal service-role stereotypes may increase user comfort, this approach risks reinforcing biased expectations and raising ethical concerns. Therefore, moderately anthropomorphic or gender-neutral robots that emphasize functionality and relational appropriateness may be more suitable for bar settings. Practitioners are also encouraged to adopt flexible, hybrid human–robot service models that adapt to different social contexts and customer preferences, while ensuring ethical, inclusive, and user-centred design choices. Recommendations for Researchers Researchers are encouraged to include individual and contextual variables in studies on service robot acceptance and to adopt theoretical models that integrate human psychological factors with robot-related features. Impact on Society The study highlights the importance of designing human–robot interactions that account for individual, psychological, and social differences to foster comfortable, socially acceptable customer experiences. By promoting more inclusive and user-centred robot design, the findings support the responsible integration of service robots into public and recreational environments. Future Research Future research should examine how consumers’ emotional states, familiarity, and prior experience shape acceptance, trust, and interactions with service robots. Further studies are needed on psychological evaluation processes, robot gender attribution, and the balance between human-like and machine-like features. Longitudinal and multi-user interaction studies would also help clarify group dynamics and sustained engagement in hospitality settings. http://www.informingscience.org/Publications/5748 service robot social robot robot bartender human-robot interaction (HRI) anthropomorphism gender stereotypes eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-04-08 29 5738 article Ambra Natati ambra.natati@univr.it Giada Mignolli giada.mignolli@univr.it Miriam Urbani miriamurbani90@gmail.com Aim/Purpose The relationship between music and language is well established in developmental psychology and educational research. Nevertheless, important questions remain, particularly concerning children aged 0-6 years, the educational setting, and the extent to which music training supports the early development of linguistic abilities. Background This systematic review addressed these issues by examining studies on typically developing children within the 0-6 age range in educational services. Methodology The methodology comprised a search strategy across five databases, a screening process, data extraction, quality appraisal, assessment of risk of bias, and narrative synthesis of the results. The eligibility criteria for the review included studies involving typically developing 0-6-year-olds that implemented music training conducted in nursery and kindergarten settings, did not include comparisons with older age groups, and reported outcomes related to language. Only evidence-based studies published in English were selected. Contribution This systematic review contributes to the body of knowledge on music-based interventions for the development of linguistic skills in educational services. Findings Thirteen studies were included in the final review, involving participant samples ranging from 25 to 201 individuals. The selected studies included journal articles and master’s and doctoral theses from various countries. Most of the studies reported that music training positively influenced the development of language in preschoolers in educational services. Recommendations for Practitioners Given the results, educational professionals should consider this systematic review when designing music-based interventions to enhance the growth and well-being of children and their communities within an integrated 0-6-year perspective. Recommendations for Researchers However, some limitations emerged. Researchers need to implement music-based interventions for the 0-3 age group and focus on specific language aspects, such as their use. Impact on Society Despite the limitations, this systematic review has an impact on the growth and well-being of children and communities, informing the design of educational programs. Future Research Finally, this systematic review focused on a typical 0-6 age population. Future research should focus on children with atypical developmental trajectories to provide a clearer overview of existing evidence on music-based interventions in educational services. http://www.informingscience.org/Publications/5738 systematic review music-based interventions language development toddlers and preschoolers quality education educational services eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2026-04-30 29 5757 article Giulia Paganin giulia.paganin2@unibo.it Teresa Galanti teresa.galanti@unich.it Stefania Fantinelli stefania.fantinelli@uniecampus.it Federico Fraboni federico.fraboni3@unibo.it Francesco Tommasi francesco.tommasi@unimi.it Monica Molino monica.molino@unito.it Gabriele Puzzo gabrielepuzzo01@gmail.com Aim/Purpose This paper addresses the need to understand how digital transformation, often framed as a technological process, is concretely translated into human resource management (HRM) practices. It examines how HR managers interpret and manage the organizational, cultural, and skill-related changes associated with digital transformation, situating these practices within the emerging Industry 5.0 landscape. Background While digital transformation is widely discussed in terms of technologies and future skills, less attention has been paid to how these changes are operationalized within everyday HR practices. This study addresses this gap by exploring how HR professionals experience and implement digital transformation in recruitment, talent management, and training. Methodology An exploratory qualitative design was adopted. Data were collected through 14 semi-structured interviews with HR managers, consultants, founders, and innovation managers from organizations of varying sizes across Northern and Central Italy. Interviews were transcribed verbatim and analyzed using thematic analysis informed by Corbin and Strauss (2008), with coding and constant comparison conducted iteratively. Contribution The paper contributes empirical evidence on how human-centered models of digital transformation are enacted in HR practices. It advances understanding of HRM as a strategic mediator between technological innovation and the human experience of work, particularly within the Industry 5.0 perspective. Findings The findings indicate that recruitment practices are progressively moving beyond a narrow focus on technical expertise, placing greater emphasis on candidates’ adaptability, learning agility, and digital mindset. At the same time, talent management is evolving toward more dynamic and flexible models that prioritize continuous learning, cross-functional collaboration, and inclusive development pathways that support fluid career trajectories. Training is increasingly understood as a strategic lever for fostering human–technology complementarity, requiring multidimensional, experiential, and personalized learning approaches that address both technical and transversal competencies. Overall, across all domains, digital transformation is not merely a technological upgrade but a broader cultural and organizational shift that reshapes roles, expectations, and ways of working. Recommendations for Practitioners Organizations should redesign recruitment processes to assess adaptability and learning orientation, develop talent management systems that support cross-functional mobility and continuous learning, and invest in experiential and personalized training that addresses both technical and soft skills. Leaders should foster psychological safety and support employees’ adaptation to technological change. Recommendations for Researchers Researchers should further investigate digital transformation through multi-level and multi-actor perspectives, integrating managerial and employee experiences. There is also a need for longitudinal and comparative studies to examine how HR practices evolve alongside specific technologies. Impact on Society By emphasizing human-centered HR strategies, the findings highlight pathways to implementing digital transformation that support employee development, engagement, and sustainable organizational change, contributing to more inclusive and resilient workplaces. Future Research Future research should triangulate managerial perspectives with employee-level data, examine sectoral differences, and assess the impact of specific technologies, such as AI-enabled tools and predictive analytics, on HR practices and employee experiences. http://www.informingscience.org/Publications/5757 digital transformation human resource management Industry 5.0 talent management training human-centered organization eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-04 28 .i v 5467 article Table of Contents for Volume 28 of Informing Science: The International Journal of an Emerging Transdiscipline, 2025 http://www.informingscience.org/Publications/5467 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-04 28 5459 article Junghyun Nam jnam@ung.edu Aim/Purpose This study explores the motives behind the use of computer-mediated communication (CMC) technologies in business planning, where effective team communication is vital for collaboration. Background Effective communication and collaboration are crucial in business planning, making the selection of the right communication tools essential. Methodology By addressing this topic from a uses and gratifications (U&G) perspective and applying the Technology Acceptance Model (TAM), the research informs our understanding of both extrinsic and intrinsic motivations influencing the adoption of CMC tools. An empirical survey conducted with students, coupled with factor analysis, identified seven key motivational factors driving the use of CMC technologies. Contribution The study provides critical insights for clients and developers of popular CMC platforms such as Messenger, Telegram, Skype, and KakaoTalk, informing the design of features that align with user needs and preferences. Findings Factor analysis revealed seven key motivational factors: (1) amusement, (2) usefulness, (3) perceived ease of use, (4) style, (5) information seeking, (6) sociability, and (7) connection with people. Among these, amusement emerged as the most significant motivator, even in the context of business planning. This finding underscores the importance of engaging and enjoyable features in promoting the use of these tools. Impact on Society By incorporating the seven identified motivations, companies can refine their platforms to better meet client expectations, fostering greater user satisfaction and adoption in collaborative business environments. Future Research Future research could build on this study by exploring how users’ personality traits influence their participation and behavior when using CMC technologies. http://www.informingscience.org/Publications/5459 computer-mediated communication business planning motivation use and gratification eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-10 28 5470 article Rohit Sahu rohitsahuglb@gmail.com Satya Prakash Yadav prakashyadav.satya@gmail.com Victor Hugo C. de Albuquerque victor120585@yahoo.com.br Fadi Al-Turjman fadi.alturjman@neu.edu.tr The modern technologies intend to solve significant problems and concerns related to service development, disease prediction, and resource optimization, the always shifting terrain of healthcare has seen notable changes. Covering security issues and technological innovations in the healthcare sector, this special series pays especially attention to machine learning, deep learning, and optimization algorithms. It is essential to inform the clients while protecting information from others. The findings of the studies shown in this series highlight the opportunities as well as the possible disadvantages of modern technologies in healthcare environments, so addressing a wide spectrum of healthcare issues. http://www.informingscience.org/Publications/5470 informing security issues medical domain healthcare Deep Genetic Algorithm Improvised Fuzzy Logic Algorithm eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5447 article GIRIMURUGAN B skbgiri@yahoo.co.in Ashvin T.K tk_ashvin@yahoo.com Hemalatha T hemasanthosh.phd@gmail.com Riyaz Hussain Sk riyazhussain786@gmail.com Sannidhan M S sannidhan@nitte.edu.in UMAYA SALMA Salma umaya.salma@gmail.com Aim/Purpose: The main goal of this work is a new framework that combines genetic algorithms with deep learning. The delivery of healthcare services will be optimized as the aim of this research. Background: Optimizing the provision of healthcare services is essential to ensuring that patients get suitable and timely treatments and materials. Methodology: This work presents a new framework for DGA-based healthcare service delivery optimization by the application of this methodology. The procedure consists of two stages: training a deep neural network to assess the feasibility of possible solutions and encoding the problem space into a format appropriate for genetic operations. The neural network evaluations are used as the guiding principle as the genetic algorithm iteratively creates a population of solutions by selection, crossover, and mutation. Contribution: The main contribution of this work is the solution of the optimization issues related to the provision of healthcare services by combining deep learning and genetic algorithms. Ultimately, we want to improve patient outcomes and resource use by leveraging the potential of DGAs to improve the efficacy and efficiency of healthcare systems. Findings: The results of laboratory experiments show that the proposed approach is successful in optimizing the provision of healthcare services. The proposed DGAs enable more high-quality solutions than conventional optimization methods. Recommendation for Researchers: This work presents a novel framework that uses deep genetic algorithms (DGAs) to effectively optimize the provision of healthcare services and address these issues. Future Research: This work can be enhanced using several deep-learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5447 healthcare service delivery optimization deep genetic algorithm patient outcomes eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5448 article Sreekala S.P spsreekalaashok@gmail.com Poonkuzhali L poonkuzhalibjp@gmail.com V.S.S.P. Raju Gottumukkala vssprajug@gmail.com Jaazieliah R jaazieliah.cse@karpagamtech.ac.in Saravanan M saranecedgl@gmail.com Praveenadevi D praveenadevid86@gmail.com Aim/Purpose: This study aims to develop a predictive model using extensive patient records to forecast lung cancer outcomes. Lung cancer is a severe international fitness difficulty that still exists because the outcomes of sufferers differ significantly from each other. Predictive modeling has a massive promise to improve and better comprehend ailment outcomes. In this work, we use ensemble studying techniques – particularly Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Decision Timber (DT) – to determine the direction of lung cancer ailment, so addressing the pressing need for specific prognostic gear. Background: Lung cancer is a severe international fitness difficulty that still exists due to the fact the outcomes of sufferers differ significantly from each other. Predictive modeling has massive promise to improve and better comprehend ailment outcomes. In this work, we use ensemble studying techniques—particularly Artificial Neural Networks (ANN), aid Vector Machines (SVM), and decision timber (DT)—to determine the direction of lung cancer ailment, so addressing the pressing need for specific prognostic gear. Methodology: The proposed approach employs an ensemble learning algorithm to improve predictive accuracy. The dataset permits a thorough evaluation of the prognosis of most lung cancers because it has an extensive range of clinical factors, patient demographics, and molecular markers. Contribution: The issue of predicting the path of most lung cancers is complicated because of the intricate relationship of several medical, genetic, and environmental elements. This work improves the degree of accuracy and dependability required for treatments. Findings: The study suggests that ensemble studying helps forecast lung cancer sickness, and the proposed model outperforms traditional techniques with its better sensitivity, accuracy, and specificity. http://www.informingscience.org/Publications/5448 Support Vector Machines (SVM) predictive modeling lung cancer Artificial Neural Networks (ANN) ensemble learning Decision Trees (DT) eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5421 article Sreekala S.P spsreekalaashok@gmail.com Mudit Saxena mudit051285@gmail.com Revathy S revathy@psgcas.ac.in Rajapriya. M rajapriya.m19@gmail.com Shanthi N. S ns.santhi2005@gmail.com Saravanakumar S. drssk81@gmail.com Aim/Purpose: The aim of this work is to propose an RL framework in healthcare settings for adaptive healthcare decision-aid strategy. Background: Adaptive decision guide systems are needed to assist doctors in making timely and accurate selections because healthcare environments are getting more complicated and variable. But, because of the enormous stakes and the need for interpretability and dependability in selection-making, using Reinforcement Learning (RL) in healthcare environments brings a unique set of difficulties. Methodology: The RL framework trains an agent using patient records, clinical guidelines, and expert knowledge. The agent interacts with healthcare settings, which can be both simulated or natural, and gets input on how its decisions affect the outcomes. The framework incorporates clear methods for decision-making and limitations on the actions the RL agent can undertake to guarantee both safety and clarity. Contribution: An RL framework in healthcare settings is proposed in cope painting for adaptive healthcare decision aid strategy, which can learn the excellent choice policies from affected person facts and yet assure protection, interpretability, and medical relevance. Findings: The findings of the experimental evaluations show that the RL framework works nicely to improve choice-making accuracy and versatility for a long time. Patient results can be substantially improved using the device while following medical recommendations and safety policies. Recommendation for Researchers: To integrate the device into medical exercise because clinicians can recognize and trust the suggestions made with the aid of the gadget due to the fact the learned decision rules are interpretable. Future Research: It can be enhanced using several deep-learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5421 adaptive decision support systems reinforcement learning interpretability healthcare patient outcomes eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5449 article Buvaneswari R.P buvanaphd@gmail.com Sathis Kumar M sathismani13@gmail.com Ravi Kumar K k.ravikumar1072@gmail.com Sandeep kumar M sandeepbluehills@gmail.com Rajeshwari S rajeshwarismba@gmail.com Karunambiga K karunambiga.cse.cit@gmail.com Aim/Purpose: To optimize healthcare resource allocation using residual convolutional neural networks. Background: In the early stages, several traditional methods were adopted and implement-ed; however, the rise of AI and its technologies increased development in the healthcare sector and made it reach a better height in Industry 4.0. In the early stages, several traditional methods were adopted and implemented; however, the rise of AI and its technologies increased development in the healthcare sector and made it reach a better height in Industry 4.0. The main problem of this research is focusing on the inefficient allocation of healthcare resources, which leads to less outcome and accuracy. This research’s main novelty and objective is to implement a predictive model that may allocate resources based on several factors. Methodology: In the proposed method, Residual CNNs, a deep learning architecture well-known for its efficacy in image classification applications, we assess healthcare data and estimate ideal resource distribution. Residual CNNs are well-trained in the dataset on several factors and characteristics. The model produces predictions of resource allocation that maximize healthcare outcomes using comprehension of complex relationships and patterns in the data. Contribution: The novel feature of this work is the integration of the state-of-the-art deep learning architecture Residual CNNs into the domain of healthcare resource allocation. The proposed method, Residual CNNs, is well-trained in the dataset on several factors and characteristics. The model produces predictions of resource allocation that maximize healthcare outcomes by comprehending complex relationships and patterns in the data. Findings: We show experimentally that the proposed approach effectively allocates healthcare resources. The residual CNN model outperforms traditional methods in accurately predicting resource allocation needs across different regions and demographic groups. We find significant increases in resource allocation efficiency by applying deep learning techniques, which enhance healthcare outcomes and reduce treatment disparities. Recommendation for Researchers: Investigations should prioritize the validation of the algorithm in various healthcare environments to assess its efficacy in clinical application. Future Research: This work can be enhanced in future research using several deep-learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5449 healthcare resource allocation deep learning convolutional neural networks optimization eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5452 article Mekala A mekalaresearch@gmail.com Shahnaz Fatima Shahnaz1981fat@gmail.com Subba Rao BV bvsrau@gmail.com Rajendra Prasad J rp.rajendra@rediffmail.com Banupriya P.G banupriya.cse@karpagamtech.ac.in K venkataramana ramanakaveripakam@gmail.com Aim/Purpose: The aim of this work is to introduce a novel technique for enhancing hospital network security using a Deep Autoencoder (DAE). Background: The digitization of healthcare institutions increases the risk of cybercrime due to network security vulnerabilities. Methodology: In this work, we model a novel technique called DeepHeal framework that uses a robust Deep Autoencoder (DAE) for improved cybersecurity and protection against intruders in healthcare networks. Using the deep learning techniques named DAE, DeepHeal identifies and stops cyber dangers, including various hostile attacks, illegal access, and data breaches. Healthcare networks are susceptible to various cyberattacks and intrusions. The DAE architecture enables training with high-level representations to detect anomalies and traffic patterns. By carefully analyzing datasets from real healthcare networks, we demonstrate that DeepHeal effectively identifies and counters various cyber threats. Contribution: The research using the proposed method offers a great potential in terms of accuracy, scalability, and real-time threat detection. Moreover, by highlighting the specific elements and network characteristics that are behind the anomalies it discovers, DeepHeal makes comprehension of them easier. Findings: The proposed DAE model combined with RNN achieves a higher accuracy and precision level of 98%. The proposed DAE model outperformed existing models, which offers its ability to identify and resolve cybersecurity problems in hospital networks. Recommendation for Researchers: The security threats on patient data is considered sensitive and it offers improved healthcare networks security and this is found essential for the reliability and confidentiality of patient data in healthcare networks. Future Research: The proposed method’s research offers great potential in terms of accuracy, scalability, and real-time threat detection. http://www.informingscience.org/Publications/5452 network security DAE DHeal healthcare eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5445 article Sujatha S sujasakthi22@gmail.com Sathiya M. sathiya.marappan@gmail.com Sivaramakrishnan A arulsivaram@gmail.com Balambigai Subramanian sbalambigai@gmail.com Venkata Ramana K ramanakaveripakam@gmail.com Annapantula Sudhakar sudhakar.a@gmrit.edu.in Aim/Purpose: Traditional hyperparameter tuning methods’ inefficiency and low accuracy in diabetes prediction. Application and evaluation of Bayesian optimization aim to increase the accuracy of diabetes prediction models. Background: Bayesian optimization (BO) has emerged as a powerful technique for hyperparameter tuning in machine learning models with its methodical approach for optimizing complex functions with expensive evaluations. Selecting the optimal hyperparameters for models can significantly increase prediction accuracy in the healthcare sector, particularly for diabetes prediction, hence improving patient outcomes and resource management. Methodology: Among the well-known diabetes databases used in the study is the Pima Indian Diabetes Database. Among the machine learning models developed and whose hyperparameters are modified via Bayesian optimization are Support Vector Machines (SVM), Random Forest, and Gradient Boosting Machines (GBM). The optimization process is compared with traditional tuning methods to assess improvements in model performance. Contribution: Problems include the increasing prevalence of diabetes worldwide and the role vital function prediction models play in early diagnosis and therapy. Especially when dealing with enormous datasets common in healthcare, grid search, and random search are sometimes computationally taxing and inefficient. However, Bayesian optimization promises a more practical and economical approach by selecting hyperparameters iteratively based on earlier evaluations. Findings: Bayesian optimization not only yields faster calculation times but also outperforms traditional methods. More precisely, models adapted by Bayesian optimization show greater sensitivity and specificity, which are crucial for accurate and prompt diabetes diagnosis. Recommendation for Researchers: By highlighting the specific elements and network characteristics that are behind the anomalies it discovers, on a real-time or large scale dataset. Future Research: This work can be improvised using several recent artificial intelligence algorithms with the integration of IoT on real-time datasets. http://www.informingscience.org/Publications/5445 machine learning Bayesian hyperparameter diabetes prediction healthcare applications eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5411 article Sarasu R R sarasudscet@gmail.com Sunil Kumar skvermamc@gmail.com Thomas M mthomas2005@gmail.com John Philip Bhimavarapu johnphilip@kluniversity.in Shyamala L shyamalamaths2021@gmail.com Rolly Gupta rollyg@srmist.edu.in Aim/Purpose: To develop a Deep Fuzzy Logic (DFL) model linking all hospital departments –inpatient, outpatient, and A&E. To maximize staff distribution and bed capacity using linear optimization techniques. Background: Growing pressure on healthcare systems calls for efficient use of resources when extra money is not accessible. Rising demand and limited capacity in every field of medicine need comprehensive modeling for hospitals. Methodology: We developed a DFL model combining outpatient, hospital, and A&E services. This model estimates demand for all specialties, considers patient pathway uncertainty, and projects required bed capacity and staff demands by linear optimization using discrete event simulation. Contribution: Complete hospital models are rare; recent studies demonstrate the rising use of numerous operational research (OR) techniques. Deep Fuzzy Logic (DFL) models are becoming more and more interesting when combined with optimization, simulation, and forecasting. Findings: The model provides a means of short-term and long-term strategic planning decision support to crucial decision-makers. Our DFL model showed a 15% gain in bed utilization efficiency and a 10% drop in staff shortages compared to more traditional methods. Recommendation for Researchers: Investigations should prioritize the validation of the algorithm in various healthcare environments to assess its efficacy in clinical application. Future Research: In future research, this work can be enhanced using several deep learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5411 deep fuzzy logic healthcare modeling discrete event simulation linear optimization hospital resource management eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5417 article Denslin Brabin D.R denscse@gmail.com Shaik Mohammad Rafee mdrafee1980@gmail.com Pratheeksha Hegde N pratheeksha.hegde@nitte.edu.in Agitha W ajithajerry@gmail.com Saravanan M saranecedgl@gmail.com Subbulakshmi R subbulakshmi.cse@karpagamtech.ac.in Aim/Purpose: A new predictive model for disease outbreak prediction is to be developed using Temporal Graph Convolutional Networks (TGCNs). Background: The emergence and spread of contagious diseases seriously threaten public health systems worldwide. Early diagnosis and disease outbreak prediction are necessary to implement quick solutions and reduce their impacts. Present methods often overlook the complex connections between many factors influencing disease transmission, such as population dynamics, temporal trends, and spatial proximity. To overcome these limitations, we introduce TGCNs as a novel paradigm for disease outbreak prediction. Methodology: Temporal convolutional and graph neural networks are coupled in TGCN models to reflect spatiotemporal dependencies in disease spread. The degree of interaction between different locations is shown by edges in a graph, and this spatial relationship forms the foundation of the graph structure. Using this proposed method, temporal convolutional layers, and graph convolutional layers, TGCNs learn temporal patterns in disease incidence data and geographical representations of nodes. Contribution: The main research problem in this research is to tackle and develop a prediction model that can accurately predict disease outbreaks based on diverse data sources, which mainly focus on the application of temporal surveillance data and geographical relationship information. In this research work, the objective is to describe the dynamics and underlying structure of disease transmission networks throughout time and to harness the capabilities of graph convolutional networks (GCN), which precisely forecast and focus on future outbreak episodes. Findings: The TGCNs outperformed state-of-the-art methods for disease outbreak prediction using the disease surveillance datasets. Through the effective application of both temporal and spatial information strategies, TGCNs show strong performance across various disease types and geographical areas, which helps to achieve better results and accuracy on an enhanced proposed method. Recommendation for Researchers: Investigations should prioritize the validation of the algorithm in various healthcare environments to assess its efficacy in clinical application. Future Research: In future research, this work can be enhanced using several deep learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5417 disease public health temporal graph convolutional networks spatiotemporal dynamics prediction eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5431 article Vishal Gangadhar Puranik vishalpura@gmail.com Sunil Kumar skvermamc@gmail.com Kalpana C kalpana.cse@karpagamtech.ac.in Ramesh Babu P drprb2009@gmail.com Amutha J amuthacse@psr.edu.in Vasudhevan V vasudhevan.vee@gmail.com Aim/Purpose: This work intends to give a method for the automatic superimposition of facial and cranium anatomical images coupled with integrating jaw movement. Using an automated alignment method will help to raise the accuracy and efficiency of the forensic face reconstruction procedure. Given their reliance on human participation, conventional approaches are prone to subjectivity and errors. Differential Genetic Algorithm (DGA) accounts for mandibular articulation and allows for exact alignment of skull and facial images, therefore reaching strong optimization. Background: Forensic face reconstruction is a crucial field of research for the anthropological sciences and the criminal justice system. Although modern methods offer benefits, their dependability is not always guaranteed since they rely on human interaction. By using a DGA, the proposed approach overcomes this limit and boosts efficiency. Differential evolution and genetic algorithms, which can capture all the special features required for perfect face reconstruction, help to improve the alignment. Methodology: This study aims to enhance the alignment parameters between image graphs of the skull and visage, and it also considers mandibular articulation using a DGA. Genetic operators and differential evolution support the program in efficiently investigating the domain of feasible solutions. Whether the superimposed images properly depict the intended face traits is found rather successfully by means of the fitness function. Contribution: This work offers a suitable solution for progressive forensic facial reconstruction using a technique based on DGA for automated overlay. An improved level of accuracy and realism is shown by comparing the obtained result with other existing approaches and methods on mandibular articulation in the reconstructed facial images. Findings: The proposed DGA has been proven to match images of the face and the cranium exactly by including the articulation of the jaw. The automatic overlay shows the possibilities of the forensic techniques since it generates results equal to or better than those acquired by hand. Recommendation for Researchers: Scholars should improve the proposed method by means of more dataset integration and genetic algorithm configuration change. Future Research: In future research, this work can be enhanced using several deep learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5431 mandible articulation differential genetic algorithm forensic facial reconstruction image overlay automated alignment eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5446 article THULASI BIKKU thulasi.jntua@gmail.com Joy Elvine Martis joymartis@nitte.edu.in Sunil Kumar M sunilmalchi1@gmail.com Sudha S sudhanithi@gmail.com Iyappan P iyappan.perumal@vit.ac.in Natarajan C natarajan@psr.edu.in Aim/Purpose: The major goal of this work is to establish prediction patterns that can influence better diagnosis and treatment strategies using unidentified interactions between genes. Background: Driven by the rapid advances in genomics, knowledge of the factors causing disease depends more on deciphering the deep linkages existent in the data of gene expression. Common approaches typically fail to grasp temporal links when dealing with always-changing living biological systems. This work overcomes this restriction by leveraging the sequential learning abilities of LSTM together with the improved pattern recognition capacity of SVM. Methodology: Our method uses a hybrid model combining LSTM and SVM to forecast gene expression. Working together, the LSTM and SVM components find relevant features in the gene expression data, clarifying trends in the data. Furthermore, the LSTM component oversees data temporal dependencies. Regarding accuracy and interpretability, this extra method helps to improve prediction models used in the healthcare industry. Contribution: There are many ways to get a key insight from data on gene expression. The LSTM and SVM for biclustering gene expression data offer much for healthcare informatics. Findings: The proposed LSTM-based SVM is used to evaluate numerous current methods of evaluating performance metrics. Using these opens several opportunities for the development of customized medicine and the customization of therapies in line with personal genetic profiles. Recommendation for Researchers: Examining the LSTM-SVM hybrid model that has been proposed using a variety of healthcare-related datasets Future Research: This work can be enhanced using several deep-learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5446 healthcare biclustering gene expression SVM LSTM predictive modeling eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5441 article Sushama C sushama.c@vidyanikethan.edu Shaik Mohammad Rafee mdrafee1980@gmail.com Senthil Kumar A senthil.kumar-cse@dsu.edu.in Srilakshmi A srilakshmialla19@gmail.com Subbulakshmi R subbulakshmi.cse@karpagamtech.ac.in Balambigai Subramanian sbalambigai@gmail.com Aim/Purpose: The aim of this work is to develop and validate a deep learning algorithm (DLA) that can precisely estimate the likelihood of CLABSIs by using data from electronic health records (EHRs). The objective is to create a tool to help medical professionals find patients more likely to acquire a CLABSI before the central line is inserted. Thus, this would make timely intervention and the application of preventative policies much simpler. Background: A major cause of the infections acquired in hospitals is CLABSIs, which in turn cause major illness, death, and financial challenges. Applied risk assessment techniques have not been effectively validated in hospital populations, reflecting the whole nation. This emphasizes the need to create more sophisticated techniques to precisely identify patients categorized as being at high risk. Methodology: Deep attention networks were thus used to build a deep learning system. Readily available data from electronic health records helped these networks to be trained. This approach aims to forecast a patient’s chances of acquiring a CLABSI following the insertion of a central line into their body while they are recovering in the hospital. Contribution: Our aim is to solve the lack of risk prediction tools by offering a deep learning-based methodology using electronic health record (EHR) data. We aim to enable quick intervention options by means of a predictive tool seamlessly integrated into clinical workflow, thus improving the detection of patients at high risk. Findings: Regarding the prediction of CLABSI risk before a central line is inserted, our deep learning system shows encouraging performance. Additional validation on a wide spectrum of patient populations is essential for deciding the relevance and applicability of the conclusions. Recommendation for Researchers: Investigating should give the validation of the algorithm top importance in many healthcare environments to assess its usefulness in clinical application. Moreover, it is advised that efforts be made to guarantee that the algorithm is easily understandable and enhance its efficiency, increasing its acceptance as a tool for clinical decision assistance. Future Research: Using several deep learning techniques to attain higher degrees of accuracy and performance will help improve this work in the future. http://www.informingscience.org/Publications/5441 CLABSI deep learning central line-associated bloodstream infections electronic health records risk prediction eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5416 article Sushama C sushama.c@vidyanikethan.edu Shaik Mohammad Rafee mdrafee1980@gmail.com Jaimala Jha jaimala.jha@gmail.com Sujatha S sujasakthi22@gmail.com Jagadeesan Srinivasan jagavasan@gmail.com Mohana Krishna I irrinki_mk@yahoo.com Aim/Purpose: This work attempts to investigate the application of Long Short Term Memory (LSTM)-based predictive analytics in the medical field. The scope comprises the development and application of LSTM models to forecast outcomes, including patient diagnosis, treatment responses, healthcare resource consumption, and other relevant variables. Background: Predictive analytics has become popular in many other industries, including healthcare, since it can analyze enormous amounts of data and project future patterns. For LSTM, a variant of encoder-decoder LSTM-based recurrent neural network (RNN), time-series prediction activities have demonstrated superior performance. Accurate projections in the medical industry can lead to better patient outcomes, optimal use of resources, and cost cuts. Methodology: The method calls for compiling and preparing medical data from numerous sources. Using prior data, LSTM models will learn temporal patterns and relationships between target outcomes and input variables. Several techniques, including feature engineering, hyperparameter tuning, and model evaluation, will be employed to maximize LSTM-based predictive analytics. Contribution: This work supports the growth of predictive analytics in the healthcare industry by demonstrating the accuracy of LSTM models in forecasting significant clinical outcomes. This research could change healthcare decision-making processes, improving general operational effectiveness, patient treatment, and resource use. Findings: Among other healthcare outputs, the results suggest that LSTM-based predictive analytics can faithfully project patient diagnosis, illness progression, and therapy responses. The models outperform traditional forecasting methods over multiple datasets in terms of reliability and accuracy. Recommendation for Researchers: Future studies can focus on bettering model designs, leveraging various data modalities, and including predictive analytics in clinical decision support systems. Cooperation among data scientists, medical professionals, and legislators will help to realize the possibilities of LSTM-based predictive analytics in healthcare. Future Research: This work can be enhanced in future research using several deep learning algorithms with a real-time industrial dataset. http://www.informingscience.org/Publications/5416 LSTM encoder decoder predictive analytics eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5419 article Mredu Goyal mredu.goyal@jaipur.manipal.edu Sunil Kumar skvermamc@gmail.com Kala I ootykala@gmail.com Gamachu Fufa hayyuugamachu@gmail.com Archana Devi S archanadevi1190@gmail.com Mazharunnisa Md drmazhar28@gmail.com Aim/Purpose: Neuromarketing transforms marketing by offering deeper insights into consumer behavior and emotions, enabling more effective but challenging marketing practices. Businesses must leverage these insights, adapt strategies, and explore innovative approaches to drive growth. Despite its rapid development, research in this field remains limited and calls for deeper exploration. Background: Neuromarketing’s growing relevance in marketing makes exploring its theoretical foundations and application important. Understanding neuromarketing’s intellectual structure is essential to guide businesses in leveraging these insights and adapting their strategies. Methodology: The researchers applied VOSviewer and Biblioshiny software to perform a range of examinations, including encircling keyword scrutiny, bibliographic coupling assessment, citation scrutiny, and three-field plot investigation. Contribution: To fill this knowledge gap, this study examines the intellectual structure of neuromarketing and identifies avenues for future research. Findings: The identification of seven distinct clusters within the neuromarketing domain is the key outcome of the study, namely “Integration of Neuroscience Techniques in Marketing,” “Pervasive Cues in NM,” “Modalities in NM,” “Boundaries and Frontiers of NM,” “NM in practice,” “Inferences of NM Data,” and “Novel metrics of NM.” Future research directions are offered for each of these clusters, followed by a discussion of the consequences for management and research, a conclusion, and an acknowledgment of the study’s limitations. Recommendation for Researchers: Leverage neuromarketing insights, adopt innovative strategies, and ensure ethical practices to enhance marketing effectiveness and drive business growth. Future Research: Employing cutting-edge tools like VOSviewer and Biblioshiny, the research meticulously scrutinizes the current literature landscape, elucidating prominent patterns and pinpointing promising avenues for future exploration. http://www.informingscience.org/Publications/5419 bibliometric analysis bibliographic coupling Biblioshiny disruption strategies neuromarketing VOSviewer eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5443 article Mahalaxmi S.B.K. U. aumahalakshmi@gmail.com Kala I ootykala@gmail.com Lalit Kumar Sagar saglalit@gmail.com Thomas M mthomas2005@gmail.com Ashish Kumar Kaushal ashishkiitd89@gmail.com Nismon Rio Robert nismon.rio@christuniversity.in Aim/Purpose: In this research work, we have developed a predictive model that focuses on utilizing knowledge from the related domains. Background: A serious public health issue, especially in tropical and subtropical regions, is dengue fever, a viral infection passed by mosquitoes. Accurate early prediction of disease outcomes is essential for both efficient patient management and effective use of resources. More complex methods are required since conventional prediction models could be faulty with limited labeled data and complex feature interactions. Methodology: We propose a new strategy integrating deep attention mechanisms with transfer learning to enhance prediction modeling of dengue disease outcomes. First pre-trained on a large, linked dataset of common viral illnesses, a deep neural network enables the model to learn generic properties. We then iteratively improve our pre-trained model using a specific dengue dataset. Incorporating a deep attention mechanism allows for the focus on the most relevant features, improving interpretability and accuracy. Contribution: Among logistic regression, random forests, and basic deep learning methods, current models reveal poor accuracy and dependability in forecasting dengue disease outcomes. These models sometimes fail to sufficiently depict the complicated interactions among clinical variables, especially under conditions with limited data. Findings: The proposed method outperforms more traditional models pretty strongly. Our model acquired in the training phase an accuracy of 0.92, precision of 0.91, recall of 0.90, and F1-score of 0.90. It maintained high performance on testing with an accuracy of 0.91, precision of 0.90, recall of 0.89, and an F1-score of 0.89. Similar patterns were indicated by an accuracy of 0.90, precision of 0.89, recall of 0.88, and an F1-score of 0.88 validation results. The model also demonstrated a lowered loss (0.21, 0.23, 0.24 in training, testing, and validation, respectively), higher true positive rates (0.90, 0.89, 0.88), and lower false positive rates (0.10, 0.11, 0.12). Deep attention methods and transfer learning offer a robust and effective strategy for predictive modeling of dengue disease outcomes, therefore considerably boosting accuracy and dependability. This approach offers considerable possibilities for dengue-endemic patient management and resource allocation. Recommendation for Researchers: Investigations should prioritize the validation of the algorithm in various healthcare environments to assess its efficacy in clinical application. Future Research: In future research, this work can be enhanced using several deep learning algorithms to achieve better accuracy and performance. http://www.informingscience.org/Publications/5443 dengue prediction transfer learning deep attention mechanisms predictive analytics healthcare informatics eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5454 article Shaik Mohammad Rafee mdrafee1980@gmail.com Sreelatha P sreelathaselvaraj@gmail.com Antonios Kalampakas antonios.kalampakas@aum.edu.kw Yamini S yamini.shree18@gmail.com Jayaprakash M jayaprakash040387@gmail.com Celine Kavida A celinearuldoss@gmail.com Aim/Purpose: The purpose of this research is building a deep learning framework for thyroid medical image analysis by using CNNs. Background: Thyroid disease diagnosis depends critically on thyroid medical image analysis. Though their design and settings can be optimized, Convolutional Neural Networks (CNNs) have showed promise in automating this process. Powerful metaheuristic technique Particle Swarm Optimization (PSO) can efficiently optimize CNNs for improved performance. Methodology: We provide in this work a deep learning method for thyroid medical image interpretation and prediction by merging CNNs with PSO. In order to extract pertinent features, we first preprocess the medical images. We next construct a CNN architecture based on the image properties. Using PSO, the CNN architecture and its hyperparameters—filter sizes, layer count, and learning rates—are optimized. To learn discriminative features and patterns, the optimized CNN is trained using a sizable dataset of thyroid images. Contribution: Our method uses the synergistic potential of deep learning and metaheuristic optimization to advance the field of medical image analysis. Improved thyroid image analysis task performance results from our efficient search of the large space of CNN architectures and hyperparameters by integrating PSO. Findings: Our proposed method is shown to be beneficial by experimental data. Higher accuracy, sensitivity, and specificity were obtained by the optimized CNN in thyroid disease detection than by conventional CNN architectures. Recommendation for Researchers: Furthermore, in terms of computing efficiency and accuracy of prediction, our method beat those of previous methods. Furthermore improved interpretability of the learnt characteristics gave important new perspectives on the underlying patterns in thyroid images. Future Research: In future research, this work can be enhanced using several deep learning algorithms for achieving better accuracy and performance. http://www.informingscience.org/Publications/5454 Medical Image Analysis Thyroid Particle Swarm Optimization Convolutional Neural Networks Prediction eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-03-12 28 5418 article Sathyasundari S drsathyasundari@gmail.com Saraswathi C saraswathic@bitsathy.ac.in Arulini K nathiya.karuppanan@nandhaengg.org Rolly Gupta rollyg@srmist.edu.in Pradeepa K drkpradeepa@gmail.com GIRIMURUGAN B skbgiri@yahoo.co.in Aim/Purpose: In the field of primary and secondary healthcare, the widespread adoption of electronic health record (EHR) systems has resulted in the availability of a vast quantity of clinical data that is simple to access. From where we were before, this is a significant advancement in our situation. Background: Melanoma is a common skin cancer; nevertheless, despite the fact that it has a high death rate, medical professionals frequently make an incorrect diagnosis of it. It is essential to refer patients to arrive at an accurate prognosis from the beginning. Methodology: Within the scope of this investigation, we develop an ensemble evolutionary framework in order to classify cancer disorders through the utilization of electronic health information. Contribution: Electronic health record systems are responsible for this influence. The majority of this data originates from clinical reports that were either spoken or recorded by medical professionals. These reports were not arranged in any way. Findings: The proposed method outperforms the other approaches in terms of the classification rate, as we discovered when we ran the simulation to evaluate how well the model functions. Recommendation for Researchers: This work can be recommended for developing a novel framework that uses deep learning algorithms to effectively optimize the provision of healthcare services and address these issues. Future Research: This work can be enhanced using several deep-learning algorithms for better accuracy and performance. http://www.informingscience.org/Publications/5418 evolutionary model ensemble model feature selection classification eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-04-01 28 5475 article Yemisi Tomilola Babalola yemisiolutayo@yahoo.com Tolulope Elizabeth Adenekan lizzyadenekan@gmail.com Aim/Purpose: This study examined the practices, experiences, and challenges of postgraduate Library and Information Science (LIS) students in Nigeria in managing electronic documents. Background: Many universities have transitioned from the physical to a virtual environment for both lecture and supervision since the outbreak of the COVID-19 pandemic in 2020. This transition has benefits and challenges for people, especially regarding managing electronic documents. This study examined the electronic information management practices of postgraduate LIS students in Nigeria. Methodology: The population was 1,358 postgraduate students of LIS schools in Nigeria. A sample size of 309 was obtained using the Taro Yamane formula and a purposive sampling technique. Contribution: There is a dearth of studies on electronic information management of postgraduate students in Nigeria. This study fills the gap. The study highlights areas of improvement and training needs of postgraduate researchers with respect to the management of electronic documents. Findings: File naming practice was poor among the respondents, as fewer than 20% always saved their files and folders by date and year. Only 14 (6.7%) always used version numbers to save documents with multiple versions, while more than 50% never did. Email boxes, flash drives, and smartphones were popular storage media among the respondents. Although the majority admitted to always or sometimes updating their antivirus and avoiding suspicious sites, about 30% do not use Virtual Private Networks (VPN), do not change their password regularly, and use the same password for different accounts. Furthermore, only 13.9% use web-based reference systems like Mendeley and Zotero to keep the documents they find online. About 90% had experienced a total loss of electronic files. File management practices were independent of gender and program level. Future Research: The data management practices of postgraduate researchers should be examined in future studies. http://www.informingscience.org/Publications/5475 COVID-19 pandemic electronic information management file naming practices LIS postgraduate students personal information management eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-04-01 28 5478 article Rishi Dwesar rishidwesar@ibsindia.org Ankita Sharma dr.ankitasharma912@gmail.com Megha Tyagi mtyagi195@gmail.com Aim/Purpose: This study aims to evaluate the dual impact of online reviews and display advertising on consumer purchase behavior, addressing a critical gap in understanding how these multi-source communications interact and concurrently persuade consumers. Specifically, it examines the psychological mechanisms of skepticism toward advertising and priming, exploring their combined influence on the effectiveness of these communications. Background: Integrated Marketing Communication (IMC) emphasizes the effectiveness of delivering consistent messages through multiple channels, creating a synergistic impact beyond individual messages. Studies reveal stronger persuasive effects when combining sources like social media, traditional marketing, and various media platforms, compared to single-source exposure, possibly due to the integration of psychological mechanisms involved in processing information from multiple sources. Methodology: Two experimental studies were conducted. The first study used a 2x2x2 between-subjects design with 317 participants exposed to eight media conditions, varying message sources, sequence, and content. Self-reported data was collected on established scales to measure skepticism toward advertising and priming. The second study involved 123 participants and used eye-tracking technology to assess their attention to the stimuli across four media conditions. Contribution: This research highlights how combining online reviews with display advertising creates powerful synergies, surpassing single-source communication. Examining psychological mechanisms like skepticism toward advertising and priming uncovers how multi-source messaging enhances consumer trust and engagement. The study provides a deeper understanding of consumer attention and behavior by exploring the impact of message sequence and variation, supported by eye-tracking insights. Extending IMC literature demonstrates how integrating marketer-controlled and consumer-driven sources boosts ad credibility and effectiveness. The findings empower marketers with actionable strategies to craft balanced, trust-driven communication while fostering informed consumer decision-making. Findings: Results show that combining online reviews and ads reduced skepticism, leading to stronger attitudes toward the ad and the brand and higher purchase intention. Participants exposed to reviews first were less skeptical and more influenced by ads. Eye-tracking in Study 2 showed that varied messages led to greater attention on product headlines, while similar messages made participants focus more on review credibility, indicating higher skepticism. Recommendation for Researchers: The research shows that underlying psychological mechanisms have an important role in creating media synergies. Nevertheless, examining such mechanisms is often challenging. Using novel approaches can help in uncovering such mechanisms. Future Research: Future research should explore similar phenomena in real-world settings, examine hedonic products, include online reviews with negative valence, and investigate additional psychological mechanisms using robust techniques like thought listing. http://www.informingscience.org/Publications/5478 integrated marketing communication persuasiveness cross-media integration psychological mechanisms eye-tracking eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-06-05 28 5518 article Alex Winarno winarno@telkomuniversity.ac.id Ika Anggrainy Wibowo ikawibowo42@gmail.com Mahendra Fakhri mahendrafakhri@telkomuniversity.ac.id Aim/Purpose This study examines how e-recruitment and employer branding influence Gen Z’s job application intentions in Indonesian SOEs, filling a gap in research on employer branding’s mediating role. Background This study aims to answer the extent to which e-recruitment affects the intention to apply through the mediating role of employer branding. Methodology This study employed a quantitative approach. Data collection was facilitated by questionnaires disseminated to 300 new graduates interested in applying to state-owned companies in Indonesia. The collected data were then analyzed using the SEM-PLS technique, supported by SmartPLS 4.0 software. Contribution This research provides a theoretical contribution to the literature on the intention to apply among Generation Z, especially in the context of state-owned enterprises in Indonesia. This research also provides practical implications for state-owned enterprises to increase their attractiveness as employers. Findings The study’s findings indicated that e-recruitment significantly influences employer branding but does not directly impact the intention to apply. However, employer branding plays a crucial role as it significantly affects the intention to apply. Moreover, employer branding also acts as a significant mediating factor in the relationship between e-recruitment and the intention to apply, further strengthening the indirect impact of e-recruitment on potential applicants’ intentions. Recommendations for Practitioners Indonesian state-owned enterprises are advised to strengthen their employer branding strategies that are creative and in line with the preferences of Gen Z, as well as to ensure transparency and responsiveness in the e-recruitment process to increase their attractiveness as a workplace of choice. Recommendations for Researchers Future researchers are encouraged to explore additional variables that influence intention to apply, such as the role of digital technology and social media. Comparison of various sectors and generations can also yield valuable insights and offer a more comprehensive perspective. Impact on Society The findings of this study contribute to improving the competitiveness of the Generation Z labor force and assist state-owned enterprises in Indonesia in their efforts to attract a greater number of young professionals, thereby reducing youth-based unemployment within the Indonesian workforce. Future Research Future research could explore the role of employer branding in various industry contexts further and include longitudinal analysis to observe changes in Generation Z’s preferences for employment. http://www.informingscience.org/Publications/5518 employer branding e-recruitment intention to apply Gen Z state-owned enterprises eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-06-28 28 5556 article Dan Bouhnik bouhnik@jct.ac.il Ron Keinan ronke21@gmail.com Efraim A Margalit efraimefraim@hotmail.com Aim/Purpose This study examines how the COVID-19 pandemic influenced the use of health-centered Online Social Networks (OSNs), specifically analyzing user activity trends on Camoni, Israel’s leading health-centered OSN. The research addresses the growing role of OSNs in providing medical information and emotional support during public health crises. Background The COVID-19 pandemic significantly altered healthcare access, encouraging individuals to seek medical information and support online. OSNs have emerged as critical platforms for facilitating peer support, knowledge exchange, and community engagement in health-related discussions. Methodology A comprehensive 12-year dataset of Camoni’s user activity was constructed to assess changes in participation over time. A large-scale (more than 400k posts) quantitative analysis was performed to identify trends and measure the impact of the pandemic on different user demographics (age, gender) and community activity levels (medical staff, patients, and their families). Contribution This study enhances understanding of how health-centered OSNs evolve during crises, highlighting demographic shifts in engagement and the increased reliance on online mental health resources. It provides empirical evidence of the pandemic’s role in accelerating digital health adoption. Findings User engagement in Camoni increased significantly during the pandemic, particularly in mental health-related communities (more than 30% increase). The depression and anxiety community exhibited the highest activity levels. Men and younger individuals showed a notable rise in participation (nearly matching the levels of women and older adults). Users personally dealing with mental health challenges were the most active contributors (in several posts and comments). Recommendations For Practitioners Healthcare providers and policymakers should recognize OSNs as essential tools for patient education, mental health support, and crisis intervention. Integrating OSNs into public health strategies can enhance accessibility to mental health resources. Recommendations For Researchers Future studies should explore the long-term impact of the pandemic on OSN engagement, the effectiveness of online peer support in improving mental health outcomes, and cross-platform comparisons to identify universal trends in digital health communities. Impact on Society The study underscores the increasing responsibility individuals take for their health, particularly in mental health management. It also emphasizes the role of OSNs in mitigating social isolation and enhancing digital health literacy during global crises. Future Research Further research should investigate post-pandemic trends in OSN engagement, the role of artificial intelligence in moderating online health discussions, and the potential for OSNs to complement traditional healthcare services. http://www.informingscience.org/Publications/5556 data mining online social networks mental health digital health communities COVID-19 public health crisis eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-07-11 28 5545 article Paulina Larocca paulina.larocca@UTS.edu.au Aim/Purpose This paper addresses the need for more holistic informing frameworks that bridge cognitive-centric approaches with embodied, relational, and imaginative modes of knowledge transfer, especially within complex transdisciplinary contexts where conventional informing processes often fail to facilitate deep understanding. Background Current Informing Science frameworks primarily focus on cognitive processing and linear data flow, leaving significant gaps in understanding how knowledge can be effectively transferred through non-cognitive pathways. This paper extends Informing Science by integrating diverse epistemologies, including non-Western and phenomenological perspectives, into a cohesive visual model. Methodology Using practice-led research methodology, this study developed and tested the Transdisciplinary Informing Model (TIM) through the creation and implementation of an immersive sensory experience (Fractals of Nature). Approximately 150 participants, including art students, alumni, community members, and change-makers, engaged with three sensory stations, generating creative artifacts that were analyzed for evidence of relational knowledge creation. Contribution This paper contributes to Informing Science by visualizing and operationalizing Montuori’s principles of transdisciplinary inquiry and extending Cohen’s three-environment model to include embodied, sensory, and imaginative dimensions of knowledge transfer. The hexagonal model structure illustrates previously unseen interdependencies between principles, creating a practical framework for cross-epistemological synthesis. Findings Evidence from the Fractals of Nature case study demonstrates that TIM effectively facilitates: (1) relational knowledge creation that bridges individual perspectives with ecological awareness; (2) cross-paradigmatic synthesis across scientific, cultural, and imaginative domains; and (3) embodied knowledge processing through multisensory engagement, enabling deeper, more integrated understanding than cognitive processing alone. Recommendations for Practitioners Practitioners should consider incorporating sensory, relational, and imaginative elements into informing processes, particularly in educational, organizational, and sustainability contexts where complex, systemic understanding is essential. TIM provides a structured yet flexible framework for designing transdisciplinary experiences that engage multiple ways of knowing. Recommendations for Researchers Future research should explore TIM’s applications across diverse cultural contexts, develop metrics for evaluating its impact on knowledge transfer, and investigate the long-term effects of embodied informing approaches. Researchers should also consider combining TIM with other informing frameworks to create hybrid approaches that leverage multiple models’ strengths. Impact on Society TIM’s approach to knowledge transfer has significant implications for addressing complex societal challenges that require integrated understanding across disciplines, cultures, and knowledge systems. By fostering embodied, relational understanding of interconnectedness, TIM could enhance public engagement with systemic issues like climate change, social inequality, and technological transformation. The framework’s emphasis on ethical relationality provides a foundation for more inclusive decision-making processes that honor diverse epistemologies, potentially contributing to more equitable and sustainable social systems that bridge intellectual understanding with embodied, collective wisdom. Future Research Building on this paper’s findings, future research should: (1) investigate TIM’s effectiveness in digital and virtual environments where sensory engagement takes different forms; (2) explore applications in cross-cultural collaborations where diverse epistemologies must be bridged; (3) develop quantitative and qualitative metrics to assess the depth and retention of knowledge gained through embodied informing processes; (4) examine how TIM might enhance informing processes in complex fields like healthcare, environmental management, and technology ethics where siloed knowledge creates barriers to holistic understanding; and (5) investigate the relationship between embodied informing and behavior change, particularly in sustainability contexts where knowledge alone often fails to motivate action. http://www.informingscience.org/Publications/5545 Informing Science transdisciplinary inquiry embodied knowledge sensory engagement relational epistemology knowledge transfer systems thinking creative synthesis hexagonal model practice-led research eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-07-11 28 5596 article Delali Kwasi Dake dkdake@uew.edu.gh Esther Gyimah egyimah@uew.edu.gh Aim/Purpose Technology adoption and utilization in educational institutions have increased since the pandemic. Recently, the learning management system has become crucial in the educational sector, enabling the efficient execution of online learning. In this study, we performed clustering on group learners to understand students’ concerns with the mobile Learning Management System (m-LMS) based on the clusters. Furthermore, we employed classification using the technology acceptance model to evaluate the correlation among factors necessitating the acceptance and use of m-LMS. Background Mobile learning (m-learning) is a prevalent method of education where educational content is accessed on the go via mobile devices such as smartphones and tablets. The acceptance and deployment of mobile learning in higher education institutions has become essential in Education 4.0, a reskilling approach associated with Industry 4.0. Since the pandemic, mobile learning management systems have seen increased usage among educational institutions. Methodology The study modified the standard data mining and knowledge discovery methodology. This study’s data set includes 446 students from the University of Education, Winneba, Ghana. The K-means algorithm was implemented to determine the number of clusters from the dataset according to the features. Subsequently, we employed a Pearson correlation coefficient heatmap to ascertain the predictability of perceived ease of use, perceived usefulness, attitude towards using, and actual system use of the features via the technology acceptance model. Then, a classifier was built by comparing five classification algorithms. Contribution A novel study on the application of a machine learning algorithm for a mobile learning management system dataset in Ghana. Implementing K-means, heatmap, and feature selection to understand learners’ concerns while using m-LMS in Ghana. Findings The findings indicate that Cluster 1 members disagree with the benefits of using m-LMS. The disagreement cuts across all the investigated variables: perceived usefulness, perceived ease of use, attitude toward using, and actual use. Cluster 2 members agree strongly with the benefits of using m-LMS across all the investigated variables. Cluster 0, with the highest number of members, moderately agrees with the benefits of using m-LMS. In addition, a strong correlation exists between perceived ease of use, perceived usefulness, and attitude towards using. Furthermore, the attitude towards using was predicted by perceived usefulness. However, there was an unreliable relationship between attitude towards using and actual system use. Recommendations for Practitioners Cluster segmentation of students using m-LMS facilitates the formulation of an implementation policy, enabling educational authorities to address the issues contributing to student dissatisfaction with m-LMS. Furthermore, the results imply that, even though students desire to use a mobile learning management system, they are not using it. It means there are challenges surrounding using the mobile learning management system at the University of Education, Winneba. Recommendations for Researchers The use of K-means, elbow function, and correlation heatmap in the technology acceptance model for variable correlation test reveals detailed predictability patterns that necessitate a new research direction using machine learning. Impact on Society Stakeholders in education should embrace and support machine learning implementation in the educational sector to reveal data patterns for improved teaching and learning. Future Research Subsequent research will broaden the data on mobile learning management systems to include the majority of tertiary institutions in Ghana. The data will be indicative, allowing for the generalisation of inferences regarding national policy directions on m-LMS. http://www.informingscience.org/Publications/5596 mobile learning management system machine learning technology acceptance model K-means sequential minimal optimization algorithm correlation heatmap eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-07-14 28 5598 article Uzoma Heman Ononye ononye.uz@gmail.com David Chucks Akan david.akan@dou.edu.ng Olufemi Olabode Olayemi femolayemi1@gmail.com Aim/Purpose/Background Many business organizations in Nigeria face the risk of failure due to their inadequate preparation of individuals to assume leadership following the CEO’s exit. As such, the survivability challenge may arise partly from the lack of comprehensive training and development of successors. Given this, the study aimed to examine the impact of selected succession strategies (i.e., successor involvement in management, mentoring, and leadership training) on organizational survival by accounting for the mediation of self-efficacy. Methodology This study adopted a cross-sectional research design by surveying SMEs in Nigeria with a well-structured questionnaire. We randomly collected data from 315 family-owned businesses in Lagos State and tested them using the partial least squares analytical protocols. Contribution This study adopted a quantitative approach to determine how successor involvement in management, mentoring, and leadership training affects organizational survival in an integrated research framework. Findings The study found that successor involvement in management and mentoring significantly impacted organizational survival; however, leadership training’s effect was insignificant. Furthermore, self-efficacy significantly and partially mediated the relationships among the three succession strategies and organizational survival. Recommendations for Practitioners The study recommends that firms should consider the three strategic approaches (i.e., successor involvement in management, mentoring, and leadership training) in succession planning, as they contribute to increasing self-efficacy and organizational survival. It is essential to elicit feedback periodically to determine the effectiveness of these strategies. Second, given the centrality of self-efficacy in the strategy-survival link, firms should link these strategies, which have varied effects on organizational survival, to self-efficacy development. Recommendations for Researchers To develop a more comprehensive model that organizations can use, researchers should examine alternative strategies that may be useful for maintaining consistent performance. Impact on Society A productive society is characterized by resilient business organizations that can significantly contribute to various economic parameters, even in the face of changes and challenges. This study plays a crucial role in fostering sustainable organizations by focusing on the preparedness of successors. Future Research It would be beneficial to expand this research geographically to improve the generalization of results. Second, other studies could test alternative succession strategies, given that the involvement of successors in management, mentoring, and leadership training moderately accounted for variations in organizational survival. Third, this study only examined the mediating role of self-efficacy; research has shown that there are other related psychological constructs (e.g., resilience, hope, and trust) of comparative value to sustaining businesses. http://www.informingscience.org/Publications/5598 Mentoring self-efficacy succession successor involvement training firm survival family business Nigeria eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-08-27 28 5603 article Basil Alzougool b.alzougool@gmail.com Sumayya Banna sumayya@aou.edu.kw Aim/Purpose This study explored public perceptions of the smart city concept in Kuwait and assessed their understanding of its features and dimensions. Background Over the past decade, the notion of “smart cities” has gained significant traction, with numerous urban areas eager to embrace this digital evolution. For a city to transition into a smart city, it must develop a service strategy that places the public as the primary beneficiary of the smart city services. Methodology The study employed the Smart City Wheel model, encompassing six key dimensions of a smart city: governance, mobility, people, economy, living, and environment. The ‘smartness’ of a city is assessed based on the level of advancement in these six key dimensions. To achieve the study’s objectives, 434 individuals were surveyed quantitatively. Contribution Existing studies highlight growing awareness of smart cities and the impact of visibility and demographics but often lack analysis of public perceptions of specific technologies. This study bridges that gap by examining public awareness and perceptions of Smart Cities in Kuwait. Findings The results revealed that just under half of the participants had some understanding of Smart Cities, reflecting moderate community awareness. More than a third of those aware believe their city is working towards becoming smart. However, over half of the respondents are unaware of the concept, indicating a significant knowledge gap. Among the unaware, more than a quarter think local authorities have made efforts to inform the public. Despite this, over three-quarters are interested in learning about Smart Cities, and two-thirds want to engage in city development decisions through digital platforms, demonstrating a potential for public involvement in smart city initiatives. Respondents strongly associate the six key dimensions with the Smart City concept, ranking their importance as follows: smart governance, smart mobility, smart environment, smart living, smart economy, and smart people. The most frequent activities were observed in smart people, smart economy, and smart living. Improvement needs are diverse, with frequent calls for enhancement in smart environment, smart living, and smart mobility. The results also reveal notable variations in the perceived importance of the dimensions and their correlations with the Smart City concept based on employment status, age, and education. Future Research Future research should explore alternative models and dimensions to provide a more comprehensive understanding of smart cities. To enhance the generalizability of the findings, a larger-scale survey conducted over a more comprehensive geographical range would be beneficial. http://www.informingscience.org/Publications/5603 perceptions smart cities sustainability civic engagement stakeholders smart economy smart mobility smart people smart governance smart living smart environment Kuwait eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-09-29 28 5620 article Alma S Espartinez alma.espartinez@benilde.edu.ph Jesuraj Croos Adaikkalam roxencroos11@gmail.com Aim/Purpose This study aims to explore the dynamics of interreligious dialogue (IRD) among Buddhist, Hindu, Muslim, and Christian leaders in Sri Lanka and the Philippines using Ludwig Wittgenstein’s concepts of language games and rule-following. It seeks to: (1) analyze how religious traditions function as distinct yet overlapping language games; (2) identify barriers to effective IRD (e.g., political exploitation, historical grievances); and (3) develop context-sensitive strategies to foster interreligious harmony in pluralistic societies. Background Asia’s religious diversity presents opportunities for enrichment but also challenges due to linguistic, cultural, and doctrinal differences. Colonial legacies and nationalist projects have exacerbated tensions, transforming religious identities into political markers. Existing IRD models often overlook micro-linguistic barriers, assuming religious concepts are universally translatable. Wittgenstein’s philosophy offers a framework to address these gaps by emphasizing contextual meaning and communal practices over abstract definitions. Methodology The study employed a qualitative narrative inquiry design, engaging 18 religious leaders (10 from Sri Lanka and 8 from the Philippines) representing Buddhism, Hinduism, Islam, and Christianity. Data were collected through in-depth interviews, conducted both face-to-face and virtually, and analyzed using thematic coding with a Wittgensteinian framework. Ethical considerations included obtaining informed consent, ensuring confidentiality through coded identifiers, and conducting member checking to validate findings. Contribution This study makes four key contributions. Theoretically, it pioneers the application of Wittgenstein’s language games to Asian interreligious dialogue, showing how terms like dharma and jihad gain meaning through specific cultural contexts. Methodologically, it innovatively blends narrative inquiry with linguistic analysis to document real-world interfaith encounters. Practically, it offers concrete solutions for peacebuilding, such as creating hybrid terms like “peace guardians” that respect different traditions while fostering mutual understanding. It contributes to the Informing Science discipline by framing interreligious dialogue as an informing process, demonstrating that effective dialogue – like effective informing – requires linguistic humility and shared practices to bridge gaps across communities. Findings Common Ground: Shared ethical values (justice, peace) exist across traditions but are expressed through distinct language games. Misunderstandings: Decontextualized terms (e.g., jihad as “holy war”) fuel conflict; political manipulation and historical grievances persist. Future Aspirations: Leaders emphasize mutual respect, youth education, and structured dialogue to counter extremism. Recommendations for Practitioners Linguistic Mapping: Train facilitators to analyze religious terms within their native contexts. Hybrid Practices: Develop shared rituals (e.g., interfaith community projects) to foster organic understanding. Power Balancing: Ensure minority voices are included in dialogue structures. Recommendations for Researchers Expand studies to digital platforms and longitudinal designs. Compare IRD dynamics across Asian contexts (e.g., Sri Lanka vs. Indonesia). Include marginalized voices (women, youth) in future research. Impact on Society The study highlights how grassroots initiatives (e.g., Mindanao’s peace guardians) can decolonize IRD and build sustainable harmony. By reframing dialogue as shared practice rather than doctrinal debate, it offers pathways to reduce polarization in pluralistic societies. Future Research Explore AI and social media’s role in shaping interreligious dynamics. Investigate meta-language games for irreconcilable doctrinal differences. Examine the long-term efficacy of hybrid language games in conflict resolution. http://www.informingscience.org/Publications/5620 Wittgenstein interreligious dialogue narrative inquiry Sri Lanka Philippines historical tensions language games rule-following eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-10-12 28 5544 article David Kumije kumijedavid34@gmail.com Emmanuel Adejoh adejohattajah@gmail.com Olukemi M Olumorin olumorinkemi@gmail.com Rosemary Nneoma Barnabas rosemarybarnabas22@gmail.com Hannah E Agbaji agbajihannah1@gmail.com Aim/Purpose The study aims to critically examine the commonly held belief that role conflict always hampers administrative performance. It seeks to uncover how role conflict can, under certain conditions, enhance efficiency and foster organizational adaptability. Background Traditional management theories portray role conflict as a negative force causing stress and inefficiency. However, recent empirical research suggests that role conflict can stimulate growth, innovation, and better decision-making when well-managed. Methodology The paper systematically reviews multiple theoretical frameworks, including Role Theory, Person-Environment Fit Theory, Organizational Theory, and the JD-R model. By synthesizing these perspectives, it deconstructs simplistic assumptions about the negative impacts of role conflict. Contribution This study offers a nuanced understanding of the relationship between administrative performance and role conflict, moving beyond outdated views. It provides evidence-based insights into how role conflict can be harnessed positively within organizations. Findings The research finds that role conflict does not inherently reduce performance and can enhance administrative efficiency under the right circumstances. Administrators who effectively navigate conflicting responsibilities can drive innovation and adaptability within their organizations. Recommendations for Practitioners Practitioners should shift from avoiding role conflict to learning how to manage and leverage it for organizational improvement. They are encouraged to create environments that support adaptive leadership and embrace role complexity. Recommendations for Researchers Future research should explore the specific conditions and organizational contexts where role conflict becomes a constructive force. Researchers are also advised to develop models and tools that help quantify the positive impacts of managed role conflict. Impact on Society By reframing role conflict as a potential strength, this study supports more resilient and innovative organizations, ultimately benefiting societal governance and service delivery. It encourages a cultural shift toward embracing complexity in leadership, which can enhance institutional adaptability in the face of change. Future Research Future research should empirically test when role conflict improves administrative performance across various contexts. It should also develop practical tools or frameworks to help organizations manage role conflict effectively for positive outcomes. http://www.informingscience.org/Publications/5544 administrative performance role ambiguity role conflict myth and realities eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-10-27 28 5632 article Shan-Yan Huang deant0927@gmail.com Yu-Chen Yeh shane921tw11@gmail.com Yu Yun Pan camila2606@gmail.com Aim/Purpose This study aims to explore the relationships among the negative effects of social media, academic pressure, and academic procrastination among college students. Background While social media facilitates interpersonal interaction, excessive use has been associated with distraction and psychological strain among students. Prior studies suggest that frequent social media engagement may reduce learning motivation, increase academic pressure, and be associated with procrastination. Methodology Grounded in stress-coping theory, this study employs structural equation modeling (SEM) to examine the interplay among the key variables. A total of 500 questionnaires were distributed across different academic years in college, with 456 valid responses used for analysis. Contribution This research offers a theoretical and empirical framework for examining the associations between social media use, academic behaviors, and psychological well-being. Findings The findings reveal that the negative effects of social media are significantly associated with higher academic pressure, which in turn is related to academic procrastination. Additionally, the negative impact of social media also shows a direct association with procrastination. Recommendations for Practitioners Educational interventions and awareness programs that address social media use and academic pressure may support students in managing procrastination behaviors. Recommendations for Researchers Future research could benefit from examining procrastination through cross-cultural lenses and assessing the long-term effects of digital distractions across diverse educational settings. Moreover, longitudinal studies are encouraged to track changes in social media usage patterns and their ongoing impact on academic outcomes over time. Impact on Society The findings underscore the relevance of digital exposure for student mental health and academic performance, suggesting the importance of promoting balanced technology use in educational contexts. Future Research Future research should investigate cultural variations in procrastination behaviors and examine the longitudinal effects of digital distractions on academic performance, particularly within the context of post-pandemic educational environments. http://www.informingscience.org/Publications/5632 social media negative effects academic pressure academic procrastination eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-10-27 28 5624 article Ferdinando Toscano ferdinando.toscano@unicampania.it Simone Donati simone.donati@unibo.it Salvatore Zappalà salvatore.zappala@unibo.it Aim/Purpose This paper critically examines how remote and hybrid work, though widely celebrated for increasing flexibility and sustainability, can reproduce or exacerbate structural, organizational, and psychological inequalities among employees. Background While remote work is often associated with positive outcomes, mainstream discussions underrepresent the disparities it can generate. This paper addresses this gap by applying a Critical Work and Organizational Psychology (CWOP) perspective to analyze inequities across access, control, and well-being. Methodology This is a concept-driven critical review. The selection of literature prioritized theoretical depth and relevance rather than exhaustive coverage. The analysis is interpretative and interdisciplinary, informed by work psychology, organizational studies, and labor sociology. Contribution The paper introduces a multidimensional critique of remote work, offering theoretical insights and practical recommendations to promote equity in remote and hybrid work environments. Findings Remote work access is stratified by job level, socioeconomic status, and digital infrastructure. Organizational control, biased monitoring, and visibility bias reinforce hierarchies. Individual disparities, such as psychological capital, caregiving burdens, and digital competence, further marginalize certain groups. Recommendations for Practitioners Organizations should adopt role-based eligibility, provide equitable resources, use outcome-based evaluations, and support caregivers and mental health needs. Recommendations for Researchers Future studies should assess the long-term impact of remote work on marginalized groups and examine how emerging technologies affect workplace equity. Impact on Society The findings highlight the risk that remote work may deepen societal inequalities if equity is not a central design goal. Future Research Research should explore intersectional impacts and the ethical integration of AI and digital tools in remote work. http://www.informingscience.org/Publications/5624 remote work hybrid work work from home workplace inequalities critical work psychology eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-10-29 28 5637 article Md Afsar afsarjournalist@gmail.com Aim/Purpose In the past few years, news media organizations have been restructured by the progress in technology in many nations across the globe. This progress includes the utilization of artificial intelligence (AI) in news media. In India, the news media are undergoing changes with the inclusion of AI methods in various areas, such as news production and dissemination. Therefore, it becomes significant to study the impact of AI on news media in India. Background In this paper, the aim is to present a comprehensive survey of research done related to the usage as well as the impact of AI on Indian news media. The study aims to gather knowledge about the impact of AI on the transformation of news media practices in TV, print, and digital news media in our country. Methodology The narrative review methodology has been adopted in the research to conduct the literature review. Contribution The proposed work contributes to giving a comprehensive understanding of the impact of AI in Indian News media. Findings There has not been any comprehensive research related to the impact of AI on news media personnel in India. There is no study comprising the professional and economic impact of AI on news media personnel, such as reporters, producers, anchors, and owners of news media organizations. There has been no study about the perception of AI usage in Indian news media. Also, no study has been done on how AI can be used to enhance customer experience in news media in India. Recommendations for Researchers The proposed work aims to assist media students and researchers in conducting further research associated with the impact of AI in Indian news media based on data and analysis performed in the proposed work. Impact on Society The study can encourage the news media organizations to use AI more efficiently and help them to balance between AI and humans. Future Research As future work, comprehensive research on the impact of the usage of AI in TV, print, and digital Indian news media is proposed. This includes personal and professional experiences of news reporters, news producers, news consumers, and owners of news media organizations. http://www.informingscience.org/Publications/5637 artificial intelligence news media journalism technology eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-11-02 28 5628 article Diksha Sharma dikshasharma1128@gmail.com Dipi Talwar dipi.talwar@gmail.com Aim/Purpose The current research examines the impact of emotional regulation on job satisfaction and organizational citizenship behaviour (OCB) among nurses in selected government hospitals in Haryana. Background With the expansion of the service industry and increased competition, employees’ capacity to control their emotions has become an essential aspect of work effectiveness. In jobs like nursing that involve direct contact with patients or clients, employees are required to express emotions that project professionalism over their actual feelings. Methodology A purposive sampling method was employed to select the hospitals and study participants. The data was gathered from 200 nurses, and structural equation modelling (SEM) was used for data analysis. Contribution This research shows that emotional labour is a strong predictor of both job satisfaction and organizational citizenship behaviour among nurses. Findings The results showed that surface acting did not significantly contribute to influencing job satisfaction, while deep acting significantly boosted job satisfaction. Furthermore, surface acting had a negative effect on OCB, while deep acting significantly contributed to OCB. Job satisfaction also positively predicted OCB. The findings highlight the significance of promoting genuine emotional involvement among nurses to increase their job satisfaction and promote positive organizational behaviours. Recommendations for Practitioners The study provides practical implications for hospital managers and policy-makers to develop supportive emotional work areas that enhance employee well-being and organizational effectiveness. Recommendations for Researchers Future researchers can expand this research across multiple industries and can conduct a comparative study. Longitudinal and mixed-method designs will allow for more in-depth perspectives into emotional management and work-place behaviour. Adding other variables such as emotional intelligence, resilience, and leadership support will make future models more robust. Impact on Society The results indicate that healthcare organizations need to institute training, emotional support systems, and workplace policies that assist nurses in better regulation of emotions, thus enhancing job satisfaction and voluntary behaviour. Future Research Emotional labour can also be studied in other industries, for instance, banking institutions, lawyers and judges, bill collectors, frontline managers, the aviation industry, and call centres. http://www.informingscience.org/Publications/5628 surface acting deep acting job satisfaction organizational citizenship behaviour nurses eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-11-24 28 5641 article Mahendra Fakhri mahendrafakhri@telkomuniversity.ac.id Tatang Hartadi tatanghartadi@telkomuniversity.ac.id Dian Kurnianingrum dian_k@binus.ac.id Aim/Purpose This research aims to investigate the relationship between digital citizenship behavior and political engagement among Generation Z (Gen Z) in Indonesia, with a particular focus on their participation in online boycott movements. The study examines the factors underlying Gen Z’s consumer activism in the digital era. Background People often perceive Gen Z as being tech-savvy and socially aware, but there has been limited research on how their online actions influence their political or consumer behavior in the real world. This article fills that gap by examining how digital citizenship activity is linked to political activism and boycotting. Methodology This study employed a quantitative methodology, surveying 100 Gen Z participants in Bandung City, Indonesia, utilizing electronic questionnaires disseminated via social media and Google Forms. Data were examined utilizing Structural Equation Modeling-Partial Least Squares (SEM-PLS) to evaluate the associations of digital citizenship activity, political involvement, and boycott behavior. Contribution This research expands existing knowledge by presenting empirical evidence on the non-significance of digital citizenship activity in predicting political activism and boycott behavior, while highlighting political activism as a key predictor of boycotts among Generation Z. Findings Key findings indicate that: (1) digital citizenship behavior does not significantly affect political activism or boycott behavior; (2) political activism positively influences boycott behavior; and (3) political activism does not mediate the relationship between digital citizenship behavior and boycott behavior. Recommendations for Practitioners Marketers and governments must acknowledge that although Gen Z is digitally engaged, their political and consumer behaviors are driven more by activism and specific issues than by generic internet activity. Recommendations for Researchers Future research should investigate alternative mediators, including ethical awareness, social influence, and perceived consumer efficacy, to enhance understanding of the connections between digital behavior, activism, and consumer choices. Impact on Society The findings underscore the importance of promoting meaningful political engagement among young people, as political activism, in conjunction with digital literacy, influences their social and consumer behaviors, thereby potentially shaping the future civic and economic environments. Future Research Future research should employ larger and more diverse samples, disaggregate the dimensions of digital citizenship, and include previously unexamined factors such as peer influence and trust in institutions to enhance the understanding of Generation Z’s activism and boycott behavior. http://www.informingscience.org/Publications/5641 boycotting political activism Gen Z digital citizenship consumer behavior eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2025-12-15 28 5651 article Teresa Galanti teresa.galanti@unich.it Michela Cortini michela.cortini@unich.it Stefania Fantinelli stefania.fantinelli@uniecampus.it Veronica Giffi veronica.giffi@unich.it Morena Santoriello morena.santoriello@phd.unich.it Aim/Purpose This study explores university-to-work transitioners’ perceptions towards innovative talent attraction and selection methods, emphasizing the role of gamification. Specifically, it examines how predisposition towards gamified selection procedures mediates the relationship between positive attitude toward technology and job search self-efficacy, providing insights into how digital tools can facilitate a more efficient and empowering transition to work. Background Recruitment and selection processes have undergone a profound transformation, redefining access to the labor market and influencing talent acquisition strategies. Methodology Applying Social Cognitive Theory and Technological Acceptance Model (TAM), an empirical survey was conducted with a sample of 144 close-to-graduation students to investigate the relationships between job search self-efficacy, positive attitude towards technologies, and predisposition towards gamification in selection processes. Contribution This study contributes to understanding the evolving job search landscape, highlighting how gamification can enhance job search self-efficacy among younger generations. Findings Findings suggest that the predisposition towards gamification mediates the relationship between positive attitude toward technology and job search self-efficacy. Individuals with a positive outlook on digital technology are more likely to engage with innovative selection approaches, such as gamification, which in turn enhances their confidence in navigating the job search process. Recommendations for Practitioners These findings reinforce the challenge for organizations to integrate digital tools and gamification strategies into their selection procedures, which fosters in job candidates a shift from a positive attitude towards digital technology to practical competencies for employability. Impact on Society This underscores the importance of digital readiness in shaping employability outcomes for younger generations and their sustainable transition to work. Future Research Future studies may investigate how individual differences, such as digital readiness or prior experience, affect the impact and accessibility of gamified interventions in employment-related contexts. http://www.informingscience.org/Publications/5651 gamification job search self-efficacy digital recruitment positive attitude toward technology eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-02-03 27 .i iv 5249 article Table of Contents for Volume 27 of Informing Science: The International Journal of an Emerging Transdiscipline, 2024 http://www.informingscience.org/Publications/5249 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-02-03 27 5244 article Uzoma Heman Ononye ononye.uz@gmail.com Ikechukwu Maduemezia iykemil32@gmail.com Aim/Purpose: The truism is that leadership fosters or restricts innovation behaviours in organisations, but the extent to which it does depends on the leadership style in practice. This study focuses on one of the contemporary leadership styles, knowledge-oriented leadership [KOL], which has received scant attention in research. In doing so, the contextual factors of psychological safety [PS] and employee voice [EV] were applied to determine how KOL influences are channeled to innovation at the individual level. Methodology: Data were collected from 347 academic staff in public universities in Southern Nigeria and subjected to a partial least square [PLS] analytical procedure for data treatment and hypotheses testing using the SmartPLS 3 software for variance-based structural equation modelling. Contribution: The study formed an integrated research framework that links knowledge-oriented leadership and innovation by accounting for the contextual mechanisms of psychological safety and employee voice. Findings: The PLS results demonstrated that the knowledge-oriented leadership and innovation relationship was positive and significant, and this relationship was partially mediated by two variables, namely, PS and EV. Furthermore, the two mediating variables channeled KOL’s influence on innovation in a sequence. Recommendation for Researchers: Organisations need to consider the practical application of KOL to improve innovation outcomes considerably. By this, leadership training programs should include modules, courses, or topics on KOL to engender the formation of requisite managerial skills. More so, they should consider the criterion of demonstrable KOL abilities for leadership selection and recruitment. As a personal development initiative, managers can attend leadership development programmes as well as obtain certification in knowledge management to improve their KOL abilities. This initiative should be encouraged and supported by organisations. In all, the human resource management framework should be responsive to the dynamics of the knowledge economy regarding leadership. Given that PS and EV function as mediators, organisations should actively cultivate an environment enabling interpersonal risky behaviours founded on trust, respect, and cooperation and encourage/support employees who demonstrate such behaviour accordingly. In this line, they should create and sustain a supportive environment that positively reinforces voice decisions and behaviours. Future Research: The study only determined the links between KOL, PS, EV, and innovation in public universities in Southern Nigeria. Other studies may examine the linkages in other knowledge-intensive organisations as well as expand the geographic scope to make for better generality of findings. Future studies should look at other underlying mechanisms that can affect the KOL-innovation relationship, such as psychological capital, work engagement, work commitment, etc. The role of moderators can be identified and introduced to this integrative framework to demonstrate the conditions affecting the linkages. http://www.informingscience.org/Publications/5244 employee voice knowledge-oriented leadership knowledge sharing innovation psychological safety eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-03-02 27 5254 article Godwin Elo mychrist.eg@gmail.com Benjamin Ghansah bghansah@uew.edu.gh Ephrem Kwaku Kwaa-Aidoo ekkaidoo@uew.edu.gh Aim/Purpose: This review paper aims to unveil some underlying machine-learning classification algorithms used for political election predictions and how stack ensembles have been explored. Additionally, it examines the types of datasets available to researchers and presents the results they have achieved. Background: Predicting the outcomes of presidential elections has always been a significant aspect of political systems in numerous countries. Analysts and researchers examining political elections rely on existing datasets from various sources, including tweets, Facebook posts, and so forth to forecast future elections. However, these data sources often struggle to establish a direct correlation between voters and their voting patterns, primarily due to the manual nature of the voting process. Numerous factors influence election outcomes, including ethnicity, voter incentives, and campaign messages. The voting patterns of successors in regions of countries remain uncertain, and the reasons behind such patterns remain ambiguous. Methodology: The study examined a collection of articles obtained from Google Scholar, through search, focusing on the use of ensemble classifiers and machine learning classifiers and their application in predicting political elections through machine learning algorithms. Some specific keywords for the search include “ensemble classifier,” “political election prediction,” and “machine learning”, “stack ensemble”. Contribution: The study provides a broad and deep review of political election predictions through the use of machine learning algorithms and summarizes the major source of the dataset in the said analysis. Findings: Single classifiers have featured greatly in political election predictions, though ensemble classifiers have been used and have proven potent use in the said field is rather low. Recommendation for Researchers: The efficacy of stack classification algorithms can play a significant role in machine learning classification when modelled tactfully and is efficient in handling labelled datasets. however, runtime becomes a hindrance when the dataset grows larger with the increased number of base classifiers forming the stack. Future Research: There is the need to ensure a more comprehensive analysis, alternative data sources rather than depending largely on tweets, and explore ensemble machine learning classifiers in predicting political elections. Also, ensemble classification algorithms have indeed demonstrated superior performance when carefully chosen and combined. http://www.informingscience.org/Publications/5254 politics elections prediction machine learning classification ensemble algorithm eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-04-30 27 5281 article Sara Petrilli sara.petrilli@unicatt.it Miriam Parise miriam.parise@unicatt.it Silvio Carlo Ripamonti silvio.ripamonti@unicatt.it Silvia Donato silvia.donato@unicatt.it Aim/Purpose: This study offers an important contribution to the literature on couple social comparisons by showing how different aspects of comparisons are related to relationship quality. Background: Making social comparisons is a daily tendency of human beings that does not only occur on an individual level but also in the context of romantic relationships. This phenomenon is widespread among couples, though partners differ in terms of their propensity to make couple social comparisons. The literature has shown that all these facets of couple social comparison play an important role in relationship functioning. Methodology: In the current study of 104 young adults in a heterosexual relationship, we investigated the association of couple social comparison propensity, explicit couple social comparisons, and implicit couple social comparisons with couple relationship quality in terms of commitment and relationship satisfaction. Contribution: So far, studies have not tested all these aspects in predicting partners’ relationship quality. Findings: Results showed that commitment was negatively predicted by relationship social comparison propensity and positively predicted by implicit couple social comparisons, while relationship satisfaction was positively predicted by both implicit and explicit couple social comparisons. Recommendation for Researchers: Our results have implications for couple interventions. In preventive interventions, sustaining a positive view of one’s relationship may promote relationship satisfaction and commitment. Future Research: Future research should adopt a dyadic design to investigate cross-partner associations. http://www.informingscience.org/Publications/5281 couple social comparison propensity explicit couple social comparisons implicit couple social comparisons couple relationship quality commitment relationship satisfaction eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-06-11 27 5311 article Grandon Gill grandon@grandon.com Thomas R Gill ThomasGill@usf.edu Aim/Purpose: In this paper we propose a framework identifying many of the unintended consequences of information technology and posit that the increased complexity brought about by IT is a proximate cause for these negative effects. Background: Builds upon the three-world model that has been evolving within the informing science transdiscipline. Methodology: We separate complexity into three categories: experienced complexity, intrinsic complexity, and extrinsic complexity. With the complexity cycle in mind, we consider how increasing complexity of all three forms can lead to unintended consequences at the individual, task and system levels. Examples of these consequences are discussed at the individual level (e.g., deskilling, barriers to advancement), the task level (e.g., perpetuation of past practices), as well as broader consequences that may result from the need to function in an environment that is more extrinsically complex (e.g., erosion of predictable causality, shortened time horizons, inequality, tribalism). We conclude by reflecting on the implications of attempting to manage or limit increases of complexity. Contribution: Shows how many unintended consequences of IT could be attributed to growing complexity. Findings: We find that these three forms of complexity feed into one another resulting in a positive feedback loop that we term the Complexity Cycle. As examples, we analyze ChatGPT, blockchain and quantum computing, through the lens of the complexity cycle, speculating how experienced complexity can lead to greater intrinsic complexity in task performance through the incorporation of IT which, in turn, increases the extrinsic complexity of the economic/technological environment. Recommendations for Practitioners: Consider treating increasing task complexity as an externality that should be considered as new systems are developed and deployed. Recommendation for Researchers: Provides opportunities for empirical investigation of the proposed model. Impact on Society: Systemic risks of complexity are proposed along with some proposals regarding how they might be addressed. Future Research: Empirical investigation of the proposed model and the degree to which cognitive changes created by the proposed complexity cycle are necessarily problematic. http://www.informingscience.org/Publications/5311 complexity task complexity information technology homophily punctuated equilibrium systemic risks information overload fitness rugged landscape unintended consequences eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-06-19 27 5293 article Tommaso Camplone tommaso.camplone@studenti.univr.it Andrea Ceschi andrea.ceschi@univr.it Riccardo Sartori riccardo.sartori@univr.it Hilda Du Plooy hilda.duplooy@univr.it Evie Michailidis evie.michailidis@outlook.com Aim/Purpose: The aim of the present study is to investigate how pre-game superstition and anxiety can drive the consumption and purchase of sports products and objects by triathletes. Methodology: We tested our hypotheses via a cross-sectional study on a sample of N=124 triathletes. Contribution: The originality of our work stands in the provision of empirical evidence on the role of superstition and anxiety in characterized consumer decision-making of triathletes. Theoretically and practically, our results can extend our knowledge of the role of cognitive factors in consumer behaviors among athletes. Findings: The results of the Structural Equation Modelling provided evidence of our hypothesized relationship between pre-game anxiety and superstition, and cognitive biases. Pre-game anxiety increases the level of incidence of specific cognitive biases characterized by intuitive and implicit thinking, while superstition leads to more rational and personal cognitive biases, which affect their purchasing of sports products before games and competitions. http://www.informingscience.org/Publications/5293 superstition anxiety sports performance consumer behavior dual-system theory eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-07-09 27 5337 article Eli Cohen elibcohen@gmail.com Aim/Purpose: The paper discusses various factors contributing to disagreements, such as differing experiences, perspectives, and historical narratives, leading to disagreements within families and societies. It explores how beliefs, values, and biases feed into disagreements, with confirmation bias affecting decision-making and the media. Cultural values also play a role, showcasing conflicts between meritocracy and inclusivity in ethical decision-making. Haidt's Moral Foundations Theory highlights differences in value priorities between Western and Eastern societies. The impact of Western values like rationalism, freedom, and tolerance, under threat from Marxist illiberalism on campuses, is dis-cussed. The text also delves into disinformation, emotions in warfare, and the use of fake information and images for propaganda purposes. The need for diligent reporting to avoid spreading disinformation is emphasized, given its potential to create misconceptions and harm diplomatic relations. http://www.informingscience.org/Publications/5337 informing values disinformation soft power fake images eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-07-22 27 5339 article Basil Alzougool b.alzougool@gmail.com Aim/Purpose: This study aims to explore students’ digital entrepreneurial intention (DEI) in Kuwait. Specifically, the aim is twofold: (i) to identify and examine the factors influencing and predicting students’ DEI, and (ii) to validate a model of DEI. Background: The advent of modern digital technologies has provided entrepreneurs with many opportunities to establish and expand their firms through online platforms. Although the existing literature on DEI has explored various factors, certain factors that could be linked to DEI have been neglected, and others have not been given sufficient attention. Nonetheless, there has been little research on students’ DEI, particularly in Kuwait. Methodology: To fulfill the research’s aims, a study was conducted using a quantitative method (a survey of 305 students at a non-profit university in Kuwait). Contribution: This study aimed to fill the research gap on the limited DEI research among Kuwait’s students. Several recommendations were suggested to improve the DEI among students in Kuwait. Findings: The study identified five factors that could influence an individual’s intention to engage in digital entrepreneurship. These factors include self-perceived creativity, social media use, risk-taking and opportunity recognition, digital entrepreneurship knowledge, and entrepreneurial self-perceived confidence. Significant solid correlations were between all five identified factors and DEI. However, only self-perceived creativity and entrepreneurial self-perceived confidence were identified as significant positive predictors of DEI among undergraduates in Kuwait. Nevertheless, the main contributor to this intention was the students’ self-perceived confidence as entrepreneurs. Recommendation for Researchers: Researchers should conduct further longitudinal studies to understand better the dynamic nature of DEI and execution. Future Research: Additional research is required to utilize probability sampling approaches and increase the sample size for more generalizable findings. http://www.informingscience.org/Publications/5339 digital entrepreneurship intention self-perceived confidence creativity Kuwait eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-08-26 27 5342 article Valentina Dolce valentina.dolce@univ-lyon2.fr Marco De Angelis marco.deangelis6@unibo.it Ferdinando Toscano ferdinando.toscano@unibo.it Andrea Caputo andrea.caputo@unito.it Aim/Purpose: The rise of virtual communication technologies and hybrid work contexts has brought significant changes to leadership dynamics, highlighting the need for effective management of teams operating in both face-to-face and virtual settings, known as hybrid teams. Background: This systematic review examines leadership models utilized in face-to-face and virtual teams, factors contributing to leadership emergence in these contexts, and effective strategies for leading hybrid teams. Methodology: In this study, three scientific databases were searched, resulting in the retrieval of 1,707 studies. These studies were then subjected to a review process following the PRISMA guidelines, ultimately leading to the inclusion of 15 research contributions in the final review. Contribution: Given the results, key strategies for practitioners include the development of strong communication skills, providing constructive feedback, and implementing efficient remote management techniques. Findings: The findings emphasize three prominent leadership models – transformational leadership, leader-member exchange (LMX), and shared leadership – all of which play crucial roles in hybrid team settings. Personality factors drive leadership emergence in face-to-face settings, while virtual settings benefit more from task-related behaviors. Recommendation for Researchers: This review informs researchers seeking to enhance leadership efficacy in modern group settings, aiding leaders in navigating the complexities of hybrid team environments. http://www.informingscience.org/Publications/5342 leadership face-to-face teams virtual teams hybrid teams systematic review eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-09-02 27 5363 article Grandon Gill grandon@grandon.com Thomas R Gill ThomasGill@usf.edu Aim/Purpose: To provide a systematic approach to defining task complexity using a three worlds model previously introduced in informing science research. Background: The task complexity construct presents researchers with a quandary. While it appears useful on the surface, repeated attempts to define it rigorously have failed to gain traction in the broader research community. The level of inconsistency between definitions is shown to have changed little in the past 20 years. Methodology: Using a common framework that treats task complexity as a latent construct residing between sources and outcomes, moderated by both task familiarity and task discretion, separate models for each of the three worlds are developed. Contribution: Our paper proposes a potential path forward by showing how many issues in past task complexity research can be reconciled by framing the construct according to the three worlds model: the world we experience, the world of human artifacts, and the “real world.” Findings: The framework defines experienced complexity as occurring in the mind of the task performer while performing a single task instance, intrinsic complexity as a function of the internal characteristics of the problem space used to perform a bounded set of task instances, and extrinsic complexity as the ruggedness of the fitness landscape in which the task is performed. Recommendation for Researchers: It offers a path to convergence for definitions of task complexity. Future Research: The three worlds of task complexity can potentially be applied to many practical problems. http://www.informingscience.org/Publications/5363 task complexity rugged landscape objective complexity familiarity discretion eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-09-20 27 5376 article Jesudhas Yogarajah jesudhasyogarajah@my.unt.edu Victor R. Prybutok prybutok@unt.edu Gayle Prybutok Gayle.Prybutok@unt.edu Aim/Purpose: This paper applies informing science principles to analyze the evolution of United States (U.S.) healthcare delivery, exploring how policy shifts, technological advancements, and changing practices have transformed informing processes within this complex system. By examining healthcare delivery through a transdisciplinary lens, we aim to enhance the understanding of intricate informing environments and their dynamics. Background: The U.S. healthcare system epitomizes a complex, evolving transdisciplinary domain intersecting information systems, policy, economics, and public health. Recent transformations in stakeholder information flow necessitate an informing science perspective to comprehend these changes fully. Methodology: We synthesize literature on U.S. healthcare delivery changes, employing informing science frameworks such as Cohen’s “informing environment” concept to analyze the evolution of healthcare informing processes. Contribution: This study expands informing science theory by examining how changes in a complex transdisciplinary system impact information flow, decision-making, and stakeholder interactions. The results provide insights into challenges and opportunities within evolving informing environments. Findings: Our analysis reveals significant alterations in the U.S. healthcare informing landscape due to policy, regulatory, and technological changes. We identify key transformations in client-sender-delivery system relationships, shifts in information asymmetry, and the emergence of novel informing channels and barriers. Recommendation for Researchers: Future studies should develop informing science models capable of capturing the complexity and dynamism of healthcare delivery systems, particularly amidst rapid technological and policy changes. Future Research: Further investigation is needed into how emerging technologies reshape healthcare informing processes and their impact on care quality, accessibility, and cost-effectiveness. http://www.informingscience.org/Publications/5376 healthcare delivery informing science transdisciplinary systems health healthcare information flow healthcare policy technological innovation eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-10-20 27 5383 article Teresa Galanti teresa.galanti@unich.it Stefania Fantinelli stefania.fantinelli@uniecampus.it Veronica Giffi veronica.giffi@unich.it Michela Cortini cortini@unich.it Aim/Purpose: With a focus on promoting sustainable career paths, this article investigates the intricate relationship between age diversity management and techno-complexity, emphasizing the pivotal role of a supportive work environment. Background: In the modern workplace, the dynamics of age diversity emerge as a crucial element influencing the well-being and productivity of employees, particularly amidst the swiftly evolving digital landscape. This becomes especially pertinent when considering workers’ unique challenges adapting to technological advancements. Methodology: Utilizing a cross-sectional design, data were collected from 160 employees in an Italian multinational company within the metalworking sector. Contribution: This study provides valuable insights into the complex dynamics between the aging climate, colleagues’ support, and techno-complexity. It emphasized the importance of considering the direct effects of organizational factors and their in-direct influences through social dynamics and support structures within the workplace. Findings: The results revealed the mediating role of colleagues’ support in the relationship between the aging climate and techno-complexity. These findings highlight the importance of a supportive work environment in the context of sustainable career development, contributing to a comprehensive understanding of diversity management within the modern digital era. Recommendation for Researchers: Our results open to a series of implications and future directions. First, the unexpected finding regarding the direct relationship between the aging climate and technostress calls for a deeper exploration of the intricacies involved. Future studies could delve into specific organizational contexts, technological demands, and individual differences that may modulate this relationship. Future Research: Future studies could delve into specific organizational contexts, technological demands, and individual differences that may modulate this relationship. http://www.informingscience.org/Publications/5383 age diversity management techno-complexity supportive work environment sustainable career eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-11-11 27 5388 article Nicole A. Buzzetto-Hollywood nabuzzetto-more@umes.edu Troy Banks tvbanks@salisbury.edu Austin J. Hill haus1088@gmail.com Aim/Purpose: The aim of this paper is to examine Gen Z students located in a representative region of the United States when it comes to technology use, news and information gathering behaviors, civic engagement, and social concerns and whether differences exist based on institutional type. The purpose is to report this information so that academics can better understand the behaviors, priorities, and interests of current American students. Background: This paper investigates the mindset of Generation Z students living in the United States during a period of heightened civic unrest. Through the lens of the Theory of Generations, Uses and Gratifications Theory, and Intersectional Theory, this study aims to examine the Gen Z group and compare findings across populations. Methodology: An electronic survey was administered to students from 2019 through 2022. The survey included a combination of multiple responses, Likert scaled, dichotomous, open-ended, and ordinal questions. It was developed in the Survey Monkey system and reviewed by content and methodological experts to examine bias, vagueness, or potential semantic problems. The survey was pilot-tested in 2018 before implementation in order to explore the efficacy of the research methodology. It was then modified accordingly before widespread distribution to potential participants. The surveys were administered to students enrolled in classes taught by the authors, all of whom are educators. Participation was voluntary, optional, and anonymous. Contribution: This paper provides insight into the mindset of Generation Z students living in the United States, which is helpful to members of academia who should be informed about the current generation of students in higher education. Studying Generation Z helps us understand the future and can provide insight into the shifting needs and expectations of society. Findings: According to the findings, Gen Z are heavy users of digital technologies who use social media as their primary source for gathering news about current events as well as information for schoolwork. The majority of respondents considered themselves to be social activists. When institutional type was considered, there were notable differences with the students at the Historically Black College or University (HBCU), noting the greatest concern with a number of pressing issues, including racial justice/Black Lives Matter, women’s rights, gun violence, immigration reform, and human trafficking. Less significance across groups was found when LGBTQIA+ rights and climate change were considered. Recommendation for Researchers: As social media continues to proliferate in daily life and become a vital means of news and information gathering, additional studies such as the one presented here are needed. In other countries facing similarly turbulent times, measuring student interest, awareness, and engagement is highly informative. Future Research: Future research will explore the role that influencers have in opinion formation and the information-gathering habits of Gen Z. http://www.informingscience.org/Publications/5388 Generation Z Gen Z civic engagement and college students minority learners HBCU information gathering of college students information literacy learning preferences issues important to Gen Z social activism Black Lives Matter pandemic learners online activism eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-11-21 27 5390 article Amalia De Leo amalia.deleo@unicatt.it Andrea Ceschi andrea.ceschi@univr.it Martina Mutti martina.mutti@unicatt.it Aim/Purpose: The aim of the study is to explore the experience of cultural mediators in working with operators of reception and mental health care systems for forced migrants. Specifically, the study seeks to address strengths and weaknesses and areas for improvement in the service network. Background: Cultural mediation in Italy has developed as a response to the increasing cultural diversity within reception and healthcare systems, driven by significant migration flows. Nonetheless, the lack of inter-institutional relationships and standardized procedures hamper the effectiveness of cultural mediators in supporting forced migrants within the network of psycho-social services. Methodology: The study implemented a qualitative approach by conducting semi-structured interviews with 14 cultural mediators. The interviews aimed to understand the experience of cultural mediators in working in the network of services that support forced migrants. Cultural mediators with different work experiences and cultural backgrounds were selected through convenience sampling. Contribution: This study adds to the literature the direct experience and perceptions of cultural mediators as regards their work with reception and mental health system operators and the collaboration between these stakeholders, highlighting the central role offered by cultural mediators in fostering such collaboration. Findings: The study revealed both the strengths and weaknesses of collaboration between forced migrant reception and mental health services, highlighting the key role of cultural mediators in bridging gaps between different services. It also provides suggestions on how to improve collaboration between different stakeholders. Recommendation for Researchers: Future research should investigate how efficient communication and resource location between psycho-social operators that support forced migrants could impact the work of cultural mediators and the quality of support provided to forced migrants. Future Research: Future studies should focus on evaluating the long-term effects of implementing the recommendations for improving service networks and understanding the impact of policy changes on the role of cultural mediators. http://www.informingscience.org/Publications/5390 cultural mediators forced migrants Italian reception system mental health services inter-organizational networks eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-12-01 27 5397 article Pallavi Negi pallavinegi.ubs@gmail.com Monica Bedi monica@pu.ac.in Aim/Purpose: Despite the widespread presence of fake news on the internet, many individuals continue to share information without verifying its accuracy. In response, this study examined two types of news-sharing behaviors, Unverified News Sharing and Authenticating News Before Sharing, and their influence on the spread of fake news on social media. Fake news awareness was also incorporated into the paper as a moderating factor. Background: The proposed conceptual model illustrates how an individual’s general approach to news sharing can predict the behavior of fake news sharing. The model was further expanded to include the construct of fake news awareness to understand how it moderates the behavioral intention to share fake news. Methodology: A survey method was employed to collect data from 450 respondents in India and to test the conceptual model. Structural equation modeling was employed. Contribution: It contributes by developing a framework to examine the multifaceted nature of news-sharing behavior and its role in the dissemination of false information on social media. The study expands on the fake news literature and offers practical recommendations for policymakers aiming to reduce the spread of fake news on social media. Findings: The findings revealed that unverified news sharing is a strong predictor of fake news dissemination while authenticating news before sharing reduces fake news sharing. Moreover, fake news awareness was found to weaken the link between unverified news sharing and fake news distribution. Recommendation for Researchers: It is recommended that researchers investigate how different cultures, regions, or countries respond to fake news, including variations in awareness, susceptibility, and methods of combating it. Researchers could also explore the psychological factors that make individuals more susceptible to fake news and the role of fact-checking and algorithm changes in improving user awareness of fake news. Future Research: Integrating moderating variables like demographic factors and conducting longitudinal studies will strengthen the model’s reliability and adaptability, providing a more detailed insight into news-sharing behavior. http://www.informingscience.org/Publications/5397 social media fake news awareness verified news authenticating news eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2024-12-07 27 5400 article Anna A Lebedinets explinguistics@gmail.com Haruka Kagata kagata122@gmail.com Alina Samokhina linasamokha@gmail.com Aleksandra Mazalova evgmazaale@gmail.com Evgenii Chugreyev chugreevea@gmail.com Aim/Purpose: The purpose of this study is to investigate the effectiveness of a specialized instructional approach that combines empathic listening and culturally nuanced communication skills to enhance students’ preparedness for real-life cross-cultural interactions. By incorporating both psychological and specific sociocultural components within the 4C/ID model framework, this study aims to address the gaps in traditional communicative language teaching, which often emphasizes linguistic competence but lacks focus on the deeper cultural, psychological, and sociological dimensions essential for meaningful communication in diverse cultural contexts. Specifically, this study seeks to determine whether this integrated approach can improve communicative competence, bridge performance gaps between high- and low-achievers, and support the development of culturally adaptive communication skills among language learners. Background: While communicative language teaching approaches have significantly improved students’ readiness for real-life interactions, traditional methods often fail to prepare learners for the complexities of cross-cultural communication. These approaches typically emphasize linguistic competence and practical conversation skills but rarely incorporate deeper communicative competencies rooted in cross-cultural psychology, sociology, ethnography, or cultural studies. As a result, students may be able to use the language fluently yet lack the awareness of sociocultural behaviors, non-verbal cues, and context-specific communication strategies essential for meaningful cross-cultural exchanges. This study addresses these limitations by implementing a specialized training program based on the 4C/ID model, designed to integrate empathic listening and culturally nuanced communication skills, divided into psychological and specific sociocultural components. This provides a more comprehensive approach to preparing students for authentic intercultural interactions. Methodology: Experimental comparison of the effect sizes of a conventional language teaching methodology (the control group) and a 4C/ID model for communication teaching (the experimental group). Twenty-seven adults (25 females, 2 males, age range 18-36, mean age = 21.3) were randomly divided into control and experimental groups. They underwent cognitive testing before the learning period. The analysis showed no statistically significant differences in the groups’ results (Mann-Whitney U test). The students were taught Japanese using two methodologies for nine months. The experimental group had 4C/ID communication training, while the control group had conventional tasks. To assess language skills, written and oral tests were employed. The assessment of subjects’ oral skills was a blind test performed by a native speaker. Contribution: This paper contributes to the field of language education by advancing a comprehensive approach to teaching communicative competence that goes beyond traditional linguistic training. It introduces an instructional model that integrates empathic listening with culturally specific skills, combining insights from cross-cultural psychology, sociology, and ethnography within the framework of the 4C/ID model. Findings: - The ability to maintain dialogue is improved by the awareness of extralinguistic phenomena pertaining to a given speech community. - The systematic approach to communication teaching decreases the gap between low-achievers and high-achievers. - Special communication training affects the oral exam results but not the written exam. Recommendation for Researchers: To enhance the clarity and accuracy of research findings, it is advisable to differentiate between the pure linguistic, psychological, and sociocultural aspects of communication. Utilizing tests such as pre-tests and/or post-tests, tailored to the specific research objectives, can help in measuring these aspects separately and in isolation. Future Research: Future studies should explore the long-term effects of empathic listening and sociocultural training on communicative competence across diverse cultural contexts. Additionally, the research could investigate the minimum linguistic proficiency required to effectively employ these skills and the potential for adapting this approach to other fields where cross-cultural communication is essential, such as international business and healthcare. http://www.informingscience.org/Publications/5400 teaching communicative approach communicative competence social context eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-12-17 26 .i iv 5060 article Eli Cohen elibcohen@gmail.com Table of Contents for Volume 26 of Informing Science: The International Journal of an Emerging Transdiscipline, 2023 http://www.informingscience.org/Publications/5060 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-02-22 26 001 003 5087 article Francesco Tommasi francesco.tommasi@univr.it Aim/Purpose: This is an introductory paper for the developing special series on applied psychology and informing science. It takes into account the spirit of informing science to launch the first of three articles in the series on applied psychology. The paper concludes by raising questions for future investigations. http://www.informingscience.org/Publications/5087 informing science applied psychology transdisciplinary eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-02-22 26 005 021 5070 article Riccardo Sartori riccardo.sartori@univr.it Andrea Ceschi andrea.ceschi@univr.it Mattia Zene mattia.zene@univr.it Lorenzo Scipioni lorenzo.scipioni@univr.it Michele Monti michele.monti@univr.it Aim/Purpose: The study aims to examine the mediating role of job motivation and affective and normative commitment on the relationship between perceived organizational support (POS) and job turnover intention. Background: POS refers to employees’ beliefs and perceptions concerning the extent to which the organization values their contributions, cares about their well-being, and fulfils their socio-emotional needs. To date, research has shown that employee turnover is a complex construct resulting from the interplay of both individual and organizational variables, such as motivation and climate. Methodology: Cross-sectional data were collected from 143 employees of an Italian industrial company. Paper-and-pencil questionnaires were used to assess respondents’ POS, job motivation, affective and normative organizational commitment, and turnover intentions. Contribution: Specifically, in this research, we aim at examining (i) the indirect effect of POS on turnover intention via (ii) job motivation and (iii) normative and affective commitment. Findings: Results show that high POS is associated with high levels of job motivation and affective and normative commitment, which in turn are negatively linked to turnover intentions. Recommendation for Researchers: Researchers should not lose sight of the importance of studying and delving into the concept of turnover intention given that, from an organizational point of view, losing personnel means losing competencies, which need to be replaced through assessment, selection, training, and development, processes that are often challenging and expensive. Future Research: Future research should further investigate the role of motivation and commitment, other than additional variables, for POS and turnover intention. Longitudinal studies and further testing are required to verify the causal processes stemming from our model. Future research could consider linking employees’ self-reported measures with objective data concerning turnover rates. http://www.informingscience.org/Publications/5070 perceived organizational support turnover intention job motivation affective commitment normative commitment eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-02-22 26 023 038 5076 article Dukhayel Aldukhayel dmdkhiel@qu.edu.sa Aim/Purpose: The purpose of this study is to determine the impact of pre-listening activities on Arabic-speaking EFL learners’ comprehension of spoken texts. Background: This study aims to contribute to the current research and to increase our understanding about the effectiveness of pre-listening activities. Specifically, this study seeks to clarify some of the research in this area that seems to be incongruent. Methodology: The study investigates two widely implemented activities in second language (L2) classrooms: vocabulary preteaching and content previewing. Ninety-three native-Arabic speaking EFL learners, whose proficiently levels were beginner, intermediate, or advanced, were randomly assigned to a control group or one of three experimental groups: the vocabulary-only (VO) group, content-only (CO) group, or vocabulary + content (VC) group. Each of the experimental groups received one of the treatments to determine which pre-listening activity was more effective and whether additional pre-listening activities yield additional comprehension. Listening comprehension of the aural text was measured by a test comprising 13 multiple-choice and true-false questions. Contribution: The present study provided additional explanations regarding the long-standing contradicting results about vocabulary preteaching and content previewing. Findings: The results showed that pre-listening activities had a positive impact on Arabic-speaking EFL learners’ listening comprehension, with the VO group significantly increasing their scores on the posttest compared to those of the control or other groups. Vocabulary preteaching was particularly beneficial for more advanced learners. With regard to which pre-listening activity contributed the most to better listening comprehension, vocabulary preteaching was the most effective. Content previewing did not increase comprehension for the CO group and had no additional benefit for the VC group. Recommendation for Researchers: This paper recommends that researchers explore new pre-listening activities that have never studied. Future research should be extended to include other nations and contextual situations to extend our knowledge about the effect of pre-listening activities. As far as listening comprehension can only be achieved when listeners are attentive and engaged, the listening text should be interesting and the lexical coverage of the listening text should be appropriate for all participants. Future Research: The results are to be interpreted carefully because they are limited by the students’ L2 proficiency, demographic, and cultural backgrounds (i.e., first language (L1) proficiency, age, gender, Middle Eastern culture). Results might be quite different if the study was conducted with different populations who have different life and language learning experiences (Vandergrift & Baker, 2015). Therefore, the results of this study indicate there is much room for improvement and a need for further research. http://www.informingscience.org/Publications/5076 Arabic-speaking EFL learners content previewing L2 listening pre-listening activities vocabulary preteaching eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-02-22 26 039 068 5078 article Luca Pietrantoni luca.pietrantoni@unibo.it Sofia Morandini sofia.morandini3@unibo.it Federico Fraboni federico.fraboni3@unibo.it Marco De Angelis marco.deangelis6@unibo.it Gabriele Puzzo gabriele.puzzo2@unibo.it Davide Giusino davide.giusino2@unibo.it Aim/Purpose: This paper examines the transformative impact of Artificial Intelligence (AI) on professional skills in organizations and explores strategies to address the resulting challenges. Background: The rapid integration of AI across various sectors is automating tasks and reducing cognitive workload, leading to increased productivity but also raising concerns about job displacement. Successfully adapting to this transformation requires organizations to implement new working models and develop strategies for upskilling and reskilling their workforce. Methodology: This review analyzes recent research and practice on AI's impact on human skills in organizations. We identify key trends in how AI is reshaping professional competencies and highlight the crucial role of transversal skills in this evolving landscape. The paper also discusses effective strategies to support organizations and guide workers through upskilling and reskilling processes. Contribution: The paper contributes to the existing body of knowledge by examining recent trends in AI's impact on professional skills and workplaces. It emphasizes the importance of transversal skills and identifies strategies to support organizations and workers in meeting upskilling and reskilling challenges. Our findings suggest that investing in workforce development is crucial for ensuring that the benefits of AI are equitably distributed among all stakeholders. Findings: Our findings indicate that organizations must employ a proactive approach to navigate the AI-driven transformation of the workplace. This approach involves mapping the transversal skills needed to address current skill gaps, helping workers identify and develop skills required for effective AI adoption, and implementing processes to support workers through targeted training and development opportunities. These strategies are essential for ensuring that workers' attitudes and mental models towards AI are adaptable and prepared for the changing labor market. Recommendation for Researchers: We emphasize the need for researchers to adopt a transdisciplinary approach when studying AI's impact on the workplace. Given AI's complexity and its far-reaching implications across various fields including computer science, mathematics, engineering, and behavioral and social sciences, integrating diverse perspectives is crucial for a holistic understanding of AI's applications and consequences. Future Research: Looking ahead, further research is needed to deepen our understanding of AI's impact on human skills, particularly the role of soft skills in AI adoption within organizations. Future studies should also address the challenges posed by Industry 5.0, which is expected to bring about even more extensive integration of new technologies and automation. http://www.informingscience.org/Publications/5078 artificial intelligence organisational learning transversal skills upskilling re-skilling eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-03-12 26 069 084 5073 article Francis Mithanga Kamau mithash41@gmail.com Cheruiyot Wilson Kipruto wilchery68@gmail.com Kennedy Ogada kenogada@gmail.com Aim/Purpose: The amount of information published has increased dramatically due to the information explosion. The issue of managing information as it expands at this rate lies in the development of information extraction technology that can turn unstructured data into organized data that is understandable and controllable by computers Background: The primary goal of named entity recognition (NER) is to extract named entities from amorphous materials and place them in pre-defined semantic classes. Methodology: In our work, we analyze various machine learning algorithms and implement K-NN which has been widely used in machine learning and remains one of the most popular methods to classify data. Contribution: To the researchers’ best knowledge, no published study has presented Named entity recognition for the Kikuyu language using a machine learning algorithm. This research will fill this gap by recognizing entities in the Kikuyu language. Findings: An evaluation was done by testing precision, recall, and F-measure. The experiment results demonstrate that using K-NN is effective in classification performance. Recommendation for Researchers: With enough training data, researchers could perform an experiment and check the learning curve with accuracy that compares to state of art NER. Future Research: Future studies may be done using unsupervised and semi-supervised learning algorithms for other resource-scarce languages. http://www.informingscience.org/Publications/5073 named entity recognition memory-based learning algorithms semantic web problems K-Nearest Neighbor (KNN) precision recall F-Score measures eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-05-04 26 085 101 5108 article Johanna Lisa Degen jd@psychologische-forschungspraxis.de Aim/Purpose: Parasocial relationships are today established on social media between influencers and their followers. While marketing effects are well-researched, little is known about the meaning of such relationships and the psychological mechanisms behind them. This study, therefore, explores the questions: “How do followers on Instagram interpret explicit fiction cues from influencers?” and “What does this reveal about the meaning of parasocial attachment?” Background: With a billion-dollar advertising industry and leading in influencing opinion, Instagram is a significant societal and economic player. One factor for the effective influence of consumers is the relationship between influencer and follower. Research shows that disclosing advertisements surprisingly does not harm credibility, and sometimes even leads to greater trustworthiness and, in turn, willingness to purchase. While such reverse dynamics are measurable, the mechanisms behind them remain largely unexplored. Methodology: The study follows an explorative approach with in-depth interviews, which are analyzed with Mayring’s content analysis under a reconstructive paradigm. The findings are discussed through the lens of critical psychology. Contribution: Firstly, this study contributes to the understanding of the communicative dynamics of influencer-follower communication alongside the reality-fiction-gap model, and, secondly, it contributes empirical insights through the analysis of 22 explorative interviews. Findings: The findings show (a) how followers rationalize fiction cues and justify compulsive decision-making, (b) how followers are vulnerable to influences, and (c) how parasocial attachment formation overshadows rational logic and agency. The findings are discussed with regard to mechanisms, vulnerabilities, rationalizations and cognitive bias, and the social self, as well as the ethics of influencer marketing and politics. Recommendation for Researchers: The contribution is relevant to relationship research, group dynamics and societal organizing, well-being, identity, and health perspectives, within psychology, sociology, media studies, and pedagogy to management. Future Research: Future research might seek to understand more about (a) quantifiable vulnerabilities, such as attachment styles, dispositions, and demographics, (b) usage patterns and possible factors of prevention, (c) cognitive and emotional mechanisms involved with larger samples, (d) the impact on relationships and well-being, and (e) possible conditions for the potential of parasocial attachment. http://www.informingscience.org/Publications/5108 parasocial relationships social media intimate relationships bonding social media advertisement rationalization human mind bias social media communication eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-05-11 26 103 114 5115 article Davide Giusino davide.giusino2@unibo.it Ferdinando Toscano ferdinando.toscano@unibo.it Federico Fraboni federico.fraboni3@unibo.it Tayebe Rahimi Pordanjani tayebe.rahimi@yahoo.com Aim/Purpose: To explore the incidence of addiction potential within the Iranian public working population, describing how many Iranian public employees fall within the diagnostic categories of low, moderate, and high addiction potential. Also, to investigate the predicting role of occupational variables such as perceived stress, job security, and job satisfaction on addiction potential and belonging to low, moderate, and high addiction potential diagnostic categories. Background: Substance addiction among employees can lead to several negative consequences at the individual and organizational levels. Also, it is the fourth cause of death in Iran. However, few studies have been conducted on the topic among employees, and non among Iranian employees. Methodology: The study participants were 430 employees working in governmental offices of the North Khorasan province, Iran. Descriptive statistical analysis and multiple linear regression analysis were conducted to explore the incidence of addiction potential within the analyzed population and to investigate whether occupational variables such as perceived stress, job security, and job satisfaction predicted low, moderate, or high addiction potential. Contribution: This paper suggests that perceived stress might act as a risk factor for developing addiction, whereas job security and job satisfaction might be protective factors against the likelihood of addiction development. Findings: More than half of the sample showed moderate to high addiction potential. Perceived stress was positively related to addiction potential. Job security and job satisfaction were negatively related to addiction potential. Recommendation for Researchers: When addressing the topic of substance addiction, researchers should focus on the preventative side of investigating it; that is, addiction risk rather than already unfolded addiction. Also, researchers should be mindful of the cultural context in which studies are conducted. Future Research: Future research might investigate other relevant occupational predictors in relation to employee addiction potential, such as leadership style, work-life balance, and worktime schedule, or expand on the relevant causal chain by including personality traits such as neuroticism. http://www.informingscience.org/Publications/5115 substance addiction addiction potential public employees stress job security job satisfaction occupational health Iranian employees eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-05-29 26 115 134 5120 article Amalia De Leo amalia.deleo@unicatt.it Emanuele Russo emanuelerus@gmail.com Aim/Purpose: The aim of this qualitative study is to explore social workers’ representations of hate speech (HS), the effects it has on the community, and socio-educational actions aimed at combating it. Background: Hate speech is any form of communication that promotes discrimination, hostility, or violence towards individuals or groups based on their identity. Although its spread is facilitated by particular characteristics of the online environment (such as anonymity and ubiquity), HS has pervasive consequences even in offline reality. In the last year, several community-based projects involving social workers have been implemented to address the problem. Professionals who work with the community play a crucial strategic role in the fight against HS. Therefore, it is imperative to begin by considering their perspective to gain a better understanding of HS and how it can be controlled. Methodology: Following a psycho-sociological perspective, six focus groups were conducted with 42 social workers (19 females and 23 males) belonging to associations or organizations of a different nature, such as NGOs, local social promotion organizations, universities, private social organizations, whose mission included the theme of countering hate speech. Contribution: There are no studies in the literature that consider the views of operators working to counter hate speech within communities. Our study contributes to deepening the knowledge of the phenomenon and identifying the most suitable strategies to combat it, starting from an approach that does not only focus on the online or offline dimension but on an integrated “onlife” approach. The study offers an outline of how hate speech affects the daily lives of the communities in the cities of Torino, Palermo, and Ancona. Additionally, it proposes a grassroots strategy to address hate speech. Findings: The results suggest that strategies effective in countering hate speech in offline contexts may not be effective in online environments. The technological revolution brought about by social media has significantly expanded the potential audience while weakening traditional communities. Addressing hate speech in the present context requires efforts to rebuild fragmented communities, gaining a thorough understanding of how the new virtual public space operates, and prioritizing hate speech as a specific concern only after these initial steps. Recommendation for Researchers: Hate speech represents a violation of human rights and a threat to freedom of expression. The spread of hateful messages has a significant impact on society, as it can negatively influence social cohesion, diversity, and inclusion. Understanding the causes and consequences of hate speech can help develop effective strategies to prevent and counter it, which is a crucial challenge for both research and society as a whole. Studying hate speech should involve the use of interdisciplinary methodologies. Future Research: Future research should focus on comparative analysis at the European Union level to assess the ability of civil society in other countries to develop effective strategies against hate speech. http://www.informingscience.org/Publications/5120 hate speech online hating community social workers activism social media educational strategies eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-06-30 26 135 147 5100 article Evie Michailidis evie.michailidis@outlook.com Aim/Purpose: Embitterment comprises a stress-related response to unjust life experiences. Studies have found that it can have a toll on employees’ well-being. However, research on this matter is still in its infancy. Background: Within the scope of the present study, Ι sought to investigate how embitterment relates to burnout – the prolonged consequence of stress. This study further explored whether breaches of psychological contracts can trigger embitterment. Methodology: The study employed a cross-sectional design where two hundred and eight (N = 208) participants from the general population completed an online survey. Contribution: Findings suggest that the toll of embitterment might be much more than what research has suggested so far. Those who experience embitterment can become emotionally exhausted and cynical and these findings can be especially useful when identifying embitterment. Findings: It was found that embitterment related to higher burnout levels and more specifically emotional exhaustion and cynicism. No significant findings were revealed for the relationship between professional inefficacy and embitterment. Also, psychological contract breach was found to be a significant predictor of embitterment, supporting further the notion that perceptions of injustice can trigger feelings of embitterment. Results also showed that embitterment mediated the relationship between psychological contract breach and burnout. Recommendation for Researchers: The study highlights the notion that fairness is a key precursor of embitterment, and this finding is essential when developing interventions to prevent embitterment from arising. Future Research: Future research could use a longitudinal study design to unravel whether burnout represents a precondition or the consequence of embitterment. Future research should also include more objective measures. For example, it would be useful to pair self-report data with more objective measures on embitterment (e.g. clinical interviews). http://www.informingscience.org/Publications/5100 posttraumatic embitterment disorder embitterment burnout psychological contract eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-08-06 26 149 172 5178 article Federico Fraboni federico.fraboni3@unibo.it Greta Mazzetti greta.mazzetti@unibo.it Dina Guglielmi dina.guglielmi@unibo.it Giulia Paganin giulia.paganin2@unibo.it Luca Pietrantoni luca.pietrantoni@unibo.it Aim/Purpose: This study builds upon existing research by investigating the elements contributing to or buffering the onset of burnout symptoms. We examine the relationship between empowering leadership and burnout, considering the concurrent mediation effects of interpersonal workplace conflict, work-home conflict, and support from coworkers. Background: Burnout is a phenomenon that has been widely considered in the scientific literature due to its negative effect on individual and organizational well-being, as well as implications for leadership, coworker support, and conflict resolution. A deeper understanding of burnout prevention strategies across various professional contexts is paramount for enhancing productivity and job satisfaction. Methodology: Using a survey-based cross-sectional design, we employed a combination of Structural Equation Modelling (SEM) and Artificial Neural Network (ANN) to investigate the direct and indirect influences of empowering leadership on four dimensions of employee burnout, mediated by coworker support, interpersonal conflict at work, and work-home conflict. Contribution: This study provides initial insights into the direct and indirect influences of empowering leadership on various dimensions of burnout, highlighting the complex interplay with coworker support, work-home conflict, and workplace interpersonal conflicts. Ultimately, the study provides a comprehensive approach to understanding and mitigating burnout. Findings: Empowering leadership and coworker support can significantly reduce burnout symptoms, while high levels of work-home conflict and interpersonal conflict at work can exacerbate them. Our findings underscore the paramount role of interpersonal conflict in predicting burnout, urging organizations to prioritize resolving such issues for burnout prevention. Recommendation for Researchers: Following our findings, organizations should (a) promote empowering leadership styles, (b) foster coworker support and work-life balance, and (c) address interpersonal conflicts to reduce the likelihood of employee burnout while ensuring that these strategies are tailored to the specific context and culture of the workplace. Future Research: Future research should broaden the exploration of leadership styles’ effects on burnout, identify additional mediators and moderators, expand studies across sectors and cultures, examine differential impacts on burnout dimensions, leverage advanced analytical models, and investigate the nuanced relationship between work contract types and burnout. http://www.informingscience.org/Publications/5178 burnout empowering leadership coworker support interpersonal conflicts at work work-home conflict structural equation modeling artificial neural network eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-08-07 26 173 189 5138 article Michele Monti michele.monti@univr.it Riccardo Sartori riccardo.sartori@univr.it Andrea Ceschi andrea.ceschi@univr.it Sara Bollarino sara.bollarino@gmail.com Aim/Purpose: The aim of the present paper is to present a Noise Decision (ND) scale. First, it reports the development and validation of the instrument aimed at examining organizational factors that have an influence on decision-making and the level of noise. Second, it validates this rating scale by testing its discriminant and convergent validity with other measures to assess decision-making qualities. Background: According to the literature, the concept of noise is the unwanted variability present in judgments. The notion of noise concerns the systematic influence to which individuals are exposed in their environment. The literature in the field has found that noise reduction improves the perception of work performance. Methodology: The first study involves the development of a scale (composed of 36 items) consisting of semi-structured interviews, item development, and principal component analysis. The second study involves validation and convergent validity of this scale. In the first study, there were 43 employees from three medium-sized Italian multinationals. For the second study, a sample of 867 subjects was analysed. Contribution: This paper introduces the first scale aimed at assessing noise within individuals and, in the organizational context, within employees and employers. Findings: Results show that the estimated internal reliability for each of the ND subscales and also the correlations between the subscales were relatively low, suggesting that ND correctly measures the analyzed components. Furthermore, the validation of the psychometric qualities of the ND allowed for the assertion that the influence of noise is present in the decision-making process within the context of work environments, validating the initial hypotheses. Recommendation for Researchers: This paper aims to improve theory and research on decision-making; for example, by providing a possible implementation for scales for evaluating decision-making skills. Furthermore, detecting and limiting noise with a systematic method could improve both the quality of decisions and the quality of thought processes. Future Research: Given the measurement of ND, the study can be a starting point for future research on this topic. Since there is no literature about this construct, it would be necessary to spend more time researching, so that the topic becomes clearer. System noise has been tested by some researchers with a “noise audit,” which means giving the same problem to different people and measuring the differences in their responses. Repeating this kind of audit in conjunction with the ND in a specific work environment could be helpful to detect but also measure the influence of noise. http://www.informingscience.org/Publications/5138 noise decision-making validation heuristics & biases eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-10-10 26 191 208 5197 article Andrea Kleeberg-Niepage andrea.kleeberg-niepage@uni-flensburg.de EMMA SARAH ESHUN eseshun@uew.edu.gh Anton Perzy anton.perzy@uni-flensburg.de Aim/Purpose: In this article, the subjective perspectives of young people in Ghana on the use of digital media are elaborated. The aim is to make the positions of young people visible in the often adult-dominated discourse on digital media and to overcome adult-centered considerations in academic and public debates. In addition, the focus on young people from the Global South is intended to help make their underrepresented voices present in this discourse. Background: Digital media devices and Internet access are conditional on people’s social, economic, and educational participation. Many people in the Global South in particular are not yet granted such access. For children and young people worldwide, the educational opportunities offered by digital media are associated with potential threats to mental health and well-being. However, young people’s views on digital media are rarely addressed, especially in the Global South. Methodology: Based on a qualitative thematic analysis of responses to open-ended questionnaire questions, young Ghanaians’ views on smartphone use and how it affects academic success are examined. Contribution: By focusing on the subjective perspectives of young people, especially from the Global South, voices that have hardly been heard in the discourse on digital media are made audible. This should help overcome the dominant adult-centered perspectives in this discourse. Findings: For young people in Ghana, digital media are part of their everyday lives and often necessary to succeed at school. At the same time, they are concerned about the dangers, e.g., from overuse or cybercrime, for which they have few strategies to deal with. In their answers, they refer to socio-culturally specific discourses and values as well as to generational hierarchies that they perceive and deal with, which go far beyond the topic of digital media use. This makes clear the social tensions in which the debate about digitalization is embedded. Recommendation for Researchers: Young people’s knowledge of and perspectives on digital media is an important resource for learning to use them in an emancipated way. Future Research: Future research should recognize young people as experts in their own right on the issue, explore ways to include their perspectives in the discourse on digital media use and work with them to harness the future potential of the technology and avoid risks. http://www.informingscience.org/Publications/5197 digital media use global south young people’s perspectives generational hierarchy academic success eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-11-13 26 209 229 5203 article Teresa Di Fiore teresa.difiore@unich.it Stefania Fantinelli stefania.fantinelli@unifg.it Matteo Curcuruto matteo.curcuruto01@gmail.com Veronica Giffi veronica.giffi@unich.it Michela Cortini michela.cortini@unich.it Teresa Galanti teresa.galanti@unich.it Aim/Purpose: The aim of this study is to examine the role of psychological ownership for safety in boosting employee performance and the impact of Perceived Organizational Support for Safety (POSS) on workers’ well-being, considering the psychological aspects associated with workplace safety and exploring the mediating effect of employees’ commitment. Background: It is widely recognized that promoting workplace safety goes beyond purely physical measures and must also consider the psychological aspects associated with safety management. However, while some studies have shown the direct effect of POSS and Safety Ownership on safety outcomes, very few studies have explored the underlying mediating mechanism, as well as their impact on distal outcomes, such as well-being and performance. Methodology: The cross-sectional study was conducted on a convenience sample of a metal mechanic enterprise’s employees through an online self-assessment questionnaire. Contribution: This study contributes to understanding the mechanisms through which psychological ownership for safety, organizational support for safety, and psychological factors related to safety collectively influence organizational outcomes. Findings: Two indirect significant effects are described. The first is between POSS and well-being, and the second significant relation is between psychological ownership for safety and job performance. When employees perceive that their organization cares about safety, they will experience a stronger sense of commitment and, in turn, they will be more satisfied in the work context, and they will improve their job performance. Recommendation for Researchers: Researchers should take a transdisciplinary approach to enable the integration of knowledge and perspectives from different fields that are essential to understanding the full range of implications and applications of safety management. Future Research: It could be interesting to investigate a different point of view on safety (e.g., top management or health and safety officers) and explore concerns about how to successfully communicate and transfer safety climate during remote working activities. http://www.informingscience.org/Publications/5203 safety climate psychological ownership for safety organizational support for safety affective commitment job performance well-being eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-11-18 26 231 261 5204 article Rishi Dwesar rishidwesar@ibsindia.org Bikramjit Rishi bikramjit.rishi@snu.edu.in Aim/Purpose: The focus on human well-being has attracted the attention of consumers, organizations, and marketers to understand the various facets of Front of Pack Nutrition Labelling (FOPNL). This study examines the overall research trends in the FPONL domain and identifies the new research areas. Background: FOPNL is becoming increasingly popular and its influence has been widely examined. Different label schemes have been introduced across different regions in the world. Nevertheless, such interventions are limited in developing economies. Methodology: This study uses bibliometric analysis methods to explore Front of Pack Nutrition Labelling (FOPNL) trends using 602 articles published in selected business journals. Contribution: The paper identifies the new FOPNL research avenues. The study indicates that FOPNL has become a crucial research area, and more research is needed at the organization, managerial, and policy levels. Findings: The study identifies four themes. The first theme identified is the effect of harmful nutrients on health and the role of FOPNL nutrition in changing eating habits. The second theme focused on the government's policy and implementation of FOPNL nutrition labeling regulations. The third theme is dedicated to the work on attention, perception, understanding, and influence of multiple traffic light schemes. The fourth theme relates to the Health Star Rating, Nutri Score, and Healthier Choice FOPNL nutrition labeling schemes. Overall, the paper informs consumers, manufacturers, and regulators about the recent trends in the FOPNL research. Recommendation for Researchers: Though FOPNL has been widely examined in the health and nutrition domain, however, limited research has been done in the marketing domain. Research using neuroscientific methods (e.g. eye tracking) should provide more robust findings. Future Research: There is limited research on FOPNL from emerging economies. Future research can examine how FOPNL may influence people, policy, and private entities. http://www.informingscience.org/Publications/5204 bibliometric analysis network analysis thematic analysis front of pack nutrition labelling (FOPNL) keyword analysis nutri score eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2023-11-29 26 263 278 5218 article Giulia Paganin giulia.paganin2@unibo.it Roberta Bonfiglioli roberta.bonfiglioli@unibo.it Dina Guglielmi dina.guglielmi@unibo.it Francesco S. Violante francesco.violante@unibo.it Greta Mazzetti greta.mazzetti@unibo.it Aim/Purpose: The present study aims to frame the relationship between job and personal resources (namely, organizational identification and emotional intelligence), burnout, and musculoskeletal disorders (i.e., back pain, upper limb pain, lower limb discomfort), into the theoretical framework provided by the JD-R health model. Background: Empirical research indicates a connection between burnout and the onset of musculoskeletal problems, one of the most important occupational health issues affecting all jobs and organizations. In light of the JD-R health model, we investigated the association between personal and job resources with burnout and musculoskeletal disorders. Methodology: An anonymous online questionnaire was answered by 320 workers (82.4% female, Mage = 42.18; SDage = 12.24) investigating their perceived level of burnout, the presence of musculoskeletal pain (back, neck, and shoulder), and their level of organizational identification and emotional intelligence. Descriptive analysis, correlation, and moderated mediation model were performed using SPSS. Contribution: We confirmed the role of personal and organizational resources in the salutogenic process considered by the JD-R health model. Emotional intelligence, decreasing the perceived level of burnout, limited the development of musculoskeletal disorders. Moreover, when organizational identification presented low and medium levels, the association between emotional intelligence and burnout strengthened. Findings: Our results showed a negative, indirect effect of emotional intelligence on musculoskeletal disorders via burnout. Moreover, we found a moderation of organizational organization, indicating that at low and medium levels of identification, the association between emotional intelligence and burnout is stronger. Recommendation for Researchers: In addition to work factors involved in the link between burnout and musculoskeletal disorders, it is also important to consider personal and emotional factors, which can decrease the occurrence of adverse consequences. Future Research: Future research developments could contribute to a deeper understanding of the mechanisms linking emotional intelligence, burnout, and musculoskeletal problems, as well as consider objective indicators of burnout levels or consider using ecological data collection methodologies (e.g., ecological momentary assessment), to identify patterns and associations between burnout and musculoskeletal disorders. http://www.informingscience.org/Publications/5218 musculoskeletal disorders burnout emotional intelligence organizational identification JD-R model salutogenic process eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-01-10 25 .i iii 4904 article Eli Cohen InformingScience@Comcast.net Table of Contents for Volume 25 of Informing Science: The International Journal of an Emerging Transdiscipline, 2022 http://www.informingscience.org/Publications/4904 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-01-10 25 001 021 4893 article Vladimir Mokiy vmokiy@yandex.ru Tatiana Lukyanova luktania@mail.ru Aim/Purpose: The Covid-19 pandemic has created many adverse effects. It overloads the healthcare system, causes deaths, and angers some at anti-covid restrictions. This study examines the feasibility of using technical and technological ideas to overcome these effects. The solution is based on new knowledge about the virus, its nature, formation, and activation in the environment. Background: The rapid spread of a new coronavirus infection is taking place against the background of a lack of time required to create new treatment scenarios for the disease, development, production, and vaccine safety research. In such a situation, it became necessary to gain this time for organizing and conducting events that could reduce the burden on the healthcare system. Methodology: The science that studies the morphology, physiology, genetics, ecology, and evolution of viruses is virology. The modern development of virology is moving towards a more accurate and comprehensive description of the mechanisms of interaction of viruses with the host organism. This contributed to the emergence of genomics, transcriptomics, proteomics, and immunomics. However, in virology, there is no particular discipline that sets itself three fundamental goals: to substantiate a single concept of the emergence of viruses; to study the natural mechanisms of formation of virus molecules in the environment; to describe the natural mechanisms of activation of certain viruses in the environment that cause viral pandemics. As a result, there are many articles among the published scientific articles on viruses dealing with the mechanisms of interaction of viruses with the host organism. However, there are no articles on the natural mechanisms of formation and activation of certain viruses in the environment. In the absence of such specialized articles, we were forced to use the method of systems transdisciplinary generalization of disciplinary knowledge to achieve our article’s purpose. Generalization created new knowledge about the nature of viruses, about the mechanisms of their formation and activation in the environment and cells of biological organisms. It is logical to assume that to synchronize the state of biological objects of all functional ensembles on the planet, it is necessary to create and activate appropriate “technological tools.” We have suggested and proved that RNA viruses play the role of such tools. Piezoelectricity activates viruses. It occurs during the compression and stretching of sedimentary rocks and bases of continental plates in different territories. Contribution: The systems transdisciplinary generalization of the knowledge of scientific disciplines made it possible to edit the concept of viruses, to eliminate stereotypes that arose due to the use of unsuccessful analogies. As a result of this generalization, it was possible to prove that viruses are not intracellular parasites. The virus is a “technological tool” of the planetary organizing component. This “tool” aims to correct the genetic programs of organisms of all functional ensembles (plants, animals, people), which will maintain the state of organisms and the parameters of their metabolism in changing environmental conditions. Findings: The viruses that triggered pandemics in the 20th century and early 21st century are RNA viruses. RNA molecules play the role of “technological tools” that the planetary organizing component uses to carry out short-term and long-term adjustments and constant support of the genetic programs of biological organisms. Therefore, in such a situation, it is advisable to talk not about the fight against the virus but only about eliminating the negative manifestations of the Covid-19 pandemic: reducing the number of people in need of emergency hospitalization, eliminating cases of the acute course of the disease and deaths. It is proposed to use certain technical and technological ideas and solutions to eliminate these negative manifestations. Recommendation for Researchers: This paper recommends that researchers use new interdisciplinary and transdisciplinary approaches. They challenge assumptions and conclusions about the nature of viruses, and the mechanisms of their formation and activation in the environment can initiate. Such new research might describe the mechanisms that form and activate viruses in the environment and the body’s cells. They also might provide practical use of this knowledge to eliminate the multiple speculations and fears that arise against the background of reports of the likely appearance of more deadly viruses and viral infections. Future Research: The results of a systems transdisciplinary generalization of disciplinary knowledge about the nature and purpose of viruses are essential for expanding the horizon of the scientific worldview. Future fundamental research on the mechanisms of objective organizing constituents, a general description given in this article, will contribute to a deeper understanding of chemical and biological evolution mechanisms in which modern humanity is involved. In due time, such an understanding will allow a new look at the existing scenarios of the world socio-economic order, explore and describe new principles of sustainable development of society. http://www.informingscience.org/Publications/4893 Covid-19 SARS-CoV-2 transdisciplinarity systems thinking systems trans-disciplinary approach eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-01-12 25 023 044 4902 article Ajit Kumar ajit@xim.edu.in Amrita Priyadarsini amrita@xustudent.edu.in Aim/Purpose: A literature review is often criticized for the absence of coherent construction, synthesis of topics, and well-reasoned analysis. A framework is needed for novice researchers to organize and present information obtained from the literature review. Background: Information and communication technologies advancement have yielded overwhelming information. The massive availability of information poses several challenges, including storage, processing, meaningful organization, and presentation for future consumption. Information System Researchers have developed frameworks, guidelines, and tools for gathering, filtering, processing, storing, and organizing information. Interestingly, information system researchers have vast information that needs meaningful organization and presentation to the research fraternity while conducting a literature review on a research topic. Methodology: This paper describes a framework called LACTiC (Location, Author, Continuum, Time, and Category) that we adapted from another framework called LATCH (Location, Alphabetical, Time, Category, and Hierarchy). LATCH was used to organize and present information on e-commerce websites for seamless navigation. We evaluated the LACTiC framework. Contribution: Information System Researchers can use the LACTiC framework to organize information obtained from literature review. Findings: The evaluation reveals that most researchers from information systems organize information obtained from the literature review category-wise, followed by continuum, author, time, and location. Recommendation for Researchers: Overall, the framework works well and can be helpful for researchers for an initial idea for organizing information obtained from the literature review. Future Research: To conceptualize the framework, the study was carried out using Information Systems related literature. To generalize the proposed framework, we may suggest that the study can be extended to other areas of business management, such as marketing, finance, operation, decision sciences, accounting, and economics. http://www.informingscience.org/Publications/4902 LATCH Five Hat Rack information organization LACTiC eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-02-06 25 045 063 4894 article Victor R. Prybutok prybutok@unt.edu Juergen Stegmair jstegmair@gmail.com Aim/Purpose: Cyberbullying (CB) is an ongoing phenomenon that affects youth in negative ways. Using online news articles to provide information to schools can help with the development of comprehensive cyberbullying prevention campaigns, and in restoring faith in news reporting. The inclusion of online news also allows for increased awareness of cybersafety issues for youth. Background: CB is an inherent problem of information delivery and security. Textual analysis provides input into prevention and training efforts to combat the issue. Methodology: Text extraction and text analysis methods of term and concept extraction; text link analysis and sentiment analysis are performed on a body of news articles. Contribution: News articles are determined to be a major source of information for comprehensive cyberbullying prevention campaigns. Findings: Online news articles are relatively neutral in their sentiment; terms and topic extraction provide fertile ground for information presentation and context. Recommendation for Researchers: Researchers should seek support for research projects that extract timely information from online news articles. Future Research: Refinement of the terms and topics analytic model, as well as a system development approach for information extraction of online CB news. http://www.informingscience.org/Publications/4894 cyberbullying educational leadership text analytics eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-02-28 25 065 087 4889 article Gurakuç Kuçi gurakuc.kuci@unite.edu.mk Aim/Purpose: The integration of knowledge through the transdisciplinary method with the three concepts civilization, ideology, and geopolitics (CIG) enables the analysis of international relations in a new perspective and the informing strategists of countries, organizations, analysts, clients, etc. These three concepts express the transdisciplinarity that offers a new theoretical explanation and the informing science approach. Background: The integration of knowledge using the three concepts for the analysis of international relations has found adequate explanations from 1890 until the withdrawal of the United States from Afghanistan. Therefore, the CIG model theoretically and practically finds support for more than a century, as argued in the paper. Methodology: The present paper uses a mixed theory based on transdisciplinary methodology and informing science. The literature was reviewed to find and build the theoretical basis and provide appropriate examples. The theory is also based on the model used by Francis Fukuyama in his books on building and dissolution of states (middle-range theory). Contribution: This paper enables the rethinking of the limitations of research on a theoretical and practical basis that is done in many scientific circles, not to eliminate others but to enrich science even more. Findings: In the paper, the main findings are the following: Integrating the three CIG concepts according to the transdisciplinary method offers a new perspective to explain international relations using the IS method; The integration of the three concepts is worthwhile after 1980, when the model of cabinet governments falls, Bismarck falls, and public opinion starts to emerge; It was after 1980 that theories of civilization and geopolitics began to emerge along with ideologies to apply in practice; These three concepts offer explanations based on a CIG zone and in the periphery of the CIG zone. In the CIG zone the security sphere is more stable and long-term, while in periphery the cooperation is temporary and not long termed; The paper shows that the Cold War period is divided into two periods; The paper also finds that CIG explains with examples the events that happened after the Cold War and until present days; The paper also shows, based on the strategies of the superpowers, how they are extending their influence based on the CIG concepts. The paper also shows new patterns of cooperation and clashes between the superpowers’ security zones, which also provide an explanatory perspective for the USA withdrawal from Afghanistan. (We do not talk in the paper about the Afghanistan issue and USA withdrawal). Recommendation for Researchers: Scientific attributes in the integration of knowledge give researchers a more open and comprehensive perspective to make more accurate and practical analyses of international relations. According to this model, other theories are enriched that use the transdisciplinary method, IS, and the CIG as a model for the integration of knowledge. Future Research: Researchers and practitioners of this CIG model can find answers such as “Why did the USA fail in Afghanistan and why was it successful in Kosovo?” as well as other questions about finding a solution for Iraq, cooperation with China, etc. http://www.informingscience.org/Publications/4889 civilization ideology geopolitics security zones Cold War eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-03-12 25 089 110 4934 article Ana Teixeira de Melo anamelopsi@gmail.com Rita Campos ritacampos@ces.uc.pt Aim/Purpose This paper aims to illustrate, through an exploratory ideographic case study, how a Complex Thinking framework can inform the design of scientific events and the facilitation of scientific Inter and Transdisciplinary groups towards positive emergent outcomes, both at the level of the functioning of the group and the collective complexity of their thinking. Moreover, it aims to show how the choice of facilitation strategies can contribute to positive emergent outcomes in the context of a fully online event, with its inherent constraints. Finally, this study aims to conduct an exploratory qualitative evaluation of the participants’ experiences during School, with a focus on the processes and how they relate to the aims of the School and the goals of the facilitation. Background Science needs to embrace modes of knowing capable of generating more complex (differentiated, integrated, recursively organized, emergent), ecologically fit, and creative responses, to meet the complexity of the world’s challenges. New formats and strategies are required that attend to the facilitation of Inter and Transdisciplinary scientific events and meetings, towards creative and complex outcomes. A Complex Thinking framework provides suggestions for the facilitation of Inter and Transdisciplinary meetings and events through targeting key properties which may lead to the emergence of complex and creative outcomes. Methodology We adopt an ideographic case study approach to illustrate how a complex systems approach, in particular a Complex Thinking framework, grounded in an enactive view of cognition, guided the design choices and the facilitation strategies of an online Inter and Transdisciplinary Advanced Training School (Winter School). We aim to illustrate how the facilitation strategies were selected and used to promote deep and creative interactions within the constraints of an online environment. We adopt an exploratory qualitative approach to investigate the participants’ reports of their experiences of the School, in light of the principles and goals that guided its design and facilitation. Contribution This paper opens a new area of theoretical and applied research, under the scope of a Complex Thinking framework, focused on the facilitation of Inter and Transdisciplinarity at scientific events, meetings, and discussions towards complex and creative outcomes. Findings The results of the exploratory qualitative analysis of the participants’ experiences regarding the event suggest a critical role of its methodology in fostering rich, deep, and constructive interactions, in leading to the emergence of a collective group experience, to the integration of ideas, and in facilitating transformative personal experiences, under the effects of the emergent group processes. It suggests that the strategies employed were successful, anticipating and overcoming the particular constraints of an online event. Recommendations for Practitioners This case study suggests that a Complex Thinking framework can fruitfully guide the design of facilitation strategies and activities for scientific events and meetings, activating a number of key relational processes that contribute to or boost the emergence of positive group experiences and the production and integration of novel ideas. Recommendations for Researchers This study calls for action-oriented and applied research focused on the developmental evaluation of innovations, regarding the facilitation of scientific creativity and integration, within the scope of a Complex Thinking approach. Impact on Society This paper calls for new modes of organization and formats of scientific activities, suggesting that Inter and Transdisciplinary events and meetings may benefit from intentional management and facilitation of interactions between participants to produce transformative impacts. It demonstrates the importance of the organizational principles used to plan and run events that engage multiple and various societal agents, from academics to practitioners and social activists, towards enhancing their richness and relevance to complex real-world challenges. Future Research This study highlights the need for process-focused systematic case study research using complex systems-informed designs to explore how and which facilitation strategies may promote which (interaction of) properties of Complex Thinking and associated processes and how, and under which conditions, these lead to more complex and creative outcomes. http://www.informingscience.org/Publications/4934 complex thinking interdisciplinarity transdisciplinarity facilitation emergent group processes eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-03-21 25 111 122 4930 article Vivek Arya ichvivekmalik@gmail.com Shivika Dutt shivikadutt@gmail.com Aim/Purpose: This paper aimed to explore the impact of compassion fatigue, compassion satisfaction, and burn-out among the general population during the pandemic. Background: The paper has attempted to explore compassion fatigue, compassion satisfaction, and burn-out among the population at large, especially during the pandemic. This area has not been explored as yet. Methodology: A simple random sample of 98 males and 88 females was collected anonymously through a Google form survey. Part A collected demographic data and Part B comprised of 15 statements with 5 each for compassion fatigue, compassion satisfaction, and burn-out, adapted from a Compassion Fatigue/Satisfaction Self-Test. ANOVA single factor was employed for the three variables of compassion fatigue, compassion satisfaction, and burn-out using a 0.05 significance level. Correlations among the variables were also analyzed. Contribution: The present paper contributes to covering the research gap of investigating the presence of compassion fatigue, compassion satisfaction, and burn-out among the population at large comprising the age group of 18 to 60+ and from different professions. Findings: The findings revealed significant differences in the levels of compassion fatigue, compassion satisfaction, and burn-out in the population at large during the pandemic. Future Research: The findings can be further strengthened by extending it to a larger sample size across different nations and, specifically, studying gender differences during such adverse pandemic situations. http://www.informingscience.org/Publications/4930 compassion fatigue compassion satisfaction burn-out general population pandemic (COVID-19) eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-04-05 25 123 142 4936 article MIAO QIN qinmiao1986@qq.com Aim/Purpose: This paper examines the impact of the transformational, servant, and paternalistic leadership styles on employee performance at the middle and senior levels. Background: Transdisciplinary research promotes the integration and development of various sciences. It provides more choices for leaders to adopt ways and practical activities to promote enterprise development. Complexity leadership theory emphasizes that effectively functioning organizations need distinct forms of leadership to work together. Leaders rely on different leadership practices in an emergent collaborative context, and finding an optimal balance is challenging. Many scholars have attempted to explore which leadership styles have a more significant impact on employees by distinguishing and defining types of leadership styles and explaining the process by which they influence employee behavior and performance. Various scholars have further explored and empirically demonstrated the impact of these three types of leadership styles (transformational, servant, paternalistic)on employee performance. While transformational and servant leadership have their roots in the West, paternalistic leadership has roots in China. Few scholars have conducted comparative studies on their positive impact on employee performance. How do these three leadership styles affect employee performance at the middle and senior levels in the Chinese context? Which combination of middle and senior leadership styles performs best? These are the second area that this paper will attempt to explore. Methodology: This study constructs a three-tier model at the senior, middle, and grassroots levels. A questionnaire survey was used to collect data. SPSS 22.0 and Amos were used for data analysis. Contribution: Through its construction of a three-tier model (senior, middle, and grassroots levels), the paper explores the combined effect of three leadership styles (transformational, servant, and paternalistic) on grassroots employees. It explores the impact of senior leaders across levels on grassroots employee performance, which is expected to provide a valuable addition to theories on leadership styles. It is also instructive to examine which leadership style performs better and what middle and senior leadership configurations are more conducive to driving beneficial employee behavior and, ultimately, corporate growth. Findings: The transformational, servant, and paternalistic leadership styles, both at the top and middle levels, have a significant positive relationship with employee performance; the middle leadership style plays a positive mediating role between the top leadership style and employee performance. In terms of impact on employee performance, transformational leadership shows the best results at both the top and middle levels, with paternalistic leadership second and servant leadership at the same level. Regarding which middle and senior leadership style pairing is the best, the sample is relatively small, and the gap between various pairing combinations is not evident from the data. If the sample size is enlarged, the coefficient will likely expand year-on-year. Therefore, we can assume that the pairing effect of top servant leadership and middle transformational leadership is the best, top paternalistic leadership and middle transformational leadership is the second-best, and the combination of top paternalistic leadership and middle-level servant leadership leaders is the weakest. Recommendation for Researchers: This paper extends the study of top and middle leadership’s combined effect on employee performance as a positive response to the call for multi-layer or cross-layer analysis in leadership research. The findings further enrich the literature on leadership style-related theories. The middle leadership style plays a positive mediating role between the top leadership style and employee performance. The trickle-down effect is further verified, i.e., the top leadership will have a permeating influence on employees through the middle leadership, and the top’s influence on the middle is generally more significant than the influence on grassroots employees. However, the difference between the influence of the middle leadership on the grassroots and that of the top on the grassroots is not apparent, which is inconsistent with the trickle-down effect that the middle leadership communicates more with the grassroots and has more influence on the grassroots, and further verification is needed. All three types of leaders positively affected employee performance, with the best being transformational leadership, paternalistic leadership, and servant leadership. This finding is consistent with some scholars and inconsistent with some scholars. The interested scholars can do further research. The better performance of diverse pairings in middle and senior leadership combinations is consistent with previous research suggesting that leadership styles have their own strengths and can be complementary. This paper further provides a comparative study of multiple leadership styles to validate the recognition and adaptability of leadership styles and further explain the complex relationship between leadership styles and employee job performance. Scholars can conduct comparative research on other leadership styles, and there may be different results. Future Research: Because of the cross-sectional data taken, the findings’ generalizability still needs further validation. There are many types of leadership styles, and there are other types of leadership styles that can be explored comparatively, perhaps leading to different findings. From another point of view, various leaders have their strengths, and they are not mutually hindering. More research is needed on team formation in a variety of contexts. Organic organizational structure enables knowledge creation and integration through the process of organizational learning through deep and continuous social interaction or dialogue. So we can further examine the influence process of leaders on employees from how to give full play to their advantages, such as improving shared leadership and shared communication. http://www.informingscience.org/Publications/4936 leadership transformational servant paternalistic employee performance trickle-down effect eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-04-13 25 143 160 4944 article Ulrich Schmitt schmitt@knowcations.org Aim/Purpose: Developing Digital Platform Ecosystems (DPE) to transform conventional Knowledge Management Systems (KM/KMS) scenarios promises significant benefits for individuals, institutions, as well as emerging knowledge economies. Background: The academic entrepreneurship project presented is aiming for such a KMS-DPE configuration. Having consolidated this author’s own and external re-search findings, realization is currently commencing with a start-up in a business incubator. Methodology: Design science research applying mixed one-sample case study and illustrative scenario approach focusing on conceptual analysis and entrepreneurship. Contribution: Although (academic) entrepreneurship is a young research area with recently growing interest, publications focusing on this transitional stage between maturing research and projected commercial viability of digital technologies are rare. Findings: A roadmap looking beyond the immediate early-start-up perspective is out-lined by integrating recent development-stage-related DPE-research and by addressing stakeholders diverse informing needs essential for system realization. Recommendations for Practitioners and Researchers: As this transdisciplinary perspective combines KM, informing, design science, and entrepreneurial research spaces, it may assist other researchers and practitioners facing similar circumstances and/or start-up opportunities. Impact on Society: The article advances the understanding of how DPE communities may serve members with highly diverse skills and ambitions better to gainfully utilize the platform’s resources and generative potential in their personal and local settings. Future Research: As the entrepreneurial agenda will complement (not substitute) the academic research, research priorities have been highlighted aligned to three future stages. http://www.informingscience.org/Publications/4944 digital platform ecosystem knowledge management system digital academic entrepreneurship design science research informing science start-up eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-10-17 25 161 182 5027 article Sveinn V Gudmundsson s.gudmundsson@wanadoo.fr Aim/Purpose: Explores the interrelationships between uncertainty, motivation, and IT readiness when predicting IOS adoption among small businesses. Background: Small business IOS adoption is proportionally low in most countries worldwide. Methodology: Uses a sample of small businesses and PLS structural-equations path modelling approach. Contribution: Uncertainty is an underexplored construct in information systems research, and our research shows that it plays a significant role in IOS adoption among small businesses Findings: The findings support that uncertainty has a negative effect on intent to adopt IOS and that motivation and IT readiness have a positive effect. Recommendation for Researchers: To alleviate uncertainty, an effort to win over small business managers to IOS over the internet must encompass accessible information, security provisions, low-cost product, simple interfaces, and system adaptability to existing provisions in the IOS network. The uncertainty perspective has not been tested extensively empirically, especially not in the context of technology adoption, and needs further investigation. Future Research: Future research could explore the uncertainty construct in the context of IOS among different size businesses http://www.informingscience.org/Publications/5027 uncertainty perspective IOS SME small business technology adoption IT-enabled supply chains electronic commerce eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2022-11-05 25 183 196 5035 article Abubakar Sadiq Muhammad sadiqunmohd@gmail.com Muesser Nat mnat@ciu.edu.tr Aim/Purpose: Nigeria’s university education goes through incessant strikes by the Academic Staff Union of Universities (ASUU). This strike has led to shared emotion on micro-blogging sites like Twitter. This study analyzed selected historical tweets from the “ASUU” to understand citizens’ opinions. Background: The researchers conducted sentiment analysis and topic modelling to understand Twitter users’ opinions on the strike. Methodology: The researchers used the Valence Aware Dictionary for Sentiment Reasoning (VADER) technique for sentiment analysis, and the Latent Dirichlet allocation (LDA) was used for topic modelling. A total of 10,000 tweets were first extracted for the study. After data cleaning, 1323 tweets were left. Contribution: To the researcher’s best knowledge, no published study has presented a sentiment analysis on the topic of the ASUU strike using the Twitter dataset. This research will fill this gap by providing a sentiment analysis and drawing out subjects by exploring the tweets on the phrase “ASUU.” Findings: The sentiment analysis result using VADER returned 567 tweets as ‘Negative,’ with the remaining 544 and 212 categorized as Positive and Neutral. The result of the LDA returned six topics, all comprising seven keywords. The topics were the solution to the strike, ASUU strike effect, strike Call-off, appeal to ASUU, student protest and student appeal. Recommendation for Researchers: Researchers can use this study’s findings to compare with other contexts of opinion mining. Practitioners may also use the research to understand better the attitudes of their staff and students about the strikes to create actionable solutions before the suspension of the strike. Future Research: Future studies can collect information from other social networking and blogging sites. http://www.informingscience.org/Publications/5035 social media ASUU strike opinion mining sentiment analysis topic modeling Twitter eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-12-31 24 .i iii 4680 article Eli Cohen InformingScience@Comcast.net Table of Contents for Volume 24 of Informing Science: The International Journal of an Emerging Transdiscipline, 2021 http://www.informingscience.org/Publications/4680 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-04-30 24 001 018 4752 article Vladimir Mokiy vmokiy@yandex.ru Tatiana Lukyanova luktania@mail.ru Aim/Purpose: The article is designed to contradict the existing opinion that “transdisciplinarity is a marginal direction of contemporary science.” Background: The difficulties of implementing transdisciplinarity into science and education are connected with the fact that its generally accepted definition, identification characteristics, and methodological features are still missing. In order to eliminate these disadvantages of transdisciplinarity, its prime cause and initial idea had to be detected. Then an attempt was made to analyze correspondence of the existing opinions about transdisciplinarity with the content of its prime cause and initial ideas. Methodology: The bibliometric content analysis of the literature reviews on the subject of transdisciplinary was used in order to determine correspondence of the opinions about transdisciplinarity with the meaning of its prime cause and initial ideas, as well as to generalize these opinions. This method allowed detecting and classifying opinions into 11 groups including 39 stereotypes of transdisciplinarity. For substantiation of transdisciplinary approaches consistency with the approaches of the contemporary science C.F. Gauss random variables normal distribution was used. The “Gauss curve” helped to show the place of transdisciplinary and systems transdisciplinary approaches in the structure of academic and systems approaches. The “Gauss curve” demonstrated the step-by-step broadening of the scientific worldview horizon due to sequential intensification of synthesis, integration, unification, and generalization of the disciplinary knowledge. Contribution: Based on rethinking the results from bibliometric content analysis of the literature reviews, the generalized definition of transdisciplinarity could be formulated, as well as the definition for the transdisciplinary and systems transdisciplinary approaches could be given. It was shown that transdisciplinarity is a natural stage for development of contemporary science and education, and the transdisciplinary approaches were capable to suggest the methods and tools to solve the complex and poorly structured problems of science and society. Findings: Many existing stereotypes of transdisciplinarity do not meet its prime cause and initial ideas. Such stereotypes do not have deep philosophic and theoretical substantiation, as well as not suggesting the transdisciplinary methods and tools. Thus, the authors of such stereotypes often claim them to be transdisciplinary or suggest perceiving them as transdisciplinarity. This circumstance contributed to the fact that many disciplinary scientists, practitioners, and initiators of higher education view transdisciplinarity as a marginal direction of contemporary science. Based on the generalized definition of transdisciplinarity, as well as its prime cause and initial ideas, we managed to show that transdisciplinarity is presented in contemporary science in the form of two different approaches: the transdisciplinary approach and the systems transdisciplinary approaches. The objective of the transdisciplinary approach is ensuring science development at the stage of synthesis and integration of disciplinary knowledge. The objective of the systems transdisciplinary approach is ensuring solving of modern society problems using unification and generalization of disciplinary knowledge. Recommendation for Researchers: The researchers should consider that within the limits of the transdisciplinary approach the disciplinary specialists are managed. Within the limits of the systems transdisciplinary approach the disciplinary knowledge is managed. Thus, the transdisciplinary approach is efficient for organization and research with participation of the scientists of complementary disciplines. An example for such research can be a team of researchers of medical disciplines and complimentary disciplines from chemistry, physics, and engineering. The systems transdisciplinary approach is efficient for organization and performance of research with participation of scientists of non-complementary disciplines, for example, economics, physics, meteorology, chemistry, ecology, geology, and sociology. Future Research: In terms of the main initial idea, transdisciplinarity is formed as a global approach. The global approach should have a traditional institutional form: it should be a science discipline (meta-discipline) and have carriers with the transdisciplinary worldview. Training for such carriers can be organized by the universities within the limits of the systems transdisciplinarity departments and Centers of Systems Transdisciplinary Retraining for Disciplinary Specialists. Thus, it is reasonable to initiate discussion for the idea to reform the disciplinary structure of the universities considering creation of such departments and centers. http://www.informingscience.org/Publications/4752 transdisciplinarity transdisciplinary research systems approach systems transdisciplinary approach higher education eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-05-27 24 019 030 4789 article Rimvydas Skyrius Rimvydas.Skyrius@ef.vu.lt Svetlana Nemitko svetlana@streamline.lt Justina Valentukevičė justina.valentukevice@evaf.vu.lt Mindaugas Krutinis mindaugas.krutinis@evaf.vu.lt Norbert Andžej Gulbinovič andzej.gulbinovic@evaf.stud.vu.lt Marija Sanosianaitė marija.sanosianaite@evaf.stud.vu.lt Aim/Purpose. This paper, although conceived earlier than the emergence of COVID-19 pandemic, addresses the problem of informing agility as part of organizational agility that has become a rather important issue for business survival. Background. While the general issues of business informing, and business intelligence (BI) in particular, have been widely researched, the dynamics of informing, their ability to act in accord with changes in business and preserve the key competencies has not been widely researched. In particular, the research on BI agility is rather scattered, and many issues need to be clarified. Methodology. A series of in-depth interviews with BI professionals to determine relations between organizational agility and BI agility, and to round up a set of key factors of BI agility. Contribution. The paper clarifies a candidate set of key factors of BI agility and gives ground for future research in relations with areas like corporate and BI resilience and culture. Findings. The interview results show the relations between organizational changes, and changes in BI activities. BI has limited potential in recognizing important external changes but can be rather helpful in making decision choices and detecting internal problems. Lack of communication between business and IT people, existence of data silos and shadow BI, and general inadequacy of organizational and BI culture are the key factors impairing BI agility. Recommendations for Practitioners. There are practical issues around BI agility that need solving, like the reason-able coverage of standards or creation of a dedicated unit to care about BI potential. Recommendations for Researchers. The research is still in its starting phase, but additional interesting directions start to emerge, like relations between BI agility, resilience and corporate agility, or the role of informing culture and BI culture for BI agility issues. Impact on Society. Agile business, especially in times of global shocks like COVID-19, loses less value and has more chances to survive. Future Research. Most likely this will be focused on the relations between BI agility, resilience, and corporate agility, and the role of informing culture and BI culture for BI agility issues. http://www.informingscience.org/Publications/4789 organizational agility business intelligence agility eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-06-01 24 031 049 4800 article Eli Cohen InformingScience@Comcast.net The purpose of this paper is to provide a model to help explain why ideas about reality differ. Misinformation is an important topic that in the past several years has gained prominence. The author developed a model of informing. http://www.informingscience.org/Publications/4800 created realities misinformation disinformation fake news beliefs informing eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-06-13 24 051 082 4788 article Grandon Gill grandon@grandon.com Aim/Purpose: Labeling a journal as “predatory” can do great damage to the journal and the individuals that have contributed to it. This paper considers whether the predatory classification has outlived its usefulness and what might replace it. Background: With the advent of open access publishing, the term “predatory” has increasingly been used to identify academic journals, conferences, and publishers whose practices are driven by profit or self-interest rather than the advancement of science. Absent clear standards for determining what is predatory and what is not, concerns have been raised about the misuse of the label. Methodology: Mixed methods: A brief review of the literature, some illustrative case studies, and conceptual analysis. Contribution: The paper provides recommendations for reducing the impact of illegitimate journals. Findings: Current predatory classifications are being assigned with little or no systematic research and virtually no accountability. The predatory/not predatory distinction does not accommodate alternative journal missions. Recommendations for Researchers: The distinction between legitimate and illegitimate journals requires consideration of each journal’s mission. To serve as a useful guide, a process akin to that used for accrediting institutions needs to be put in place. Impact on Society: Avoiding unnecessary damage to the careers of researchers starting out. Future Research: Refining the initial classification scheme proposed in the paper. http://www.informingscience.org/Publications/4788 predatory journals peer review replication complexity scientific research eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-08-31 24 083 110 4857 article Susan E Morgan semorgan@miami.edu Soyeon Ahn s.ahn@miami.edu John L Bixby jbixby@med.miami.edu Tyler R Harrison harrison@miami.edu Jue Wang jue.wang@miami.edu Qian Huang q.huang2@umiami.edu Ashley Ryan arr174@miami.edu Bingjing Mao bxm644@miami.edu Alexandra Mosser amosser@med.miami.edu Aim/Purpose: There is ample evidence that team processes matter more than the characteristics of individual team members; unfortunately, very few empirical studies have examined communication process variables closely or tied them to team outcomes. Background: The University of Miami Laboratory for Integrated Knowledge (U-LINK) is a pilot funding mechanism that was developed and implemented based on empirically-established best practices established in the literature on the Science of Team Science (SciTS). In addition to addressing grand societal challenges, teams engaged in processes designed to enhance the process of “teaming”. This study uses the Inputs-Mediator-Outputs-Inputs (IMOI) model as a blueprint for an investigation into how team communication processes (shared communication, shared leadership, formal meetings, informal meetings) influence intermediary team processes (goal clarity, role ambiguity, process clarity, trust) and team outcomes (team satisfaction, team productivity). Methodology: Monte Carlo methodologies were used to explore both longitudinal self-report (survey of communication and team outcome variables) data and objective data on scholarly productivity, collected from seventy-eight members of eleven real-world intact interdisciplinary teams to explore how team communication processes affect team outcomes. Contribution: This study is among the few that centers communication practice and processes in the operationalization and measurement of its constructs and which provides a test of hypotheses centered on key questions identified in the literature. Findings: Communication practices are important to team processes and outcomes. Shared communication and informal meetings were associated with increased team satisfaction and increased research productivity. Shared leadership was associated with increased research productivity, as well as improved process and goal clarity. Formal meetings were associated with increased goal clarity and decreased role ambiguity. Recommendation for Researchers: Studying intact interdisciplinary research teams requires innovative methods and clear specification of variables. Challenges associated with access to limited numbers of teams should not preclude engaging in research as each study contributes to our larger body of knowledge of the factors that influence the success of interdisciplinary research teams. Future Research: Future research should examine different team formation and funding mechanisms and extend observation and data collection for longer periods of time. http://www.informingscience.org/Publications/4857 communication science of team science team processes shared leadership shared communication team outcomes eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-10-07 24 111 127 4872 article Junghyun Nam jnam@ung.edu Aim/Purpose: This study seeks to uncover the perceived quality factors of computer-mediated communication in business planning in which communication among teammates is crucial for collaboration. Background: Computer-mediated communication has made communicating with teammates easier and more affordable than ever. What motivates people to use a particular CMC technology during business planning is a major concern in this research. Methodology: This study seeks to address the issues by applying the concept of Information Product Quality (IPQ). Based on 21 factors derived from an extensive literature review on Information Product Quality (IPQ), an experimental study was conducted to identify the factors that are perceived as most relevant. Contribution: The findings in this study will help developers find a more customer-oriented approach to developing CMC technology design, specifically useful in collaborative work, such as business planning. Findings: This study extracted the three specific quality factors to use CMC technology in business planning: informational, physical, and service. Future Research: Future research will shed more light on the generality of these findings. Future studies should be extended to other population and contextual situations in the use of CMC. http://www.informingscience.org/Publications/4872 computer-mediated communication business planning instant messaging information product quality information quality eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-11-05 24 129 147 4878 article Cong Xu 4562450@qq.com Aim/Purpose: This article takes ‘tourism decision-making behavior’ as an entry point, and deeply analyzes the factors influencing the travel decision-making of Chinese ‘American Travel’ tourists and their degree of influence, so as to provide a reference for the development of Chinese outbound tourism. Background: With the development of China’s economy and the improvement in people’s level, the outbound tourism market of Chinese residents has developed rapidly. The United States has become an important tourism destination country for Chinese residents’ outbound tourism, and China has also become one of the important tourist source countries of American tourism. However, the rapid development of ‘American tourism’ has also caused competition problems in China’s tourism industry. For example, prices and tourism products have become a means of competition among tourism enterprises. As the main body of consumption, tourists’ decision-making behavior will be affected by various factors. Methodology: Drawing lessons from previous scholars’ research results on tourism decision-making behavior, the influencing factors of tourism decision-making behavior are summarized. A theoretical model and index system of factors influencing tourism decision-making behavior of Chinese residents ‘Travel in the United States’ are established, research hypotheses are put forward, questionnaire data are collected, and SPSS and Amos are used to analyze and verify the theoretical model. Contribution: This research expands the literature on topics related to tourism decision-making in research and practice. It establishes a theoretical model and index system for the factors that influence the decision-making behavior of Chinese residents’ ‘American Travel’ tourism. In addition, we propose countermeasures for tourism products, enterprises, and the government. Findings: Prior knowledge and external information have a positive influence on tourism perception and value perception, and a negative influence on risk perception. Risk perception value perception has a positive and negative influence on tourism decision-making and tourism motivation, respectively. Tourism motivation has a positive influence on tourism decision-making and has a positive impact. Recommendation for Researchers: According to the research conclusions of this article, the following counter-measures and suggestions are put forward from three aspects of tourism: products, enterprises, and governments. On the basis of existing tourism products, relevant operating companies should pay more attention to the upgrading and transformation of tourism, leisure and entertainment products in scenic spots to increase the willingness of tourists to travel. When considering corporate marketing and promotion plans, tourism companies operating related businesses should increase the weight of their marketing budgets in online marketing, increase investment in online marketing, and develop mobile applications that meet the preferences of Chinese residents in the United States. Do a good job in the timely publication of safety reminders and local information. Safety is an important foundation for tourism development and the core concern of many tourists. Future Research: Due to the important research on the impact of tourism activities, the influencing factors are many and complex, and the psychological process of tourism decision-making is carried out directly. There are still unconsidered factors that need to be studied in depth. In the future, it is possible to compare multiple resource-featured themes, and increase the characteristics of potential tourists, and the factors affecting the selection behavior of regional cultural tourists, and so forth, in order to make the research more applicable and practical instructive significance. http://www.informingscience.org/Publications/4878 tourism decision; influencing factors; structural equation eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2021-11-28 24 149 161 4882 article Gaetano R Lotrecchiano glotrecc@gwu.edu Marie K Norman mkn17@pitt.edu Aim/Purpose: In this paper we propose an ecosystem for translational learning that combines core learning principles with a multilevel construct that embraces the tenets of translational research, namely, teaming, translating, and implementing. The goal of the paper is to argue that knowledge of learning sciences is essential at the individual, team, and organizational levels in the translational science enterprise. Background: The two decades that we can now call the translational era of health and medicine have not been without challenges. Many inroads have been made in navigating how scientific teaming, translating knowledge across the health spectrum, and implementing change to our health systems, policies, and interventions can serve our changing global environment. These changes to the traditional health science enterprise require new ways of understanding knowledge, forging relationships, and managing this new tradition of science. Competency requirements that have become important to the enterprise are dependent on a deep understanding about how people learn as individuals, in teams, and within organizations and systems. Methodology: An individual, team, and organizational conceptual framework for learning in translational ecosystems is developed drawing on the learning science literature, a synthesis of 9 key learning principles and integrated with core competencies for translational science. Contribution: The translational learning ecosystem is a means by which to understand how translational science competencies can be reinforced by core learning principles as teaming, translating, and implementation intersect as part of the translational science enterprise. Findings: This paper connects learning science to tailored principles in a simplified way so that those working translational science with less knowledge of theories of learning and pedagogy may be able to access it in a clear and concise way. Recommendation for Researchers: This paper provides a framework for researchers who engage in the education of translational scientists as well as those who are charged with training new scientists in an emerging field critical to health and medicine. Future Research: The translational ecosystem described can serve to expand how teaching and learning impact scientific advances. In addition, it serves as a means in which to understand the impact of learning on micro, meso, and macro levels. http://www.informingscience.org/Publications/4882 ecosystem pedagogy team science implementation translation learning sci-ence eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-26 23 .i iii 4498 article Eli Cohen elibcohen@gmail.com Table of Contents for Volume 23 of Informing Science: The International Journal of an Emerging Transdiscipline, 2020. http://www.informingscience.org/Publications/4498 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-27 23 001 023 4493 article Jose O De Sordi OSDESORDI@GMAIL.COM Manuel Meireles meireles@faccamp.br Luis Hernan Contreras Pinochet luis.hernan@unifesp.br Carlos Francisco Bitencourt Jorge bitencourt@gmail.com Marcia Azevedo marciacarvalhoazevedo@gmail.com Aim/Purpose: To discuss the Design Science Research approach by comparing some of its canons with observed practices in projects in which it is applied, in order to understand and structure it better. Background: Recent criticisms of the application of the Design Science Research (DSR) approach have pointed out the need to make it more approachable and less confusing to overcome deficiencies such as the unrealistic evaluation. Methodology: We identified and analyzed 92 articles that presented artifacts developed from DSR projects and another 60 articles with preceding or subsequent actions associated with these 92 projects. We applied the content analysis technique to these 152 articles, enabling the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of activities performed and the types of artifacts involved. Contribution: The content analysis of these 152 articles enabled the preparation of network diagrams and an analysis of the longitudinal evolution of these projects in terms of the activities and types of artifacts involved. Evidence was found of a precedence hierarchy among different types of artifacts, as well as nine new opportunities for entry points for the continuity of DSR studies. Only 14% of the DSR artifacts underwent an evaluation by typical end users, characterizing a tenth type of entry point. Regarding the evaluation process, four aspects were identified, which demonstrated that 86% of DSR artifact evaluations are unrealistic. Findings: We identified and defined a set of attributes that allows a better characterization and structuring of the artifact evaluation process. Analyzing the field data, we inferred a precedence hierarchy for different artifacts types, as well as nine new opportunities for entry points for the continuity of DSR studies. Recommendation for Researchers: The four attributes identified for analyzing evaluation processes serve as guidelines for practitioners and researchers to achieve a realistic evaluation of artifacts. Future Research: The nine new entry points identified serve as an inspiration for researchers to give continuity to DSR projects. http://www.informingscience.org/Publications/4493 design science evaluation process artifact type entry point artifact eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-03-31 23 025 046 4530 article Bob Travica btravica@umanitoba.ca Aim/Purpose: The research problem of this study refers to the manner in which old and new mass media represented the significant social development surrounding two crashes of the Boeing 737 MAX airplane. Methodology: The study follows a qualitative case study methodology based on a sample of newspaper articles, TV programming, specialized technical publications, Twitter posts, and Facebook content. Contribution: The study contributes to understanding specifics and differences in representing extraordinary socio-economic events by different types of media. Findings: Key findings are that these media have constructed different realities surrounding the tragic events and exhibited informing distortions to different degrees. Recommendations for Practitioners: Practical implications of this study are relevant for the institutional and individual clients of informing with regard to selecting appropriate media for use. There are also implications for informers with regard to reducing distortions in informing. Recommendation for Researchers: Social media could be a channel for alternative learning rather than manipulation. Mainstream media were confirmed to be a loudspeaker for authorities as postulated in critical media research, and analytical media provided influential, deeper technical analysis. Future Research: As the Boeing case unfolds, it would be interesting to investigate any evolution in mediated realities. http://www.informingscience.org/Publications/4530 informing distortion fake news fact truth Boeing 737 MAX mainstream media social media explanatory journalism media relations informing power eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-05-05 23 047 076 4528 article Grandon Gill grandon@grandon.com Tommy R Gill thomasgill@mail.usf.edu Aim/Purpose: Use of the term “rigor” is ubiquitous in the research community. But do we actually know what it means, and how it applies to transdisciplinary research? Background: Too often, rigor is presumed to mean following an established research protocol scrupulously. Unfortunately, that frequently leads to research with little or no impact. Methodology: We identify a sample of 62 articles with “rigor” in the title and analyze their content in order to capture the range of perspectives on rigor. We then analyze how these findings might apply to informing science. Contribution: This paper offers an approach to defining rigor that is theory based and appropriate for transdisciplinary research. Findings: Rigor definitions tend to fall into one of two categories: criteria-based and compliance-based. Which is appropriate depends on the research context. Even more variation was found with respect to relevance, which is often used as a catch-all for research characteristics that aren’t associated with rigor. Recommendations for Practitioners: Recognize that when researchers are referring to rigor and relevance, they of-ten mean these to apply to other researchers rather than to practice. When funding research, it is important to understand who the rigor and relevance are directed towards. Recommendations for Researchers: When using the term “rigor”, think carefully about which meaning is intended and be transparent about that meaning in your writing. Impact on Society: A great deal of public money is invested in achieving research rigor. Society should be aware of what it is buying with that funding. Future Research: Developing a better understanding of research fitness and the factors that contribute to it. http://www.informingscience.org/Publications/4528 rigor relevance resonance interdisciplinary transdisciplinary research eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-05-16 23 077 087 4551 article Holger Schumann holger.schumann@dlr.de Dominik Engelhardt Dominik.Engelhardt@dlr.de Axel Berres Axel.Berres@dlr.de Tilman Stehr tilman-stehr@gmx.de Aim/Purpose: Although a literature review is the fundamental base for any research, it is often considered tedious and conducted with a lack of methodology and rigor. The paper presents a method for systematically searching and screening literature using modern search technologies. The method focuses on minimizing the amount of manual screening by employing the references among papers. Background: A method to select quality literature effectively using modern search technologies is presented and evaluated. Methodology: The method starts with a keywords search in which the most suitable keywords are identified. In the backward search, promising resources are collected based on the keywords and their reference sections are searched for duplicates to find often cited basic literature. Then, the forward search identifies current literature that cites the basic sources. Contribution: Modern search technologies have the potential to improve the effectiveness of the use of information channels significantly and thus of traditional literature searches. Findings: The selection method was applied to the field of literature review itself and to the field of functional modelling. In both cases, relevant literature was identified within a surprisingly short time. Recommendation for Researchers: Literature reviews should be done systematically by using modern search technologies. Future Research: The presented method may be adapted according to the evolution of search technologies. The tool support for the automated extraction of references should be improved and a quantitative evaluation of the method in comparison to traditional reviews may foster the findings. http://www.informingscience.org/Publications/4551 literature review systematic literature review review guide research review education research information systems literature eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-09-13 23 089 106 4629 article Eli Cohen InformingScience@Comcast.net Aim/Purpose: The paper introduces new concepts including cognitive mapping, cognitive message processing, and message resonance. Background: This paper draws upon philosophy, psychology, physiology, communications, and introspection to develop the theory of cognitive mapping. Methodology: Theory development Contribution: The theory offers new ways to conceptualize the informing process. Findings: Cognitive mapping has a far-reaching explanatory power on message resonance. Recommendation for Researchers: The theory of cognitive mapping offers a new conceptualization for those exploring the informing process that is ripe for exploration and theory testing. Future Research: This paper forms a building block toward the development of a fuller model of the informing process. http://www.informingscience.org/Publications/4629 cognitive mapping cognitive message processing informing science message resonance constructed reality eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-09-25 23 107 118 4635 article Sonja H Bickford bickfordsh@unk.edu Michelle Warren warrenm2@unk.edu Aim/Purpose: There is a need to find a way to utilize narrative storytelling in film to make students more aware of the impacts of global problems and how they are perceived. Background: Two films from the year 2015 from two very different places in the world explore the encroachment and secondary effects of urban civilization upon indigenous cultures. Methodology: An interpretive, qualitative, methodology was used in addressing and discussing the use of these two films as a persuasive communication teaching aid. Contribution: This paper offers an approach to using narratives of films on indigenous issues in education to inform students about real-world issues and the wide impacts of those on various cultures and populations. Findings: Through the discussion of the two films, we suggest that using films with indigenous themes is beneficial to a course curriculum in a variety of subjects from communication to history and politics, to help students visualize the problems at hand. Anecdotally, the authors note that students are more engaged and willing to discuss topics if they have watched films or clips that deal with those topics than if they have simply read about them. Recommendation for Researchers: Technology and use of visuals are used as teaching tools in a variety of fields. Film narratives can be used as a teaching tool in multiple fields and provide insight about a variety of ideas. Identifying films such as those with indigenous themes provides an example of how one film can bring up multiple, real-world, topics and through led discussion student reflection can potentially lead to self-insights and have lasting impacts. Future Research: Additional research and assessment can be done on the impact of teaching with films and their compelling story telling of issues, and what types of questions should be asked to maximize learning and the impact of film narratives. http://www.informingscience.org/Publications/4635 indigenous communication reflection education film urban development eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-11-18 23 119 145 4667 article Ulrich Schmitt schmitt@knowcations.org Grandon Gill grandon@grandon.com Aim/Purpose: As traditional Knowledge Management (KM) struggles to support the personal needs of knowledge workers in a new era of accelerating information abundance, we examine the shortcomings and put forward alternative scenarios and architectures for developing a novel Personal KM System (PKMS). Background: While prior publications focused on the complementing features compared to conventional dynamic KM models, our emphasis shifts to instantiating a flourishing PKMS community supported by a Digital Platform Ecosystem. Methodology: Design science research focusing on conceptual analysis and prototyping. Contribution: The PKMS concept advances the understanding of how digital platform communities may serve members with highly diverse skills and ambitions better to gainfully utilize the platform’s resources and generative potential in their personal and local settings. Findings: We demonstrate how the needs to tackle attention-consuming rising entropy and to benefit from generative innovation potentials can be addressed. Future Research: As this article has iteratively co-evolved with the preparing of a PKMS implementation, business, and roll-out plan, the prototype’s testing, completion, and subsequent migration to a viable system is of primary concern. http://www.informingscience.org/Publications/4667 knowledge management personal knowledge management design science research social digital curation informing system digital platform ecosystem generativity entropy eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-12-21 23 147 163 4672 article Irene Bernhard irene.bernhard@hv.se Anna Karin Olsson anna-karin.olsson@hv.se Aim/Purpose: The aim is to explore the informing flows framework as interactions within a PhD education practicing a work-integrated learning approach in order to reveal both the perspectives of industrial PhD students and of industry. Background: An under-researched field of university-industry collaboration is explored revealing both the perspectives of industrial PhD students and of industry. Methodology: Qualitative methods were applied including interviews and document studies. In total ten semi-structured interviews in two steps were conducted. The empirical context is a Swedish PhD program in informatics with a specialization in work-integrated learning. Contribution: By broadening the concept of work-integrated learning, this paper contributes empirical results on benefits and challenges in university-industry collaboration focusing on industrial PhD students and industry by applying the informing flows framework. Findings: Findings expose novel insights for industry as well as academia. The industrial PhD students are key stakeholders and embody the informing flows between practice and university and between practice and research. They are spanning boundaries between university and industry generating continuous opportunities for validation and testing of empirical results and models in industry. This may enable increased research quality and short-lag dissemination of research results as well as strengthened organizational legitimacy. Recommendation for Researchers: Academia is recommended to recognize the value of the industrial PhD students’ pre-understanding of the industry context in the spirit of work-integrated learning approach. The conditions for informing flows between research and practice need to continuously be maintained to enable short-term societal impact of research for both academia and industry. For practitioners: This explorative study show that it is vital for practice to recognize that challenges do exist and need to be considered to strengthen industrial PhD pro-grams as well as university-industry collaborations. Additionally, it is of importance to formalize a continuously dissemination of research in the industries. Future Research: Future international and/or transdisciplinary research within this field is encouraged to include larger samples covering other universities and a mix of industrial contexts or comparing industrial PhD students in different phases of their PhD education. http://www.informingscience.org/Publications/4672 university-industry collaboration industrial PhD education work-integrated learning third-cycle education informing flows framework eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-12-30 23 165 209 4674 article William F Murphy bmurphy@creativeresearchllc.com Aim/Purpose: The Informing Science Institute (ISI) is an informing system, designed using informing science principles, for the express purpose of informing researchers who study problems related to informing. This paper describes the ISI as an applied instance of an informing system and analyzes the channels, informers, and clients of the ISI. Background: This paper begins with a brief overview of the current activity of the ISI, as well as an introduction to informing science philosophy and an explanation of the need for a transdiscipline. The ISI is a non-profit organization that provides several informing channels, including 13 open-access, peer-reviewed journals, as well as conferences, books, and outreach activities. Methodology: Statistical analyses of the authors, institutions, and countries of origin were conducted for every ISI paper published between 1998 and December of 2019. Additionally, interviews were conducted with 5 current and former Editors-in-Chief of ISI journals. Contribution: This paper provides a current description and analysis of the ISI informing system’s channels, informers, and clients. Findings: The ISI has published over 4,100 articles by over 4,500 authors from over 600 universities. Statistical analyses of articles published in ISI journals demonstrated that the ISI is characterized in part by robust international participation, with significant participation by authors from countries that have been traditionally under-represented in academic publications. The ISI achieved these outcomes through the use of the philosophical principles and design guidelines for informing science. http://www.informingscience.org/Publications/4674 Informing Science Institute open access information systems transdiscipline informing systems eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-04-11 22 . i iii 4315 article Eli Cohen elibcohen@gmail.com Table of Contents for Volume 22 of Informing Science: the International Journal of an Emerging Transdiscipline, 2019 http://www.informingscience.org/Publications/4315 informing science InfoSci table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-04-11 22 001 018 4264 article Ulrich Schmitt schmitt@knowcations.org Grandon Gill grandon@grandon.com Aim/Purpose: In a world of rapidly expanding complexity and exponentially increasing data availability, IT-based knowledge management tools will be needed to manage and curate available information. This paper looks at a particular tool architecture that has been previously proposed: The Personal Knowledge Management System (PKMS). The specific focus is on how the proposed architecture conforms to design science principles that relate to how it is likely to evolve. Background: We first introduce some recent informing science and design science research frameworks, then examine how the PKMS architecture would conform to these. Methodology: The approach taken is conceptual analysis. Contribution: The analysis provides a clearer understanding of how the proposed PKMS would serve the diverse-client ambiguous-target (DCAT) informing scenario and how it could be expected to evolve. Findings: We demonstrate how the PKMS informing architecture can be characterized as a “social machine” that appears to conform to a number of principles that would facilitate its long-term evolution. Future Research: The example provided by the paper could serve as a model future research seeking to integrate design science and informing science in the study of IT artefacts. http://www.informingscience.org/Publications/4264 knowledge management personal knowledge management system design sci-ence research design evolution informing system digital platform ecosystem fitness-utility-model generativity eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-04-19 22 019 030 4300 article Dimitar Grozdanov Christozov dchristozov@yahoo.com Katia Rasheva-Yordanova k.rasheva@unibit.bg Stefka Toleva-Stoimenova s_toleva@yahoo.com Aim/Purpose: The growing complexity of the business environment and business processes as well as the Big Data phenomenon has an impact on every area of human activity nowadays. This new reality challenges the effectiveness of traditional narrowly oriented professional education. New areas of competences emerged as a synergy of multiple knowledge areas – transdisciplines. Informing Science and Data Science are just the first two such new areas we may identify as transdisciplines. Universities are facing the challenge to educate students for those new realities. Background: The purpose of the paper is to share the authors’ experience in designing curriculum for training bachelor students in Informing Science as a concentration within an Information Brokerage major, and a master program on Data Science. Methodology: Designing curriculum for transdisciplines requires diverse expertise obtained by both academia and industries and passed through several stages - identifying objectives, conceptualizing curriculum models, identifying content, and development pedagogical priorities. Contribution: Sharing our experience acquired in designing transdiscipline programs will contribute to a transition from a narrow professional education towards addressing 21st-century challenges. Findings: Analytical skills, combined with training in all categories of so-called “soft skills”, are essential in preparing students for a successful career in a transdiciplinary area of activities. Recommendations for Practitioners: Establishing a working environment encouraging not only sharing but close cooperation is essential nowadays. Recommendations for Researchers: There are two aspects of training professionals capable of succeeding in a transdisciplinary environment: encouraging mutual respect and developing out-of-box thinking. Impact on Society: The transition of higher education in a way to meet current challenges. Future Research The next steps in this research are to collect feedback regarding the professional careers of students graduating in these two programs and to adjust the curriculum accordingly. http://www.informingscience.org/Publications/4300 informing science data science transdiscipline education eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-05-27 22 031 044 4279 article Dilip Singh Sisodia dssisodia.cs@nitrr.ac.in Aim/Purpose: The aim of this paper is to propose an ensemble learners based classification model for classification clickbaits from genuine article headlines. Background: Clickbaits are online articles with deliberately designed misleading titles for luring more and more readers to open the intended web page. Clickbaits are used to tempted visitors to click on a particular link either to monetize the landing page or to spread the false news for sensationalization. The presence of clickbaits on any news aggregator portal may lead to an unpleasant experience for readers. Therefore, it is essential to distinguish clickbaits from authentic headlines to mitigate their impact on readers’ perception. Methodology: A total of one hundred thousand article headlines are collected from news aggregator sites consists of clickbaits and authentic news headlines. The collected data samples are divided into five training sets of balanced and unbalanced data. The natural language processing techniques are used to extract 19 manually selected features from article headlines. Contribution: Three ensemble learning techniques including bagging, boosting, and random forests are used to design a classifier model for classifying a given headline into the clickbait or non-clickbait. The performances of learners are evaluated using accuracy, precision, recall, and F-measures. Findings: It is observed that the random forest classifier detects clickbaits better than the other classifiers with an accuracy of 91.16 %, a total precision, recall, and f-measure of 91 %. http://www.informingscience.org/Publications/4279 authentic news; clickbaits; ensemble learning; natural language processing; performance measures eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-08-08 22 045 053 4407 article Francisco López-Cantos flopez@uji.es Aim/Purpose: In this paper, we address the theoretical challenges today’s scientific community faces to precisely draw lines between true and false pictures. In particular, we focus on problems related to the hidden wonders of science and the shiny images produced for scientific papers or to appeal to wider audiences. Background: As rumors (hoaxes) and false news (fake news) explode across society and the current network, several initiatives using current technology have been launched to study this phenomena and limit the social impact. Over the last two decades, inappropriate scientific behavior has raised more questions about whether some scientific images are valid. Methodology: This work is not about analyzing whether today’s images are objective. Instead, we advocate for a general approach that makes it easier to truly believe in all kinds of knowledge, scientific or otherwise (Goldman, 1967; Goldman, & Olson, 2009). This need to believe is closely related to social order (Shapin, 1994). Contribution: We conclude that we must ultimately move away from older ideas about truth and objectivity in research to broadly approach how science and knowledge are represented and move forward with this theoretical approach when communicating science to the public. Findings: Contemporary visual culture suggests that our world is expressed through images, which are all around us. Therefore, we need to promote the reliability of scientific pictures, which visually represent knowledge, to add meaning in a world of complex high-tech science (Allamel-Raffin, 2011; Greenberg, 2004; Rosenberger, 2009). Since the time of Galileo, and today more than ever, scientific activity should be understood as knowledge produced to reveal, and therefore inform us of, (Wise, 2006) all that remains unexplained in our world, as well as everything beyond our senses. Recommendation for Researchers: In journalism, published scientific images must be properly explained. Journalists should tell people the truth, not fake objectivity. Today we must understand that scientific knowledge is mapped, simulated, and accessed through interfaces, and is uncertain. The scientific community needs to approach and explain how knowledge is represented, while paying attention to detail. Future Research: In today’s expanding world, scientific research takes a more visual approach. It is important for both the scientific community and the public to understand how the technologies used to visually represent knowledge can account for why, for example, we know more about electrons than we did a century ago (Arabatzis, 1996), or why we are beginning to carefully understand the complexities and ethical problems related to images used to promote knowledge through the media (see, i.e., López-Cantos, 2017). http://www.informingscience.org/Publications/4407 fake pictures scientific fraud scientific pictures public understanding of sci-ence science communication science journalism eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-09-17 22 055 072 4431 article Vladimir V.S. Mokiy vmokiy@yandex.ru Aim/Purpose: Absence of new scientific approaches and specialists (generalists), who professionally obtain such approaches, is one of the main reasons for an ineffective solution of complex multifactor problems of the modern society. Background: The article briefly describes the concept of systems transdisciplinary integration of knowledge of different scientific disciplines. Also, it shows an opportunity to use this concept education of generalists in higher education. Methodology: The article highlights the idea of gestalt of knowledge, which is based on systems transdisciplinary model of spatial unit of order. It describes the basis of gestalt-of-the-one and gestalt-of-the-whole. Also, it explains the differences and practical capabilities of holist generalists and unicentrist generalists. Contribution: Loss of identificational attributes can take place during the process of integration of knowledge of different scientific disciplines. The article shows how to avoid this complication within a systems transdisciplinary approach. Findings: Each type of fundamental knowledge has its own carriers, such as scientists and specialists. Therefore, direct interaction of people-carriers of fundamental knowledge has limited potential. Presently, a more practical importance is the interaction between scientists and specialists within the zones of hybridization of fundamental knowledge. Hybridization is the process of systematization of knowledge within specialized systems transdisciplinary models of unit of order. A specialist generalist’s professional work is to organize scientific research, systemise knowledge of different scientific disciplines, make necessary conclusions, and suggest optimal solution for complex multifactor problems. Therefore, generalists should be considered as an important move towards the solution of complex multifactor problems of modern society. Recommendation for Researchers: A new scientific approach is a way of widening scientific worldview. A new approach in inorganic chemistry made it possible to create the Mendeleev periodic table of elements. Owing to this table, researchers were able to learn the characteristics and attributes of chemical elements, which can be found in nature. Also, models of systems transdisciplinary approach allow the discovery of new elements and relations of complex multifactor problems. Its absence would, however, hinder the research and the problem description. Future Research: The article justifies that preparation of generalists in higher education is one of the main peculiarities of universities of the third generation. Therefore, it might be desirable for organizers of higher education and university leaders to begin speculations regarding this quest, develop educational programs for generalists, and search for optimal forms and methods of solution. http://www.informingscience.org/Publications/4431 transdisciplinarity synthesis of knowledge generalists systems transdisciplinary approach eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2019-12-22 22 073 090 4480 article Vladimir S. Mokiy vmokiy@yandex.ru Aim/Purpose: The year 2020 marks the 50th anniversary of the first official definition of the term “transdisciplinarity.” This paper focuses on a critical analysis of the development of modern transdisciplinarity since its inception. Background: The article presents two main directions for the development of transdisciplinarity. It also shows its identification features, strengths, and weaknesses, as well as the significant role transdisciplinarity plays in science and education. Methodology: The methodology employed in this article is a content analysis of resolutions of international forums as well as articles on transdisciplinarity published from 1970 to 2019. Contribution: For one reason or the other, several of these authors did not quote the opinions of the original authors of transdisciplinarity. The subsequent use of those articles by other authors thus posed some ambiguities about the place and role of transdisciplinarity in science and education. The advent of e-databases has made it possible to access the original forum articles. This further made it possible to refine the original content of the term “transdisciplinarity” and to trace its development without mixing it with vague opinions. Based on these findings, the perception of transdisciplinarity as a marginal trend in science and education could be eliminated. Findings: This paper shows how modern transdisciplinarity is developing into two main directions: transdisciplinarity in science as well as transdisciplinarity in education. These orientations have individual goals and objectives. The transdisciplinarity of scientific research helps to complete the transformation of the potential for interdisciplinary interaction and the integration of disciplines. Whereas, in education, transdisciplinarity (meta-discipline) is about developing an international standard for transdisciplinary education and also describing the content of transdisciplinary competence for students of diverse disciplines at all levels of higher education (bachelor’s, master’s and postgraduate studies). Recommendation for Researchers: Transdisciplinary research involves the interaction of people with disciplinary knowledge plus a degree of scientific outlook. Since disciplinary knowledge domains remain in their disciplinary boxes, it is, therefore, advisable to generalize disciplinary knowledge rather than force them to interact. This is the basis for proposing the systems transdisciplinary approach—which provides a methodology for unifying and generalizing disciplinary knowledge. Future Research: As the research shows, the organizers of modern international forums do not take into account the division of transdisciplinarity development trends. To increase the effectiveness and significance of such forums, it is necessary to return to the practice of organizing special international forums on the transdisciplinarity of science and that of education. http://www.informingscience.org/Publications/4480 transdisciplinarity transdisciplinary research systems transdisciplinary ap-proach higher education unicentrism Russian school of transdisciplinarity eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-09 22 091 094 4485 article Eli Cohen InformingScience@Comcast.net Aim/Purpose: This series of papers on Fake News: Bias, Misinformation, and Disinformation examines fake news from an Informing Science perspective. As such, the papers in this special series make novel con-tributions to the field by viewing the issues through the transdisciplinary lens of informing science. This series makes no claim to summarize or review all that has been written on this topic. Rather it provides a glimpse into this immense literature from the perspective of informing science. Background: It is one small step on the 20+ year quest by the editor to explore better ways to inform from an approach that transcends academic disciplines (Cohen, 1998, 1999) and a 20 year quest to under-stand the issues of how we become misinformed and disinformed (Cohen, 2000). The series pro-vided here gains thrust for two reasons. One reason is that the study has become more popular with academicians due to the blathering of politicians and the attacks by national powers on de-mocracy. The second reason is more mundane; without the deadline that the end-of-year affords, the papers would become richer, fuller, and more detailed. Recommendation for Researchers: Taken together, the results brought forth across these papers is truly scary. Due to their biases, when presented with information, people can and do generate their own misinformation. People tend to communicate such misinformation that they self-generated with others in groups sharing their beliefs, strengthening the misinformation by some and silencing those do not share these thoughts. This process creates divisions in society. How can humanity seek wise decisions when we cannot agree even upon the facts. We see the results of this syndrome in Operation SIG and cur-rent divisions within politics in the West. http://www.informingscience.org/Publications/4485 informing science bias misinformation disinformation propaganda fake news eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-09 22 095 114 4486 article Eli Cohen InformingScience@Comcast.net Aim/Purpose: Many disciplines have addressed the issue of “fake news.” This topic is of central concern to the transdiscipline of Informing Science, which endeavors to understand all issues related to informing. This paper endeavors to build a model to address not only fake news but all informing and misin-forming. To do this, it explores how errors get into informing systems, the issue of bias, and the models previously created to explore the complexity of informing. That is, this paper examines models and frameworks proposed to explore informing in the presence of bias, misinformation, disinformation, and fake news from the perspective of Informing Science. It concludes by intro-ducing a more nuanced model that considers some of the topics explored in the paper Methodology: The issue of informing and disinforming crosses many disciplinary perspectives. Each discipline puts on blinders that limit what it can contribute to its understanding of research topics. It is like trying to study a forest by seeing only the trees and not the animals or the animals but not the trees. Research perspectives that cross disciplinary boundaries are needed to more fully understand complex phenomena. This paper lays out some fundamental cross-disciplinary issues including how errors find their way into informing systems, the issue of bias, and the frameworks used to model this phenomenon. Contribution: The paper introduces the competition framework for understanding informing and misinforming. This framework addresses many of the limitation of prior frameworks. Future Research: The concluding framework offers insights into understanding informing and disinforming. But this framework offers no insights into other forms of informing that are less well explored, such as song, dance, physical art, and architecture. Likewise, this framework does nothing to help the un-derstanding of informing via fideism or psychedelic revelation. http://www.informingscience.org/Publications/4486 informing science bias misinformation disinformation propaganda fake news eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-09 22 115 136 4265 article Grandon Gill grandon@grandon.com The present paper identifies a variety of conceptual schemes that have emerged within informing science and consider how they might be applied to fake news. The paper begins with a brief overview of fake news. This is followed presentations of various models identified in a two-volume survey of informing science. The models presented include those dealing with extrinsic (i.e., environmental) complexity, informing transitions, and individual resonance. The potential implications for informing science research into fake news are discussed and questions that may warrant future research are raised. The paper then concludes by describing what current informing science may already be telling us about fake news, its spread and its influence. Through its analysis of the fake news and informing science literature, a number of questions are identified where informing science can possibly contribute to our understanding of fake news. These include: • Does fake news need to disinform its clients if it is to be effective? • Why are certain groups of individuals particularly credible when it comes to communicating fake news? • Under what circumstances will the emotional and social motivations to accept fake news exceed our concern for its truth? • How does the nature of the fake news content and objectives impact the disinformer’s choice of channel? • What are the circumstances under which radically transitional fake news might have an impact? http://www.informingscience.org/Publications/4265 fake news informing science extrinsic complexity conceptual scheme eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-09 22 137 156 4487 article Eli Cohen InformingScience@Comcast.net Aim/Purpose: The paper provides general background on the who, what, when, and why of deception. Methodology: It uses a naturalistic observational methodology. Whenever possible, the paper provides examples. Contribution: The research cited in this paper comes from a large variety of disparate fields of study. As such, it is one of the few multidisciplinary attempts to understand de-ception Findings: The research uncovered general principles for conducting deception and tactics that support these principles. Recommendation for Researchers: The authors hope that this paper’s finding will shed light on the topic of fake news as well as misinformation and disinformation, particularly in politics. http://www.informingscience.org/Publications/4487 deception principles tactics fake news eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2020-01-09 22 157 182 4488 article Eli Cohen InformingScience@Comcast.net Elizabeth (Betty) Boyd BettyBoyd@informingscience.org Aim/Purpose: The paper explores the success of KGB Operation SIG to incite hatred and create chaos against a democracy Background: About 50 years ago, the KGB created the means to create upheaval in the Mid-dle East. This paper explores one such campaign and its successor campaign, revealing some disinformation techniques in use today. Methodology: The paper brings together literature from many fields in its exploration of Op-eration SIG. Contribution: The paper reveals the role of the KGB in the PLO’s campaign to replace Israel with an Arab Muslim state and the PLO and Hamas’s successor disinformation mechanisms Findings: Operation SIG is an early and extremely successful example of the Sovi-et/Russian campaign to disrupt democracy. Recommendation for Researchers: The recurrence of antisemitism, particularly on campus, can be attributed to Operation SIG. http://www.informingscience.org/Publications/4488 informing science bias misinformation disinformation propaganda fake news deception Russia Operation SIG PLO Nazi Israel KGB eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-03-26 21 . i iii 3994 article Eli Cohen InformingScience@Comcast.net Table of contents for Volume 21 of Informing Science: the International Journal of an Emerging Transdiscipline, 2018. http://www.informingscience.org/Publications/3994 Informing Science table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-03-26 21 001 018 3977 article Grandon Gill grandon@grandon.com Ronald K. Satterfield rsatterf@usf.edu Matthew Mullarkey mmullarkey@usf.edu Aim/Purpose: Provides a theoretical model as to where we should source our information as the environment becomes more complex. Background: Develops a theoretical model built on extrinsic complexity and offers a conceptual scheme relating to the relative value of different sources. Methodology: The paper is purely conceptual in nature. Contribution: Develops a model that could be tested relating to where clients should search for information. Findings: Arguments can be made that different environments warrant different priorities for informing sources. Recommendations for Practitioners: Assess how your sources of information match your perceived environment. Recommendation for Researchers: Consider developing research designs to test the proposed model. Impact on Society: Offers a new way of thinking about informing sources. Future Research: Develop propositions from the model that could be empirically tested in future research. http://www.informingscience.org/Publications/3977 Extrinsic complexity environment informing sources client informer eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-04-20 21 019 039 4015 article Ruti Gafni rutigafn@mta.ac.il Nim Dvir ndvir@albany.edu Aim/Purpose: This paper describes an empirical examination of how users’ willingness to disclose personal data is influenced by the amount of information provided on landing pages – standalone web pages created explicitly for marketing or advertising campaigns. Background: Provision of information is a central construct in the IS discipline. Content is a term commonly used to describe the information made available by a website or other electronic medium. A pertinent debate among scholars and practitioners relate to the behavioral impact of content volume: Specifically, does a greater amount of information elicit engagement and compliance, or the other way around? Methodology: A series of large-scale web experiments (n= 535 and n= 27,900) were conducted employing a between-subjects design and A/B testing. Two variants of landing pages, long and short, were created based on relevant behavioral theories. Both variants included an identical form to collect users’ information, but different amounts of provided content. User traffic was generated using Google AdWords and randomized between the page using Unbounce.com. Relevant usage metrics, such as response rate (called “conversion rate”), location, and visit time were recorded. Contribution: This research contributes to the body of knowledge on information provision and its effectiveness and carries practical and theoretical implications to practitioners and scholars in Information Systems, Informing Science, Communications, Digital Marketing, and related fields. Findings: Analyses of results show that the shorter landing pages had significantly higher conversion rates across all locations and times. Findings demonstrate a negative correlation between the content amount and consumer behavior, suggesting that users who had less information were more inclined to provide their data. Recommendations for Practitioners: At a practical level, results can empirically support business practices, design considerations, and content strategy by informing practitioners on the role of content in online commerce. Recommendation for Researchers: Findings suggest that the amount of content plays a significant role in online decision making and effective informing. They also contradict prior research on trust, persuasion, and security. This study advances research on the paradoxical relationship between the increased level of information and online decision-making and indicates that contrary to earlier work, not all persuasion theories‎ are ‎effective online. Impact on Society: Understanding how information drives behavior has implications in many domains (civic engagement, health, education, and more). This has relevance to system design and public communication in both online and offline contexts. Future Research: Using this research as a starting point, future research can examine the impact of content in other contexts, as well as other behavioral drivers (such as demographic data). This can lead to theoretical, methodological, and practical recommendations. http://www.informingscience.org/Publications/4015 consumer behavior information systems content strategy human computer interaction informing science user engagement ‎e-commerce ‎marketing decision making eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 041 050 4079 article Shalini Misra shalini@vt.edu Gaetano R Lotrecchiano glotrecc@gwu.edu Aim/Purpose: This is an introductory paper for the Special Series on transdisciplinary communication. It summarizes the various articles in the special series and raises questions for future investigation. http://www.informingscience.org/Publications/4079 transdisciplinary communication eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 051 074 4086 article Gaetano R Lotrecchiano glotrecc@gwu.edu Shalini Misra shalini@vt.edu Aim/Purpose: Transdisciplinarity is considered as a framework for understanding knowledge producing teams (KPTs). Features of transdisciplinary knowledge producing teams (TDKPTs) are provided using a complex adaptive systems (CAS) lens. TDKPT features are defined and linked to complexity theory to show how team participants might develop skills that more truly express complex adaptive conditions. Background: TDKPTs are groups of stakeholder participants tasked with producing knowledge across disciplinary, sectoral, and ecological boundaries. TDKPTs reflect components of complex adaptive systems (CAS) and exemplify how CAS behave and function. Methodology: The paper accesses literature from the Science-of-Team-Science (SciTS), complexity theory, and systems theory to construct a typology of the features of TDKPTs. Contribution: This paper provides a list of features developed from a diverse body of literature useful for considering complexity within TDKPTs. Findings: The paper proposes a series of features of transdisciplinary knowledge producing teams. In addition, the authors identify important skill building aspects needed for TDKPTs to be successful. Recommendations for Practitioners: The paper provides a framework by which team functioning can be considered and enhanced within TDKPTs. Recommendation for Researchers: The paper suggests categorical features of transdisciplinary teams for research on the collaborative processes and outcomes of TD teams. Future Research: Knowledge producing team members need to engage in theoretical, episte-mological, and methodological reflections to elucidate the dynamic nature of TD knowledge producing teams. Understanding how conflict, dissonance, and reciprocal interdependencies contribute to knowledge generation are key areas of future research and inquiry. http://www.informingscience.org/Publications/4086 transdisciplinarity knowledge producing teams complexity systems eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 075 106 4010 article Bethany K Laursen laursen3@msu.edu Aim/Purpose: Collaborative, interdisciplinary research is growing rapidly, but we still have limited and fragmented understanding of what is arguably the heart of such research—collaborative, interdisciplinary reasoning (CIR). Background: This article integrates neo-Pragmatist theories of reasoning with insights from literature on interdisciplinary research to develop a working definition of collaborative, interdisciplinary reasoning. The article then applies this definition to an empirical example to demonstrate its utility. Methodology: The empirical example is an excerpt from a Toolbox workshop transcript. The article reconstructs a cogent, inductive, interdisciplinary argument from the excerpt to show how CIR can proceed in an actual team. Contribution: The study contributes operational definitions of ‘reasoning together’ and ‘collaborative, interdisciplinary reasoning’ to existing literature. It also demonstrates empirical methods for operationalizing these definitions, with the argument reconstruction providing a brief case study in how teams reason together. Findings: 1. Collaborative, interdisciplinary reasoning is the attempted integration of disciplinary contributions to exchange, evaluate, and assert claims that enable shared understanding and eventually action in a local context. 2. Pragma-dialectic argument reconstruction with conversation analysis is a method for observing such reasoning from a transcript. 3. The example team developed a strong inductive argument to integrate their disciplinary contributions about modeling. Recommendations for Practitioners: 1. Interdisciplinary work requires agreeing with teammates about what is assertible and why. 2. To assert something together legitimately requires making a cogent, integrated argument. Recommendation for Researchers: 1. An argument is the basic unit of analysis for interdisciplinary integration. 2. To assess the argument’s cogency, it is helpful to reconstruct it using pragma-dialectic principles and conversation analysis tools. 3. To assess the argument’s interdisciplinary integration and participant roles in the integration, it is helpful to graph the flow of words as a Sankey chart from participant-disciplines to the argument conclusion. Future Research: How does this definition of CIR relate to other interdisciplinary ‘cognition’ or ‘learning’ type theories? How can practitioners and theorists tell the difference between true intersubjectivity and superficial agreeableness in these dialogues? What makes an instance of CIR ‘good’ or ‘bad’? How does collaborative, transdisciplinary reasoning differ from CIR, if at all? http://www.informingscience.org/Publications/4010 argumentation discourse interdisciplinary integration intersubjectivity transdisciplinary Toolbox eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 107 132 4012 article Chitvan Trivedi ctrivedi@gettysburg.edu Shalini Misra shalini@vt.edu Aim/Purpose: To understand the process of social change creation in social entrepreneurial ventures (SEVs), specifically emphasizing the role and nature of the communicative process in social change creation. Background: Drawing on data from seven SEVs from India and the US and employing a grounded theory methodology, this research scrutinizes the social change process and uncovers the role and characteristics of dialogue in this process. Methodology: Qualitative data was collected from seven social entrepreneurial organizations over a period of eight months from July 2011 to February 2012. Semi-structured interviews were conducted with a wide range of members within these social entrepreneurial organizations (n=27) with additional informal interviews with field workers and volunteers. Data from the semi-structured interviews and notes from observations were integrated with analyses of archival resources. Contribution: There is little scholarship about the process of social change creation and the necessary conditions to promote social change over time. Understanding the process of social change creation and the individual, interpersonal, and organizational conditions that facilitate the process is central to design of effective trans-sector TD problem solving ventures. This paper focuses on the process of social change creation in social entrepreneurial settings, specifically emphasizing the role and nature of the communicative process in social change creation. Findings: The reflections and experiences of the members of SEVs revealed that social entrepreneurship is a collective endeavor and this collective character is essential to its success. Collective organization and synergy, deep intra-organizational communication, and a conducive organizational context are critical for the creation of collective wisdom and knowledge networks for long-term collaborative community capacity building. Dialogue emerged as a central category linking the other categories to explain the process of social change creation. Organic organizational structure enables knowledge creation and integration through the process of organizational learning through deep and continuous social interaction, or dialogue. Recommendations for Practitioners: This research elucidated the key characteristics of the organizational context required to support the creation of social change. It also identified the critical role and characteristics of the communicative process required to generate structural knowledge and collective wisdom at the organizational level. Recommendation for Researchers: For individual and organizational learning, trans-sector transdisciplinary organizations require an appropriate organizational context. Key elements of such an organizational context include (1) understanding the ecology of the social problem; (2) organic organizational structure; (3) continuous and deep social interaction among all levels of the organization; (4) employee and community autonomy and empowerment; and (5) attention to subtle environmental changes in the system. These elements in combination lead to the creation of collective wisdom. Collective wisdom then feeds back into the conception, planning, and action stages of the iterative cycle of organizational knowledge creation to create positive social change. Impact on Society: Same as above Future Research: Future research model theoretically and study empirically the ecology of social entrepreneurship and trans-sector TD problem solving more broadly. For example, the ways in the personal attributes of social entrepreneurs (e.g., their leadership style, networking abilities) combine with circumstances at organizational, institutional, and international levels to influence the effectiveness of their efforts to promote positive social change within local and global communities. Second, the grounded theoretical framework developed here should be further refined and elaborated through the identification of additional key contextual factors that affect SEVs’ capacity to promote positive social change and to achieve sustainability in different socio-environmental contexts. There is also a need to translate the findings from this research to facilitate the creation of more inclusive problem solving contexts and practices. http://www.informingscience.org/Publications/4012 social entrepreneurship social change transdisciplinary collaboration communication dialogue complex problem solving eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 133 155 4009 article Elina I Mäkinen elina.i.makinen@gmail.com Aim/Purpose: Given that leadership has been shown to play a key role in knowledge-producing organizations, leaders of transdisciplinary science have received surprisingly little empirical attention. This study addresses the research gap by examining leadership in the context of a new transdisciplinary research organization. Background: Drawing on complexity leadership theory—a framework developed for identifying behaviors that facilitate creativity, learning, and adaptability in complex adaptive systems—this study examines leadership roles and practices that affect the generation of adaptive dynamics in transdisciplinary science. Methodology: The study is based on a longitudinal, qualitative in-depth case study on a newly formed transdisciplinary research center and its leadership team. The data includes ethnographic observations from leadership meetings and interviews with leaders. Contribution: This unique empirical case contributes to the study of transdisciplinary science by shedding light on the actions of academic leaders as they try to support transdisciplinary conversation, learning, and collaboration in a new center. Findings: The analysis shows that the leaders relied on both enabling and administrative leadership practices in a way that made them the focal point of transdisciplinary knowledge integration and thus jeopardized the creation of adaptive dynamics throughout the organization. Recommendations for Practitioners: The study highlights the importance of having knowledge brokers and hybrid scholars in strategic positions at different levels of the transdisciplinary research organization already in its early stages. Recommendation for Researchers: Longitudinal qualitative case studies that rely on different types of data provide rich information on how new leadership conceptualizations are implemented in organizations and the complex ways in which they relate to knowledge creation processes and outcomes. Impact on Society: Transdisciplinary science has the potential to find cures to complex diseases. Understanding leadership in transdisciplinary science can help in maintaining transdisciplinary research activities in the long run and thus make it more impactful. Future Research: The use of leadership roles and practices will be examined at different developmental stages in the transdisciplinary research process. http://www.informingscience.org/Publications/4009 transdisciplinary science medicine collaboration research center complexity leadership theory knowledge integration eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 157 178 4011 article Maritza Salazar maritza.salazar@uci.edu Theresa Lant tlant@pace.edu Aim/Purpose: The complexity of scientific problems has spurred the development of transdisciplinary science, in which experts are brought together to collaborate across disciplinary and practice boundaries. These knowledge diverse teams can produce novel solutions, but they often fail to achieve their potential. Background: Leaders have a crucial role to play in enabling effective collaboration among these diverse experts. We propose that a critical predictor of whether a newly formed interdisciplinary team will perform well is the leader’s multidisciplinary breadth of experience, which we define as a leader’s possession of significant experience in multiple areas of research and practice. We suggest that these leaders will have the capability to skillfully manage the interactions within the team. Methodology: We test our prediction in a sample of 52 newly formed interdisciplinary medical research teams. We also observe and examine the communication patterns in a subset of these teams. Contribution: There is a lack of systematic study of the impact leaders have on newly formed interdisciplinary science teams whose members have little or no prior collaborative experience with each other, possess specialized knowledge, and have limited overlapping expertise. This study combines quantitative and qualitative methods to examine the effect of leader multidisciplinary experience on team communication patterns and innovation. Findings: Our study finds that teams are more innovative when their leader has a moderate breadth of multidisciplinary expertise. Exploration of team communication patterns suggests that leaders with moderate multidisciplinary breadth of experience actively stimulated information sharing across expert domains by choosing cross-cutting topics and drew individuals’ attention to the knowledge and approaches of others in the team. Recommendations for Practitioners: Insights from this work can have practical implications regarding how to best select and train leaders to facilitate cross-boundary collaboration in transdisciplinary science. This study elucidates a variety of communication strategies that leaders can to enhance the team innovativeness. Recommendation for Researchers: Further investigation into the underlying psychological states that these communication strategies elicit is needed. Future research should investigate psychological mediators such as knowledge consideration, perspective taking, and cognitive flexibility. Impact on Society: Transdisciplinary science is needed to solve society’s most complex problems. The more insight we gather about factors that can help these knowledge diverse teams to be successful, but more society will benefit. Future Research: More research is needed on team formation, leader experience, and team outcomes in transdisciplinary science teams in a variety of contexts. http://www.informingscience.org/Publications/4011 interdisciplinary teams multidisciplinary breadth of experience team innovation eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 179 199 4031 article Gaetano R Lotrecchiano glotrecc@gwu.edu Megan Potterbusch mpotterbusch@email.gwu.edu Aim/Purpose: This paper explores the implications of machine-mediated communication on human interaction in cross-disciplinary teams. The authors explore the relationships between Open Science Theory, its contributions to team science, and the opportunities and challenges associated with adopting open science principles. Background: Open Science Theory impacts many aspects of human interaction throughout the scholarly life cycle and can be seen in action through various technologies, which each typically touch only one such aspect. By serving multiple aspects of Open Science Theory at once, the Open Science Framework (OSF) serves as an exemplar technology. As such it illustrates how Open Science Theory can inform and expand cognitive and behavioral dynamics in teams at multiple levels in a single tool. Methodology: This concept paper provides a theoretical rationale for recommendations for exploring the connections between an open science paradigm and the dynamics of team communication. As such theory and evidence have been culled to initiate a synthesis of the nascent literature, current practice and theory. Contribution: This paper aims to illuminate the shared goals between open science and the study of teams by focusing on science team activities (data management, methods, algorithms, and outputs) as focal objects for further combined study. Findings: Team dynamics and characteristics that will affect successful human/machine assisted interactions through mediators of workflow culture, attitudes about ownership of knowledge, readiness to share openly, shifts from group-driven to user-driven functionality, group-organizing to self-organizing structures, and the development of trust as teams regulate between traditional and open science dissemination. Recommendations for Practitioners: Participation in open science practices through machine-assisted technologies in team projects/scholarship should be encouraged. Recommendation for Researchers: The information provided highlights areas in need of further study in team science as well as new primary sources of material in the study of teams utilizing machine-assisted methods in their work. Impact on Society: As researchers take on more complex social problems, new technology and open science practices can complement the work of diverse stakeholders while also providing opportunities to broaden impact and intensify scholarly contributions. Future Research: Future investigation into the cognitive and behavioral research conducted with teams that employ machine-assisted technologies in their workflows would offer researchers the opportunity to understand better the relationships between intelligent machines and science teams’ impacts on their communities as well as the necessary paradigmatic shifts inherent when utilizing these technologies. http://www.informingscience.org/Publications/4031 open science theory research transparency technology teams open science framework eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 201 217 4025 article David G Lebow david@hylighter.com Aim/Purpose: This paper introduces a Social Machine for collaborative sensemaking that the developers have configured to the requirements and challenges of transdisciplinary literature reviews. Background: Social Machines represent a promising model for unifying machines and social processes for a wide range of purposes. A development team led by the author is creating a Social Machine for activities that require users to combine pieces of information from multiple online sources and file types for various purposes. Methodology: The development team has applied emergent design processes, usability testing, and formative evaluation in the execution of the product road map. Contribution: A major challenge of the digital information age is how to tap into large volumes of online information and the collective intelligence of diverse groups to generate new knowledge, solve difficult problems, and drive innovation. A Transdisciplinary Social Machine (TDSM) enables new forms of interactions between humans, machines, and online content that have the potential to (a) improve outcomes of sensemaking activities that involve large collections of online documents and diverse groups and (b) make machines more capable of assisting humans in their sensemaking efforts. Findings: Preliminary findings suggest that TDSM promotes learning and the generation of new knowledge. Recommendations for Practitioners: TDSM has the potential to improve outcomes of literature reviews and similar activities that require distilling information from diverse online sources. Recommendation for Researchers: TDSM is an instrument for investigating sensemaking, an environment for studying various forms of human and machine interactions, and a subject for further evaluation. Impact on Society: In complex areas such as sustainability and healthcare research, TDSM has the potential to make decision-making more transparent and evidence-based, facilitate the production of new knowledge, and promote innovation. In education, TDSM has the potential to prepare students for the 21st century information economy. Future Research: Research is required to measure the effects of TDSM on cross-disciplinary communication, human and machine learning, and the outcomes of transdisciplinary research projects. The developers are planning a multiple case study using design-based research methodology to investigate these topics. http://www.informingscience.org/Publications/4025 cognitive bias epistemological beliefs multiple texts sensemaking Social Ma-chines transdisciplinarity transdisciplinary research eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 219 234 4030 article Daniela Drago drago@gwu.edu Gaetano R Lotrecchiano glotrecc@gwu.edu Paige McDonald paigem@gwu.edu Aim/Purpose: This paper describes the regulatory affairs discipline as a useful case in the study of both inter- and transdisciplinary science and dynamics related to communication across multiple boundaries. We will 1) outline the process that led to the development of transnational competencies for regulatory affairs graduate education, 2) discuss how the process highlights the transdisciplinary character of regulatory affairs, 3) provide implications for how to communicate the influence of this characterization to future healthcare professionals, and 4) draw conclusions regarding how our lessons-learned might inform other programs of study. Background: In the past few decades, the regulatory affairs profession has become more internationalized. This prompted the need for new competencies grounded in the transnational and cross-disciplinary contexts in which these professionals are required to operate. Methodology: A convenience sample of experienced regulatory affairs professionals from multiple disciplines contributed to the development of transnational competencies for a master’s program in regulatory affairs using a transdisciplinary framework. Contribution: An applied exemplar in which to understand how transdisciplinary characteristics can be communicated and applied in higher education. Recommendations for Practitioners: This paper recommends how competencies developed from a regulatory affairs program can serve as exemplars for other applied transdisciplinary higher education programs. Impact on Society: This framework provides a seldom-used reflective approach to regulatory affairs education that utilizes cross-disciplinary theory to inform competence-based formation of professionals. http://www.informingscience.org/Publications/4030 transdisciplinary competencies regulatory affairs higher education eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-07-02 21 235 253 4028 article Nilda G Medina nmedina18@suagm.edu Loggina S. Báez Ávila logbaez@suagm.edu Loyda B Mendez lbmendez@suagm.edu Aim/Purpose: In this paper, we discuss how a Transdisciplinary (TD) and a Community Based Participatory Research (CBPR) initiative was conceptualized, developed, implemented, and sustained at a small academic institution with limited research infrastructure, emphasizing the role of capacity building. Background: Most examples of the implementation of TD research come from large-scale initiatives in research-intensive institutions or centers with multiple resources to establish collaborations among experts from different disciplines. However less is known about the implementation of TD and CBPR initiatives in small academic settings. Methodology: This paper includes a discussion of the challenges and lessons learned of this process in a teaching-intensive Hispanic Serving Institution (HSI), which included a research component as part of the institutional priorities when it transitioned to a 4-year college in 2001. Contribution: We hope that our experience helps other researchers in similar institutions to engage in this type of research. Findings: In this case, a collaborative TD and CBPR initiative was successfully implemented despite limited resources for capacity building and research infrastructure, as well as diversity among researchers and community members. Recommendation for Researchers: To sustain institutional collaborative capacity in this type of institution, authors recommend continuous capacity building efforts and the development of modules and/or courses to provide formal TD training for junior faculty while encouraging researchers to interact and collaborate. In addition, the importance of the role of the community liaison is highlighted. Impact on Society: Successful TD and CBPR initiatives may have a positive impact on the reduction or elimination of health disparities which involve complex phenomena that requires a broad view from different perspectives. Future Research: Even though capacity building can facilitate the implementation of TD and CBPR, many challenges arise as an inherent result of community engagement and the integration of different disciplines. Thus, the need of continuous reflection to acknowledge them becomes critical for advancing TD and CBPR efforts. http://www.informingscience.org/Publications/4028 transdisciplinary research community based participatory research capacity building Hispanic Serving Institution eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-09-23 21 255 268 4115 article Giorgia Rimondi giorgia.rimondi@gmail.com Marco Veronese marco.veronese.dmm@gmail.com Aim/Purpose: The authors argue that interdisciplinarity, together with the more recent concept of transdisciplinarity, can be seen as a coherent attempt not so much to reassemble the fragmented structure into a whole, as to create a fruitful collaboration and integration among different disciplines that takes into account their specificity. Background: At the threshold of the Modern Age, a series of paradigm shifts in Western thought caused its fragmentation into a variety of academic subdisciplines. Such diversification can be considered the result of epistemological shifts and changes in the division of intellectual labor. Contribution: Which semantic horizons can this new approach open, and on which theoretical foundations could a dialogue between disciplines be produced? The growing importance of this problem is evidenced by the emergence, during the last decades, of philosophical reflections on the interactions among different research fields. The paper aims to contribute to the contemporary discussion of the need to overcome boundaries between disciplines. Consequently, it has both a methodological and theoretical impact, since all branches of knowledge aspiring to go beyond their traditional theoretical boundaries would benefit from a coherent theoretical perspective which tries to reconceptualize the transfer of knowledge from one field to another. Findings: The possibility of transdisciplinarity in modern science finds its theoretical premise in M. Foucault’s seminal work on the organization of knowledge, The Order of Things, which hinted at the existence of gaps in the grid of knowledge, leading, as a result, to the possibility of creating transdisciplinary connections. Future Research: The authors’ critical discussion of transdisciplinarity aims to revive the French epistemological tradition that in the last decades has often been rejected by researchers as not being rigorous nor analytical. This choice is motivated by the belief that, despite such evident defects, at its bottom lies a genuine theoretical intention that does not take for granted the possibility of transcending the usual division of intellectual work. In addition, the authors offer a brief account of the Russian conception of transdisciplinarity, relatively little studied in the West, which is presumed to integrate and solve the difficulties of other similar models. http://www.informingscience.org/Publications/4115 transdisciplinarity critical epistemology philosophy of boundaries status of humanities Michel Foucault Russian school of transdisciplinarity eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-09-24 21 269 287 4117 article Elena Maceviciute elena.maceviciute@gmail.com Thomas D. Wilson wilsontd@gmail.com Aim/Purpose: The aim of this paper is to identify the possibilities for reducing the second and third levels of the digital divide (or inequality) through conscious application of digital technologies, especially through the promotion of digital means for information, enlightenment, and entertainment. Background: This article reviews studies carried out between 2000 and 2017, which investigate the social benefits of digital technology use for disadvantaged user groups and, especially, of their outcomes in terms of increasing digital skills and motivation to use information and communication technologies. Methodology: The literature review of the selected texts was carried out using thematic content analysis. The coding scheme was open but based on the theory of three levels of digital divide by van Dijk. Contribution: The results of the analysis show the difficulties related to the attempts of reducing the digital divide on the second and third level using only digital interventions, but also reveal the potential of these interventions. Findings: The literature review confirms the connection of different levels of digital divide with other relational and structural inequalities. It provides insights into the strengths and weaknesses of digital interventions aimed at the reduction of digital inequalities. Their success depends on the consideration of the context and participants needs as well as on carefully planned strategies. The paper summarizes and demonstrates the shortcomings and limitations of poorly designed interventions in reducing the digital divide but emphasizes the possibilities of raising the motivation and benefits for the participants of strategically planned and implemented projects. Recommendations for Practitioners: While planning a digital intervention with the aim of reducing digital inequalities, it is necessary to assess carefully the context and the needs of participants. Educational interventions should be based on suitable didactic and learning strategies. Recommendation for Researchers: More research is needed into the factors that increase the effectiveness of digital interventions aimed at reducing the digital divide. Future Research: We will apply the findings of this literature review in an intervention in the context of Lithuanian towns of different sizes. http://www.informingscience.org/Publications/4117 digital divide digital technology literature review reducing digital inequali-ties eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2018-11-23 21 289 317 4137 article Maureen Tanner mc.tanner@uct.ac.za Pabie Q Tabo TBXPAB001@myuct.ac.za Aim/Purpose: This study was undertaken to shed light on how the use of a heteronormative mobile dating application creates an environment to promote psychological empowerment among female users within the online dating scene. The study focused on a mobile dating application which specifically challenges traditional gender roles, namely Bumble. Background: Mobile dating applications have become an increasingly popular medium for people to meet potential partners. However, users’ pre-existing social norms and biases inform how they communicate on these platforms, and stereotyped judgment about women perpetuates ideologies which continue to oppress them within the cyber world. Despite this, very little research has investigated the experiences of female users of mobile dating applications. Methodology: The study was qualitative in nature, and 10 semi-structured interviews of female Bumble users were conducted. The data were analyzed using thematic analysis. Contribution: The study contributes to knowledge by highlighting how key features of mobile dating applications influence various aspects of psychological empowerment as articulated in the findings. Findings: The findings show that the Bumble application supports Intrapersonal variables of Psychological Empowerment of female users relative to Domain Specific Perceived Control and Self-Efficacy, Motivation to Control and Perceived Competence. However, Domain Specific Perceived Control can also be negatively impacted due to self-doubt when female users receive little to no matches. Interactional variables of psychological empowerment are also supported, as Bumble allows female users to be critically aware of the need to screen potential partners, understand relevant causal agents, develop skills relative to initiating conversations and mobilize resources. However, Bumble is not effective in supporting behavioral variables of psychological empowerment because of limitations in the tool’s functionality and the behavior of the people interacting on the platform. Recommendations for Practitioners: The findings are important as they suggest the need to enhance the features available to female users in order to better suit their needs and desire to take control of their lives in the context of dating and/or friendship. Recommendation for Researchers: The findings reveal the need for a change of perceptions and attitudes on the part of some users to create a safer and more considerate virtual dating space, to truly achieve psychological empowerment. Future Research: More research is required on how male and female users domesticate mobile dating applications and how the use of these applications influence their daily lives from a socio-cultural point of view. http://www.informingscience.org/Publications/4137 mobile dating applications online dating women empowerment eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-12-07 20 . i iii 3619 article Raafat George Saadé rsaade@jmsb.concordia.ca Table of contents for Volume 20 of Informing Science: the International Journal of an Emerging Transdiscipline, 2017. http://www.informingscience.org/Publications/3619 Informing Science table of contents eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-12-07 20 001 020 3615 article Alperen M Aydin a.mehmetaydin@gmail.com Aim/Purpose: The objective of this paper is to review the vast literature of user-centric in-formation science and inform about the emerging themes in information behaviour science. Background: The paradigmatic shift from system-centric to user-centric approach facilitates research on the cognitive and individual information processing. Various information behaviour theories/models emerged. Methodology: Recent information behaviour theories and models are presented. Features, strengths and weaknesses of the models are discussed through the analysis of the information behaviour literature. Contribution: This paper sheds light onto the weaknesses in earlier information behaviour models and stresses (and advocates) the need for research on social information behaviour. Findings: Prominent information behaviour models deal with individual information behaviour. People live in a social world and sort out most of their daily or work problems in groups. However, only seven papers discuss social information behaviour (Scopus search). Recommendations for Practitioners : ICT tools used for inter-organisational sharing should be redesigned for effective information-sharing during disaster/emergency times. Recommendation for Researchers: There are scarce sources on social side of the information behaviour, however, most of the work tasks are carried out in groups/teams. Impact on Society: In dynamic work contexts like disaster management and health care settings, collaborative information-sharing may result in decreasing the losses. Future Research: A fieldwork will be conducted in disaster management context investigating the inter-organisational information-sharing. http://www.informingscience.org/Publications/3615 user-centric information processing information behaviour collaborative information behaviour eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-02-15 20 019 036 3665 article Sabah Al-Fedaghi sabah@alfedaghi.com Aim/Purpose: With information almost effortlessly created and spontaneously available, current progress in Information and Communication Technology (ICT) has led to the complication that information must be scrutinized for trustworthiness and provenance. Information systems must become provenance-aware to be satisfactory in accountability, reproducibility, and trustworthiness of data. Background: Multiple models for abstract representation of provenance have been proposed to describe entities, people, and activities involved in producing a piece of data, including the Open Provenance Model (OPM) and the World Wide Web Consortium. These models lack certain concepts necessary for specifying workflows and encoding the provenance of data products used and generated. Methodology: Without loss of generality, the focus of this paper is on OPM depiction of provenance in terms of a directed graph. We have redrawn several case studies in the framework of our proposed model in order to compare and evaluate it against OPM for representing these cases. Contribution: This paper offers an alternative flow-based diagrammatic language that can form a foundation for modeling of provenance. The model described here provides an (abstract) machine-like representation of provenance. Findings: The results suggest a viable alternative in the area of diagrammatic representation for provenance applications. Future Research: Future work will seek to achieve more accurate comparisons with current models in the field. http://www.informingscience.org/Publications/3665 conceptual representation provenance diagrammatic representation workflow data provenance eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-03-17 20 037 061 3668 article Grandon Gill grandon@grandon.com Matthew Mullarkey mmullarkey@usf.edu Aim/Purpose We establish a conceptually rigorous definition for the widely used but loosely defined term “fitness”. We then tie this definition to complexity, highlighting a number of important implications for the informing science transdiscipline. Background As informing science increasingly incorporates concepts of fitness and complexity in its research stream, rigorous discussion and definition of both terms is essential to effective communication. Methodology Our analysis consists principally of a synthesis of past work in the informing science field that incorporates concepts from evolutionary biology, economics and management. Contribution We provide a rigorous approach to defining fitness and introduce the construct “extrinsic complexity”, as a measure of the amount of information required to predict fitness, to more fully differentiate this form of complexity from other complexity constructs. We draw a number of conclusions regarding how behaviors under low and high extrinsic complexity will differ. Findings High extrinsic complexity environments are likely to produce behaviors that include resistance to change, imitation, turbulence and inequality. Recommendations for Practitioners As extrinsic complexity grows, effective search for problem solutions will increasingly dominate employing recommended solutions of “best practices”. Recommendation for Researchers As extrinsic complexity grows, research tools that rely on decomposing individual effects and hypothesis testing become increasingly unreliable. Impact on Society We raise concerns about society’s continuing investment in academic research that discounts the extrinsic complexity of the domains under study. Future Research We highlight a need for research to operationalize the concepts of fitness and complexity in practice. http://www.informingscience.org/Publications/3668 fitness complexity rugged landscapes punctuated equilibrium informing eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-05-07 20 063 082 3743 article Ulrich Schmitt schmitt@knowcations.org Aim/Purpose: Personal Knowledge Management (PKM) has been envisaged as a crucial tool for the growing creative class of knowledge workers, but adequate technological solutions have not been forthcoming. Background: Based on former affordance-related publications (primarily concerned with communication, community-building, collaboration, and social knowledge sharing), the common and differing narratives in relation to PKM are investigated in order to suggest further PKM capabilities and affordances in need to be conferred. Methodology: The paper follows up on a series of the author’s PKM-related publications, firmly rooted in design science research (DSR) methods and aimed at creating an innovative PKM concept and prototype system. Contribution: The affordances presented offer PKM system users the means to retain and build upon knowledge acquired in order to sustain personal growth and facilitate productive collaborations between fellow learners and/or professional acquaintances. Findings: The results call for an extension of Nonaka’s SECI model and ‘ba’ concept and provide arguments for and evidence supporting the claims that the PKM concept and system is able to facilitate better knowledge traceability and KM practices. Recommendations and Impact on Society: Together with the prior publications, the paper points to current KM shortcomings and presents a novel trans-disciplinary approach offering appealing opportunities for stakeholders engaged in the context of curation, education, research, development, business, and entrepreneurship. Its potential to tackle opportunity divides has been addressed via a PKM for Development (PKM4D) Framework. Future DSR Activities: After completing the test phase of the prototype, its transformation into a viable PKM system and cloud-based server based on a rapid development platform and a noSQL-database is estimated to take 12 months. http://www.informingscience.org/Publications/3743 Personal Knowledge Management (PKM) Design Science Research (DSR) Informing Science (IS) Knowledge Worker Affordances Path Dependency Fixations Digital Ecosystems Memes Memex Knowcations eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-05-22 20 083 097 3748 article Greeni Maheshwari greeni.maheshwari@rmit.edu.vn Susan Thomas suthomasmathew@gmail.com Aim/Purpose: The main aim of the research is to examine the performance of second language English speaking students enrolled in the Business Statistics course and to investigate the academic performance of students when taught under the constructivist and non-constructivist approaches in a classroom environment. Background: There are different learning theories that are established based on how students learn. Each of these theories has its own benefits based on the different type of learners and context of the environment. The students in this research are new to the University environment and to a challenging technical course like Business Statistics. This research has been carried out to see the effectiveness of the constructivist approach in motivating and increasing the student engagement and their academic performance. Methodology : A total of 1373 students were involved in the quasi-experiment method using Stratified Sampling Method from the year 2015 until 2016. Contribution: To consider curriculum adjustments for first year programs and implications for teacher education. Findings: The t-test for unequal variances was used to understand the mean score. Results indicate students have high motivation level and achieve higher mean scores when they are taught using the constructivist teaching approach compared to the non-constructivist teaching approach. Recommendations for Practitioners: To consider the challenges faced by first year students and create a teaching approach that fits their needs. Recommendation for Researchers: To explore in depth other teaching approaches of the Business Statistics course in improving students’ academic performance. Impact on Society : The constructivist approach will enable learning to be enjoyable and students to be more confident. Future Research: The research will assist other lectures teaching Business Statistics in creating a more conducive environment to encourage second language English speaking students to overcome their shyness and be more engaged. http://www.informingscience.org/Publications/3748 business statistics constructivist approach second language English speakers student motivation academic performance eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-06-03 20 099 117 3747 article Shaghayegh Maleki Far shaghayegh.malekifar@rmit.edu.vn Mohammadreza Akbari reza.akbari@rmit.edu.vn Steven J Clarke steven.clarke@rmit.edu.vn Aim/Purpose : An important objective of any firm is escalation of its performance and the achievement of competitive advantages. Supply chain agility plays a prominent role to enhance the level of firm’s performance. Moreover, information technology (IT) plays a foundational role in supply chain management practices. Hence, this study proposes the relationship between IT integration as the competency of IT and firm’s market performance both directly and through mediating role of supply chain agility. Background: Many studies have been done to date on the impact of supply chain agility on overall firm’s performance. However, the effect of an agile supply chain on firm’s market performance per se needs to be studied. Furthermore, there is a gap in the literature about the effect of IT competency such as IT integration on firm’s market performance both directly and through mediating role of supply chain agility. Recommendation for Researchers: The first direction this study gives to researchers is to consider the different factors which have significant effect on the agility of supply chain, particularly the IT related ones. The second direction is about the study on the effect of IT competencies and supply chain agility on each category of firm’s performance separately instead of considering it as a one construct. Impact on Society : Although this is a conceptual study, it can highlight the importance of IT competency not only in our daily life, but also in our businesses and industries. Future Research: This study only proposes some relationships based on theory and literature. Future researchers can test these proposed relationships in different contexts and compare the results. Furthermore, this study proposes the relationships for large manufacturing sector in developing countries. The model could be tested for SMEs as well. In addition, the proposed theoretical model in this study might be tested in both developing as well as developed countries to compare the results which will be contributed to the body of knowledge. http://www.informingscience.org/Publications/3747 IT integration supply chain agility market performance eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-06-08 20 119 131 3746 article Derrick L Anderson derrickla95@gmail.com Aim/Purpose Information Technology students’ learning outcomes improve when teaching methodology moves away from didactic behaviorist-based pedagogy toward a more heuristic constructivist-based version of andragogy. Background There is a distinctive difference, a notable gap, between the academic community and the business community in their views of the level of preparedness of recent information technology program graduates. Understanding how Information Technology curriculum is developed and taught along with the underpinning learning theory is needed to address the deficient attainment of learning outcomes at the heart of this matter. Methodology The case study research methodology has been selected to conduct the inquiry into this phenomenon. This empirical inquiry facilitates exploration of a contemporary phenomenon in depth within its real-life context using a variety of data sources. The subject of analysis will be two Information Technology classes composed of a combination of second year and third year students; both classes have six students, the same six students. Contribution It is the purpose of this research to show that the use of improved approaches to learning will produce more desirable learning outcomes. Findings The results of this inquiry clearly show that the use of the traditional behaviorist based pedagogic model to achieve college and university IT program learning outcomes is not as effective as a more constructivist based andragogic model. Recommendations Instruction based purely on either of these does a disservice to the typical college and university level learner. The correct approach lies somewhere in between them; the most successful outcome attainment would be the product of incorporating the best of both. Impact on Society Instructional strategies produce learning outcomes; learning outcomes demonstrate what knowledge has been acquired. Acquired knowledge is used by students as they pursue professional careers and other ventures in life. Future Research Learning and teaching approaches are not “one-size-fits-all” propositions; different strategies are appropriate for different circumstances and situations. Additional research should seek to introduce vehicles that will move learners away from one the traditional methodology that has been used throughout much of their educational careers to an approach that is better suited to equip them with the skills necessary to meet the challenges awaiting them in the professional world. http://www.informingscience.org/Publications/3746 learning outcomes pedagogy andragogy behaviorism constructivism learning theory instructional strategy eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-06-18 20 133 148 3766 article Husain F. Ghuloum hf.ghuloum@paaet.edu.kw Zuwainah R Allamki zr.allamki@paaet.edu.kw Aim/Purpose: This paper aims to investigate how Kuwaiti Academic Libraries (KALs) have responded to the rapidly evolving Smartphone-Apps (SP-Apps) environment, as well as exploring the level of electronic services provided in these libraries. Background: This study can illustrate whether the governmental, academic libraries in the State of Kuwait have already benefited from the mobile services provided by smart phones or not. Methodology: In this study, the researchers use both qualitative and quantitative methods. Therefore, questionnaires and interviews are used in order to collect in-depth data in this field. The questionnaire sample was 400 respondents. They divided in two KALs: Kuwait University Library (KUL) and Public Authority of Applied Education Training Library (PAAETL), while eight individual interviews were conducted one-to-one in this research. Contribution: This paper may be important for academic libraries to identify shortcomings in the smartphones’ content and services they provide and in highlighting efforts by libraries to address their users’ needs in this area. Findings: The findings show that most participants expressed the need to introduce an SP-App to their library. They also confirmed that there are many difficulties in creating an SP-App including lack of budget, lack of awareness of library management, lack of clarity about library management strategic objectives, and vision for an SP-App. Recommendations for Practitioners: Designing SP-Apps that have reliable content and user interface that is easy to use is a considerable challenge. For this reason, the study highly recommends introducing SP-Apps for KALs as soon as possible. Future Research: The recommendations proposed are relevant to Kuwait. Further research may be useful in this field in other developing countries, in order to test or develop the suggested strategy. http://www.informingscience.org/Publications/3766 academic library smartphone information communication technology Kuwait eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-06-18 20 149 165 3765 article Yahel Giat yahel@jct.ac.il Dan Bouhnik Dan.Bouhnik@biu.ac.il Issachar Zarruk soher81@gmail.com Aim/Purpose: To develop and introduce a questionnaire that investigates the informing needs, information-seeking behavior, and supplier selection of procurement officers in Israel. The questionnaire’s internal consistency reliability is given. Additionally, we describe the demographic description of the procurement officers in Israel. Background: Procurement science is an important field that affects firms’ profits in the private sector and is significant to growth, innovation, sustainability, and welfare in the public sector. There is little research about the informing needs of procurement officers in general and particularly in Israel. Methodology: A quantitative questionnaire that is sent to all the procurement officers in Israel’s procuring association. Contribution: The questionnaire that is developed in this paper may be used by other researchers and practitioners to evaluate the information needs of procurement officers. Findings: The typical procurement officer is male, with a bachelor degree and is digitally proficient. Recommendations for Practitioners: The procuring side can use the questionnaire to develop better tools for obtaining information efficiently. The supplying side can use this knowledge to improve its exposure to potential customers and address its customer’s needs better. Recommendation for Researchers: The questionnaire can address theoretical questions such as how digital literacy affects the procuring process and provide empirical findings about active research areas such as supplier selection and information-seeking behavior. Future Research: Future research will examine the relationship between the various variables and demographic features to understand why specific information needs and information-seeking behaviors arise. http://www.informingscience.org/Publications/3765 procurement informing needs e-procurement Israel eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-06-18 20 167 178 3764 article Dimitar Grozdanov Christozov dchristozov@yahoo.com Aim/Purpose: Sharing ideas generated in a Business Intelligence (BI) Applications class to upgrade an Information System in to an Informing System. Background: Course Registration is the essential university’s business process in a university that follows a liberal-arts education model. Almost all categories of users are involved, including students, individual faculties and departments, and administration. A typical Information System, designed to support this process, allows departments to schedule selected courses for a particular time slot and location, and allows students to choose courses to study for the semester. Methodology: The course project is to design a BI application. Domain knowledge is essential for such projects and course registration was the natural choice for this class. The assignment includes (1) identifying the categories of stakeholders; (2) identifying the information needs of different categories; (3) identifying available information sources; (4) identifying how is possible to acquire the additional data; and (5) designing the Extract-Transform-Load (ETL) process and interface scenarios in a way to inform clients. Contribution: Contributions are in two directions: (1) pedagogy - involving students in such a project motivates creativity, also enforcing students to think in cost-benefit framework may lead to creation of really effective and efficient solutions; (2) practice - implementation of some of the ideas could be with low cost, but with high impact. Findings: Exploring BI techniques may increase the informing value of existing Information Systems. Recommendations for Practitioners: Careful analysis of information needs and the way information is used, combined with deep domain knowledge and understanding the value provided by Data Mining techniques, is the way to initiate a process of transforming an Retrieval Information System to better inform clients. Recommendation for Researchers : Combining pedagogy with practice allows one to overcome routine thinking and may lead to effective solutions. This needs further structuring and research on outcomes. Impact on Society Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results. Impact on Society : Transforming Information towards Informing Systems has a significant impact by allowing users to make rational data driven decisions in an efficient way. Future Research: The future of this project is implementation of developed ideas and assessment of the results. http://www.informingscience.org/Publications/3764 information systems informing systems business intelligence analytics course registration eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-09-13 20 179 194 3851 article Natalie Gerhart nataliegerhart@creighton.edu Aim/Purpose: The media and research have made significant noise about young people’s addictions to technology, however the American Psychological Association (APA) has reserved judgment on the clinical diagnosis of technology addiction. Research to understand technology addiction is important to the future of information systems development and behavioral usage understanding. Background: Addiction implies that there is a problem from which an IS client needs to try to recover, further implying a negative impact on life. Multiple defini-tions and outcomes of addictions have been studied in the information systems discipline, with virtually no focus on quality of life of the IS client. Methodology: This research employs a survey of students at a large southwestern United States university. Measures were adopted from previously validated sources. The final sample includes 413 usable responses analyzed using PLS. Contribution: This research broadens theoretical and practical understanding of SNS IS client perceptions by relating technology addiction to a broader impact on an individual’s life. By doing so, it provides guidance on society’s understanding of frequent technology use, as well as the development of new systems that are highly used. Findings: This research indicates diminished impulse control, distraction, social influence and satisfaction are all highly correlated with technology addiction; specifically, 55% of the variance in addiction is explained by these four indicators. However, the model further shows addiction has no significant relationship with overall satisfaction of life, indicating that IS clients do not correlate the two ideas. Recommendations for Practitioners: Heavy technology use may indicate a paradigm shift in how people inter-act, instead of a concern to be addressed by the APA. Recommendation for Researchers: Research needs to clearly define technology dependence, addiction, and overuse so that there is a strong understanding of what is meant. These findings help guide assumptions about the dark side of Information Technology. Impact on Society: While technology use is increasing, younger generations may find the use to be acceptable and less of a problem then older generations. Future Research: Future research should replicate these findings on other technology artifacts and other technology addiction definitions. In the future, there is also opportunity to delve deeper into the outcome variable of satisfaction with life. http://www.informingscience.org/Publications/3851 addiction satisfaction with life social network sites dependence eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-10-05 20 195 214 3852 article Martine Robinson Beachboard beacmart@isu.edu Aim/Purpose: Professional companies selling persuasive-communication services via the World Wide Web need to be exemplars of effective informing practices. Their credibility is at risk if their websites do not excel in marketing message and use of medium. Their unique brands need to be expressed through website technology and content, or they cannot compete successfully. Background: Compares marketing communication consultants’ websites with expert criteria. Methodology: Content analysis of 40 advertising agency websites. Contribution: Links an evaluation of advertising agency compliance with expert website criteria to established branding constructs. Findings: Most small advertising agencies could improve their brand reputations through better compliance with experts’ recommended website design and content criteria. Recommendations for Practitioners: A hierarchy of recommendations for practitioners is offered, addressing ease and importance. Impact on Society: Clarity and credibility of message and medium improve our ability to practice effective informing. Future Research: Explore online communications of specialized populations such as digital marketing experts. http://www.informingscience.org/Publications/3852 brand reputation identity differentiation message clarity expertise and credibility eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-10-13 20 215 235 3871 article Mehrdad Koohikamali mehrdad_koohikamali@redlands.edu Anna Sidorova Anna.Sidorova@unt.edu Aim/Purpose: In the light of the recent attention to the role of social media in the dissemination of fake news, it is important to understand the relationship between the characteristics of the social media content and re-sharing behavior. This study seeks to examine individual level antecedents of information re-sharing behavior including individual beliefs about the quality of information available on social network sites (SNSs), attitude towards SNS use and risk perceptions and attitudes. Methodology: Testing the research model by data collected through surveys that were adminis-tered to test the research model. Data was collected from undergraduate students in a public university in the US. Contribution: This study contributes to theory in Information Systems by addressing the issue of information quality in the context of information re-sharing on social media. This study has important practical implications for SNS users and providers alike. Ensuring that information available on SNS is of high quality is critical to maintaining a healthy user base. Findings: Results indicate that attitude toward using SNSs and intention to re-share infor-mation on SNSs is influenced by perceived information quality (enjoyment, rele-vance, and reliability). Also, risk-taking propensity and enjoyment influence the intention to re-share information on SNSs in a positive direction. Future Research: In the dynamic context of SNSs, the role played by quality of information is changing. Understanding changes in quality of information by conducting longitudinal studies and experiments and including the role of habits is necessary. http://www.informingscience.org/Publications/3871 social network fake news information quality risk taking propensity re-sharing eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-10-13 20 237 258 3874 article Helen Hasan hasan@uow.edu.au Corina Ionescu corina@uow.edu.au Aim/Purpose: Climate change mitigation is a global challenge, in which academia and business have a role to play. This research explores ways to develop a freely-available information system that would enable small businesses to identify and reduce their environmental footprint. Background: While large organizations have the resources to track emissions and other pertinent data, small businesses may not, despite intentions to be more environmentally responsible. Freely available applications to track emissions focus on the carbon footprint of things, whereas activities are a more meaningful unit of analysis for business managers. Methodology: Using a design science research approach, we conducted a study of a collaborative project that investigated how a low-cost, freely-available online wiki could be developed by group of students, under the guidance of university scholars and business owners. In the project, different student groups were tasked to create the wiki, input content and design a dashboard interface for managers to find data relevant to their business. The research takes an information systems view of the project, relying on the holistic notion of activity from activity theory and taking a design science approach to the study. Contribution: The paper contributes to the practices of green information systems, climate change, and small business. Theoretically it provides new insights into the linear view of design science in resource poor, collaborative projects. Findings: The research demonstrates the viability of an online system to track the envi-ronmental footprint of business activities. It reveals the challenges from a design science perspective of attempts to create online systems using freely available products and labor. Recommendations for Practitioners: Meaningful information systems to assist small businesses to manage their environmental footprint should focus on activities not things, be low cost and easy to use. Recommendation for Researchers: Complex nonlinear design science frameworks may be needed to build community-based green information systems projects. Impact on Society: This paper examines the role that university-community partnerships can play in mitigating climate change. Future Research: We should now investigate ways to ensure the viability and sustainability of systems developed by groups of university students. http://www.informingscience.org/Publications/3874 climate change small business wiki activity theory design science green in-formation systems eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2017-12-27 20 259 275 3905 article Bassam Hasan bhasan@utnet.utoledo.edu Aim/Purpose: This study aims to provide a better understanding of individual acceptance of enterprise resource (ERP) systems. Based on the uses and gratifications theory (UGT) and informing science theory, the study developed and empirically tested a research model to explain the effects of ERP characteristics (specifically, informativeness and enjoyment) on ERP acceptance and use. Background: Individual acceptance of ERP systems is crucial for achieving the benefits associated with ERP systems. Unfortunately, little research has focused on acceptance of ERP systems at the individual level. This study attempts to fill this void. Methodology: A survey questionnaire was distributed to ERP users to collect data to empiri-cally test the research model developed in this study. In addition to demographic and background information question, the survey contained instruments to measure the study variables. Contribution: The empirical results show that UGT provides a sound theoretical framework for explaining users’ gratifications, attitudes, and behavioral intentions toward adopting and using an ERP. These results support the view that subsumes information systems and other fields that endeavor to inform their audience. Findings: Individuals’ perceptions of the informativeness and entertainment of ERP systems demonstrated strong direct effects on attitude toward using and satisfaction with ERP systems. In turn, satisfaction with ERP systems showed a direct significant impact on intention to use an ERP system. Recommendations for Practitioners: Maintaining a favorable environment and designing training workshops that highlight the information and enjoyment aspects of an ERP can boost users’ perceptions of ERP informativeness and enjoyment and, eventually, improve their attitude and satisfaction with an ERP. Recommendation for Researchers: Researchers should test the proposed research model with other types of ERP systems and in different environments to enhance the generalizability of the results to other systems and settings. Impact on Society: The results of is study can be used as a foundation on which to develop plans and design strategies to enhance individual acceptance of ERP systems and realize the benefits associated with these systems. Future Research: Future research should extend the research model by integrating other personal and technology variables to provide further insights into what influences individuals to accept or reject an ERP system. http://www.informingscience.org/Publications/3905 enterprise resource system (ERP) uses and gratification theory (UGT) in-formativeness enjoyment attitude satisfaction intention to use ERP systems eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-04-03 19 i iii 3440 article Raafat George Saadé rsaade@jmsb.concordia.ca InformingScienceJ, Volume 19, 2016 Table of Contents http://www.informingscience.org/Publications/3440 table of contents Informing Science eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-04-03 19 001 073 3428 article Grandon Gill grandon@grandon.com Matthew Mullarkey mmullarkey@usf.edu Moez Limayem mlimayem@usf.edu Joseph E Mohr josephmohr@mail.usf.edu As the complexity of a system grows, the challenge of informing the stakeholders of that system grows correspondingly. Nowhere is that challenge more daunting than in business education, where globalization, technological innovation, and increasingly complicated regulations continuously transform the business environment facing graduates and practitioners. Informing science theory proposes that different levels of complexity require different channels if effective informing is to be achieved. The paper first examines how two important sources of complexity—the diversity of clients and the ruggedness of the business landscape—are changing, and how these changes demand vastly more interactive informing channels if impact is to be achieved. Using an exploratory case study methodology, it then takes a detailed look at how one institution—the University of South Florida’s Muma College of Business—has introduced a variety of new channels, many of which enable informing flows without necessarily directing them, to adapt to these environmental changes. It then considers both outcomes related to these individual informing channels and college-wide outcomes related to a broad and deep mosaic of informing flows. Finally, it considers the question of the resources required to support these new channels and the relationship between resource acquisition and channel introduction. The proposed framework for looking at business school informing channels can be applied by administrators, faculty members, and key stakeholders in understanding, evaluating, and planning programs and activities supporting informing in a complex environment. Ultimately, the informing business school framework may also provide a means for communicating impact to business school accrediting agencies (such as AACSB). http://www.informingscience.org/Publications/3428 informing science informing system internships externships business education case studies research channel complexity rugged landscape business school impact eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-05-18 19 075 087 3494 article Dimitar Grozdanov Christozov dchristozov@yahoo.com Stefanka Chukova stefanka@gmail.com Plamen S. Mateev pmat@fmi.uni-sofia.bg The following definition of “option” is given in Wikipedia - “In finance, an option is a contract, which gives the buyer (the owner or holder) the right, but not the obligation, to buy or sell an underlying asset or instrument at a specified strike price on or before a specified date, depending on the form of the option” (“Option,” n.d.). Option as a risk management (mitigation) tool is broadly used in finance and trade. At the same time, it introduces asymmetry in the sense that, probabilistically, it limits the level of losses (e.g., the price of the option) and allows for unlimited gains. In the market of sophisticated devices (as smart phones, tablets, etc.), where technologies are rapidly advancing, customers usually do not have the experience to use all features of the device at the time of the purchase. Due to the lack of appropriate expertise, the risk of misinforming, leading to not purchasing the “right” device is high, but given enough time to learn the capabilities of the device and map these to the needs and tasks that device will be used for, could provide the client with substantial long term benefits. Warranty of misinforming is a mechanism that provides the client with the opportunity to explore the device and master its features under limited risk of financial losses. Thus, the warranty of misinforming could be considered as an option - the custom-ers buy it (at a fixed cost) and may gain (theoretically) unlimited benefit by realizing (within the terms of the warranty) that the device can be used to solve a variety of problems not envisaged at the time of purchase. In this study we present the idea of treating the warranty of misinforming as an option in finances and provide examples to illustrate our viewpoint. http://www.informingscience.org/Publications/3494 warranty of malfunctioning warranty of misinforming options asymmetry utility risk of misinforming eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-05-18 19 089 102 3504 article Karoly Bozan bozakaro@isu.edu Bill Davey bill.davey@rmit.edu.au Robert Houghton hougrobe@isu.edu Kevin R. Parker parkerkr@isu.edu Group work can provide a valuable learning experience, one that is especially relevant for those preparing to enter the information system workforce. While much has been discussed about effective means of delivering the benefits of collaborative learning in groups, there are some problems that arise due to pragmatic environmental factors such as the part time work commitments of students. This study has identified a range of problems and reports on a longitudinal Action Research study in two universities (in Australia and the USA). Over three semesters problems were identified and methods trialed using collaborative tools. Several promising solutions are presented to the identified problems. These include the use of Google documents and color to ensure team contributions are more even. http://www.informingscience.org/Publications/3504 action research group work problems eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-05-27 19 103 123 3514 article Celina M. Olszak olszak@ue.katowice.pl Jerzy Andrzej Kisielnicki jerzy@kisielnicki.edu.pl The main aim of this paper is to provide a theoretically and empirically grounded discussion on IT-based organizational creativity support. This study attempts to answer the following questions: (1) what is the issue of organizational creativity and its IT-based support, (2) what is the demand for IT –based organizational creativity support; (3) what are the main determinants and barriers to IT-based organizational creativity support; and (4) what success factors are crucial for IT-based organizational creativity support. This paper presents the analysis results of a survey conducted in 25 selected organizations. The paper provides valuable information on the possibilities of IT applications in organizational creativity support as well as the associated success factors. It makes useful contribution to our better understanding of IT-based organizational creativity support issues. http://www.informingscience.org/Publications/3514 Organizational creativity IT-based organizational creativity support success factors eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-05-30 19 125 139 3500 article Joseph T. Chao jchao@bgsu.edu Jeremy J Storer jstorer@bgsu.edu Andrew T Torelli torelli@bgsu.edu Alexis D Ostrowski alexiso@bgsu.edu Non-expert scientists are frequently involved in research requiring data acquisition over large geographic areas. Despite mutual benefits for such “citizen science”, barriers also exist, including 1) difficulty maintaining user engagement with timely feedback, and 2) the challenge of providing non-experts with the means to generate reliable data. We have developed a system that addresses these barriers. Our technologies, KnoWare and InSpector, allow users to: collect reliable scientific measurements, map geo-tagged data, and intuitively visualize the results in real-time. KnoWare comprises a web portal and an iOS app with two core functions. First, users can generate scientific ‘queries’ that entail a call for information posed to a crowd with customized options for participant responses and viewing data. Second, users can respond to queries with their GPS-enabled mobile device, which results in their geo- and time-stamped responses populating a web-accessible map in real time. KnoWare can also interface with additional applications to diversify the types of data that can be reported. We demonstrate this capability with a second iOS app called InSpector that performs quantitative water quality measurements. When used in combina-tion, these technologies create a workflow to facilitate the collection, sharing and interpretation of scientific data by non-expert scientists. http://www.informingscience.org/Publications/3500 Citizen Science Cell-phone Spectrometer Water Contaminant Analysis Web and Mobile Development Visualization eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-06-02 19 141 160 3517 article Donna M. Grant grantd@nccu.edu Erastus Karanja merastus@gmail.com Shinetta Freeman shinettafreeman@gmail.com David Anyiwo danyiwo@bowiestate.edu This study investigates the skill sets necessary for entry level systems analysts. Towards this end, the study combines two sources of data, namely, a content analysis of 200 systems analysts’ online job advertisements and a survey of 20 senior Information Systems (IS) professionals. Based on Chi-square tests, the results reveal that most employers prefer entry level systems analysts with an undergraduate Computer Science degree. Furthermore, most of the employers prefer entry level systems analysts to have some years of experience as well as industry certifications. The results also reveal that there is a higher preference for entry level systems analysts who have non-technical and people skills (e.g., problem solving and oral communication). The empirical results from this study will inform IS educators as they develop future systems analysts. Additionally, the results will be useful to the aspiring systems analysts who need to make sure that they have the necessary job skills before graduating and entering the labor market. http://www.informingscience.org/Publications/3517 System Analysts Information Systems Education Skills Content Analysis Empirical Study eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-06-07 19 161 172 3515 article Anna Maria Misiak aniamisiak1@gmail.com Jerzy Andrzej Kisielnicki jerzy@kisielnicki.edu.pl The global Business Intelligence (BI) market grew by 10% in 2013 according to the Gartner Report. Today organizations require better use of data and analytics to support their business decisions. Internet power and business trend changes have provided a broad term for data analytics – Big Data. To be able to handle it and leverage a value of having access to Big Data, organizations have no other choice than to get proper systems implemented and working. However traditional methods are not efficient for changing business needs. The long time between project start and go-live causes a gap between initial solution blueprint and actual user requirements in the end of the project. This article presents the latest market trends in BI systems implementation by comparing Agile with traditional methods. It presents a case study provided in a large telecommunications company (20K employees) and the results of a pilot research provided in the three large companies: telecommunications, digital, and insurance. Both studies prove that Agile methods might be more effective in BI projects from an end-user perspective and give first results and added value in a much shorter time compared to a traditional approach. http://www.informingscience.org/Publications/3515 Agile methods Business Intelligence efficiency end-users needs advanced analytics sprint iteration eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-06-17 19 173 200 3520 article Cheng Sun csun@binghamton.edu Rita Spathis rspathis@gmail.com Chim W. Chan chim.chan@ki.se Krithivasan Sankaranarayanan ksankar@ou.edu J. Koji Lum klum@binghamton.edu The all-pervasive Internet has created serious problems, such as Internet overuse, which has triggered considerable debate over its relationship with addiction. To further explore its genetic susceptibilities and alternative explanations for Internet overuse, we proposed and evaluated four hypotheses, each based on existing knowledge of the biological bases of addiction, inattention, novelty-seeking, and harm-avoidance. Four genetic loci including DRD4 VNTR, DRD2 Taq1A, COMT Val158Met and 5-HTTLPR length polymorphisms were screened from seventy-three individuals. Our results showed that the DRD4 4R/4R individuals scored significantly higher than the 2R or 7R carriers in Internet Addiction Test (IAT). The 5-HTTLPR short/short males scored significantly higher in IAT than the long variant carriers. Bayesian analysis showed the most compatible hypothesis with the observed genetic results was based on attention (69.8%), whereas hypotheses based harm-avoidance (21.6%), novelty-seeking (7.8%) and addiction (0.9%) received little support. Our study suggests that carriers of alleles (DRD4 2R and 7R, 5-HTTLPR long) associated with inattentiveness are more likely to experience disrupted patterns and reduced durations of Internet use, protecting them from Internet overuse. Furthermore, our study suggests that Internet overuse should be categorized differently from addiction due to the lack of shared genetic contributions. http://www.informingscience.org/Publications/3520 Internet overuse; inattentiveness; dopamine receptor D4 gene (DRD4); serotonin transporter gene (5-HTTLPR); Internet Addiction Test eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-07-02 19 201 213 3525 article Sonja H Bickford bickfordsh@unk.edu Angela K Hollman hollmanak@unk.edu Marina Nenasheva m.nenasheva@narfu.ru Pamela Lesser pamela.lesser@ulapland.fi Timo Koivurova timo.koivurova@ulapland.fi In many cases, temporary websites may be simple, accessible solutions for knowledge management and dissemination of information. However, such sites may become outdated as the funding ends, but yet in many cases, still publicly available through the Internet. The issue of website sustainability is a relevant topic for all organizations that have websites. Website lifecycle, knowledge management, and website sustainability issues are discussed through a theoretical-based literature review. These issues are then summarized and used as lessons learned for the case study approach of this paper. The aim is to identify a solution to address a website’s life and longevity, post project. A practical case study assessment of the issue of project website sustainability is needed to address the website’s longevity—post project—as creation is often made through temporary endeavors. Recommendations for future project websites are made as the outcomes and results of this study and are expressed in the form of suggested practices for project website sustainability in future projects. http://www.informingscience.org/Publications/3525 websites lifecycle knowledge management sustainability case study eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-08-02 19 215 237 3534 article Mohammad A. Alajmi moh_ku@hotmail.com Awadh H. Alharbi Ah.alharbi@paaet.edu.kw Husain F. Ghuloum hf.ghuloum@paaet.edu.kw Based on the diffusion of innovation (DOI) theory (Rogers, 2003), the uses and gratifications (U&G) theory, and trust theory, this study investigated the factors that influence the use of Twitter among the Kuwaiti community. The study surveyed Twitter users in Kuwait. A structured online questionnaire was used to collect data, and 463 respondents who provided complete answers participated. Multiple regression analysis was used to examine the effect of three theoretical perspectives on Twitter usage. The result of the analysis showed that Twitter usage is better explained by DOI constructs than by U&G constructs. The findings indicated that the perceived relative advantage from DOI, and the need for information, need to pass time, and need for interpersonal utility from the U&G approach, have a direct positive significant effect on the use of Twitter. None of the trust theory constructs was found to be significant in predicting the general use of Twitter. The study results help Twitter providers and users in individual or organizational contexts to understand what factors generally affect the usage of the Twitter service. http://www.informingscience.org/Publications/3534 social media microblogging Kuwait diffusion of innovation motivations trust objects communication technology eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-08-30 19 239 251 3543 article Emad Moaddab emad.moaddab@gmail.com In his “Theses on the Philosophy of History”, Walter Benjamin suggests that all cultural treasures “owe their existence not only to the efforts of the great minds and talents who have created them, but also to the anonymous toil of their contemporaries. There is no document of civilization which is not at the same time a document of barbarism”. The most obvious and prominent examples of cultural treasures in Benjamin’s discourses can be found in monumental architectural works, and history has shown that rulers have really been interested in such splendor stone statements. Benjamin’s discourse challenges a dominant idea that seeks to give an ambitious image of these architectural works with the purpose of confirming and endorsing a splendid cultural past so that it can give shape to an integrated and arbitrary cultural geography. This theoretical study, which has been conducted using library resources, employing the discourse and method of “cinematic thinking”, attempts to review the role of these monumental architectural works in estab-lishing and shaping national cultural geography. This process is an effort to open boundaries of theorization in area of art and architecture, with the help of ideas that moving cinematic images leave in place. http://www.informingscience.org/Publications/3543 cinematic thinking monumental architectural works cultural documents montage cultural imaginary geography eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-09-27 19 253 275 3569 article Layla Hasan l.hasan2@yahoo.co.uk This research aims to suggest key design characteristics that are necessary for developing usable e-commerce websites in the Arab world. A comprehensive usability evaluation of four leading Arab e-commerce websites was conducted using the heuristic evaluation method. The results identified major and minor usability problems and major and minor good design characteristics on the selected websites. Based on the results, 51 key design characteristics were suggested. The recommended key design characteristics comprised two levels according to their priority: level one which includes mandatory key design characteristics and level two which includes supplementary design characteristics. The key design characteristics in each level were categorized under specific pages and areas that can be found on any e-commerce website. Such categorizations could direct website evaluators and designers to important pages and areas that should be considered to improve the overall usability of e-commerce websites. The results of this research are particularly important to developing countries which are still facing challenges that may affect the design and accessibility of usable and useful websites. These relate to low speed of accessing the Internet and a lack of website designers who have experience in customers’ needs and websites’ usable design characteristics. http://www.informingscience.org/Publications/3569 key design characteristics usability e-commerce websites Arab world heuristic evaluation informing eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-10-04 19 277 301 3573 article Marc Pelteret marc@pelteret.net Jacques Ophoff jacques.ophoff@uct.ac.za The privacy of personal information is an important area of focus in today’s electronic world, where information can so easily be captured, stored, and shared. In recent years it has regularly featured as a topic in news media and has become the target of legislation around the world. Multidisciplinary privacy research has been conducted for decades, yet privacy remains a complex subject that still provides fertile ground for further investigation. This article provides a narrative overview of the nature of information privacy, describing the complexities and challenges that consumers and organizations face when making decisions about it, in order to demonstrate its importance to both groups. Based on this work, we present a transdisciplinary view of information privacy research linking the consumer and organization. It illustrates areas of concern for consumers and organizations together with the factors that influence the decisions they make about information privacy. By providing such a view we hope to encourage further cross-disciplinary research into this highly pertinent area. http://www.informingscience.org/Publications/3573 privacy information privacy personal information privacy management consumers clients transdisciplinary organizations literature review eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-10-31 19 303 324 3580 article Elsje Scott elsje.scott@uct.ac.za Terrina Govender terrina.govender@dalberg.com Nata van der Merwe natavdm@gmail.com In the fast changing global economic landscape, the cultivation of sustainable entrepreneurial ventures is seen as a vital mechanism that will enable businesses to introduce new innovative products to the market faster and more effectively than their competitors. This research paper investigated phenomena that may play a significant role when entrepreneurs implement creative ideas resulting in successful technology enabled start-ups within the South African market place. Constant and significant changes in technology provide several challenges for entrepreneurship. Various themes such as innovation, work experience, idea generation, education and partnership formation have been explored to assess their impact on entrepreneurship. Reflection and a design thinking approach underpinned a rigorous analysis process to distill themes from the data gathered through semi structured interviews. From the findings it was evident that the primary success influencers include the formation of partnership, iterative cycles, and certain types of education. The secondary influencers included the origination of an idea, the use of innovation. and organizational culture as well as work experience. This research illustrates how Informing Science as a transdisicpline can provide a philosophical underpinning to communicate and synthesise ideas from constituent disciplines in an attempt to create a more cohesive whole. This diverse environment, comprising people, technology, and business, requires blending different elements from across diverse fields to yield better science. With this backdrop, this preliminary study provides an important foundation for further research in the context of a developing country where entrepreneurial ventures may have a socio-economical impact. The themes that emerged through this study could provide avenues for further research. http://www.informingscience.org/Publications/3580 entrepreneurial start-ups partnerships education idea generation innovation design thinking common features for the foundation of a successful company eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-10-31 19 325 343 3579 article Chris W Callaghan chris.callaghan@wits.ac.za Certain trends in scientific research have important relevance to bioethics theory and practice. A growing stream of literature relates to increasing transparency and inclusivity of populations (stakeholders) in scientific research, from high volume data collection, synthesis, and analysis to verification and ethical scrutiny. The emergence of this stream of literature has implications for bioethics theory and practice. This paper seeks to make explicit these streams of literature and to relate these to bioethical issues, through consideration of certain extreme examples of scientific research where bioethical engagement is vital. Implications for theory and practice are derived, offering useful insights derived from multidisciplinary theory. Arguably, rapidly developing fields of citizen science such as informing science and others seeking to maximise stakeholder involvement in both research and bioethical engagement have emerged as a response to these types of issues; radically enhanced stakeholder engagement in science may herald a new maximally inclusive and transparent paradigm in bioethics based on lessons gained from exposure to increasingly uncertain ethical contexts of biomedical research. http://www.informingscience.org/Publications/3579 biomedical ethics citizen science informing science probabilistic innovation crowdsourcing transparency scientific inclusiveness eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-11-01 19 345 379 3566 article Ulrich Schmitt schmitt@knowcations.org The article presents Personal Knowledge Management (PKM) as an overdue individualized as well as a collaborative approach for knowledge workers. Designing a PKM-supporting system, however, resembles a so-called “wicked” problem (ill-defined; incomplete, contradictory, changing requirements, complex interdependencies) where the information needed to understand the challenges depends on upon one’s idea for solving them. Accordingly, three main areas are attended to. Firstly, in dealing with a range of growing complexities, the notion of Popper’s Worlds is applied as three distinct spheres of reality and further expanded into six digital ecosystems (technologies, extelligence, society, knowledge worker, institutions, and ideosphere) that not only form the basis for the PKM System Concept named ‘Knowcations’ but also form a closely related Personal Knowledge Management for Development (PKM4D) framework detailed in a separate dedicated paper. Reflecting back on a United Nations scenario of knowledge mass production (KMP) over time, the complexities closely related to the digital ecosystems and the inherent risks of today’s accelerating attention-consuming over-abundance of redundant information are scrutinized, concluding in a chain of meta-arguments favoring the idea of the PKM concept and system put forward. Secondly, in light of the digital ecosystems and complexities introduced, the findings of a prior article are further refined in order to assess the PKM concept and system as a potential General-Purpose-Technology. Thirdly, the development process and resulting prototype are verified against accepted general design science research (DSR) guidelines. DSR aims at creating innovative IT artifacts (that extend human and social capabilities and meet desired outcomes) and at validating design processes (as evidence of their relevance, utility, rigor, resonance, and publishability). Together with the incorporated references to around thirty prior publications covering technical and methodological details, a kind of ‘Long Discussion Case’ emerges aiming to potentially assist IT researchers and entrepreneurs engaged in similar projects. http://www.informingscience.org/Publications/3566 Personal Knowledge Management (PKM) Design Science Research (DSR) Informing Science (IS) Popper’s Three Worlds Knowledge Worker Organizational Knowledge Man-agement (OKM) Human Capital Capacity Development Lifelong learning Digital Ecosystems Complexity Memes Memex Knowcations eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2016-11-03 19 381 409 3570 article Junghyun Nam jhnamgm@gmail.com Web portals have been used as information products to deliver personalized, feature-rich, and flexible information needs to Internet users. However, all portals are not equal. Most of them have relatively a small number of visitors, while a few capture the majority of surfers. This study seeks to uncover the factors that contribute the perceived quality of a general portal. Based on 21 factors derived from an extensive literature review on Information Product Quality (IPQ), web usage, and media use, an experimental study was conducted to identify the factors that are perceived by web portal users as most relevant. The literature categorizes quality factors of an information product in three dimensions: information, physical, and service. This experiment suggests a different clustering of factors: Content relevancy, Communication interactiveness, Information currency, and Instant gratification. The findings in this study will help developers find a more customer-oriented approach to developing high-traffic portals. http://www.informingscience.org/Publications/3570 web portal web portal quality information quality information product quality perceived quality; intention to use eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-04-14 18 i iii 2178 article Grandon Gill grandon@grandon.com Table of Contents http://www.informingscience.org/Publications/2178 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-05-11 18 001 030 2160 article Kevin A. Johnston kevin.johnston@uct.ac.za Chad Petersen ptrcha016@myuct.ac.za The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Data was collected from a survey questionnaire, which was successfully completed by over 100 students from all 5 universities within the Western Cape. The questionnaire was obtained from a previous study, allowing comparisons to be made. Analysis of the results however, did not show a strong relationship between the intensity of Facebook and Twitter usage, and the various forms of social capital. Facebook usage was found to correlate with student’s satisfaction with university life; which suggests that increasing the intensity of Facebook usage for students experiencing low satisfaction with university life might be beneficial. http://www.informingscience.org/Publications/2160 Facebook Twitter Cognitive Social Capital Bridging Social Capital Bonding Social Capital Maintained Social Capital Usage University Students eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-02 18 031 047 2288 article Andreas Drechsler a@andreas-drechsler.de This paper identifies areas in the design science research (DSR) subfield of the information systems (IS) discipline where a more detailed consideration of practitioner audiences of socio-technical design artifacts could improve current IS DSR research practice and proposes an initial conceptualization of these audiences. The consequences of not considering artifact audiences are identified through a critical appraisal of the current informing science lenses in the IS DSR literature. There are specific shortcomings in four areas: 1) treating practice stakeholders as a too homogeneous group, 2) not explicitly distinguishing between social and technical parts of socio-technical artifacts, 3) neglecting implications of the artifact abstraction level, and 4) a lack of explicit consideration of a dynamic or evolutionary fitness perspective of socio-technical artifacts. The findings not only pave the way for future research to further improve the conceptualization of artifact audiences, in order to improve the informing power – and thus, impact on practice and research relevance – of IS DSR projects; they can also help to bridge the theory-practice gap in other disciplines (e.g. computer science, engineering, or policy-oriented sociology) that seek to produce social and/or technical artifacts of practical relevance. http://www.informingscience.org/Publications/2288 design science informing science artifacts artifact audiences relevance fitness utility eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-17 18 047 061 2293 article Dimitar Grozdanov Christozov dchristozov@yahoo.com Stefanka Chukova stefanka@gmail.com Plamen Mateev pmat@fmi.uni-sofia.bg This paper discusses applications of the measures of the risk of misinforming and the role of the warranty of misinforming in the context of the informing component of Customer Related Management (CRM) issues. This study consists of two parts. Firstly, we propose an approach for customers’ grouping based on their attitude toward assessing product's properties and their expertise on the terminology/domain of the seller’s message describing the product. Also we discuss what the most appropriate personal/group warranty is for each of these group/clusters.  http://www.informingscience.org/Publications/2293 measures of the risk of misinforming warranty of misinforming customer related management customer’s purchase attitude customers expertize eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-02 18 063 109 2289 article Grandon Gill grandon@grandon.com William F Murphy wmurphy@usf.edu Sandra Sanchez Murphy ssanche2@mail.usf.edu Raymond R Buettner buettner@nps.edu The Joint Interagency Field Experimentation (JIFX) event, organized by the Naval Postgraduate School (NPS), is conducted 3-4 times a year at various locations. The four day event can be characterized as an informing system specifically designed to facilitate structured and unstructured communications between a variety of parties—e.g., software developers, inventors, military and civilian users of various technologies, academics, and agencies responsible for identifying and procuring technology solutions—that frequently are constrained in their informing activities in more restrictive venues. Over the course of the event, participants may observe technology demonstrations, obtain feedback from potential users, acquire new ideas about their technologies might be employed and, perhaps most significantly, engage in ad hoc collaborations with other participants. The present paper describes an exploratory case research study that was conducted over a one year period and involved both direct observation of the event and follow-up interviews with 49 past participants in the event. The goal of the research was to assess the nature of participant-impact resulting from attending JIFX and to consider the consistency of the findings with the predictions of various theoretical frameworks used in informing science. The results suggest that participants perceived that the event provided significant value from three principal sources: discovery, interaction with potential clients (users) of the technologies involved, and networking with other participants. These findings were largely consistent with what could be expected from informing under conditions of high complexity; because value generally derives from combinations of attributes rather than from the sum of individual attributes, we would expect that overall value from informing activities will be perceived even though estimates of the incremental value of that informing cannot be made. http://www.informingscience.org/Publications/2289 JIFX informing system complexity disaster management ad hoc experimentation collaboration military eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-02 18 111 125 2165 article Meg Coffin Murray isdoctor@gmail.com Jorge Pérez jperez@kennesaw.edu Technology has transformed education, perhaps most evidently in course delivery options. However, compelling questions remain about how technology impacts learning. Adaptive learning tools are technology-based artifacts that interact with learners and vary presentation based upon that interaction. This paper compares adaptive learning with a conventional teaching approach implemented in a digital literacy course. Current research explores the hypothesis that adapting instruction to an individual’s learning style results in better learning outcomes. Computer technology has long been seen as an answer to the scalability and cost of individualized instruction. Adaptive learning is touted as a potential game-changer in higher education, a panacea with which institutions may solve the riddle of the iron triangle: quality, cost and access. Though the research is scant, this study and a few others like it indicate that today’s adaptive learning systems have negligible impact on learning outcomes, one aspect of quality. Clearly, more research like this study, some of it from the perspective of adaptive learning systems as informing systems, is needed before the far-reaching promise of advanced learning systems can be realized. http://www.informingscience.org/Publications/2165 Adaptive learning adaptive learning system personalized learning systems iron triangle informing science eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-02 18 127 144 2270 article Dan Bouhnik Dan.Bouhnik@biu.ac.il Yahel Giat yahel@jct.ac.il In today’s knowledge environment, individuals and groups who gather relevant information about the organization’s external environment and distribute that information for use by their colleagues receive increasing attention and are viewed with great importance. These individuals have been named Information Gatekeepers. Thus far, researchers have not established a unanimous and interdisciplinary definition regarding the human information gatekeeper. Nonetheless, a recurrent theme in previous papers regards gatekeepers as a select few throughout the organization. This approach creates two kinds of employees based on a specific set of criteria – those who are gatekeepers and those who are not. The main goal of this research is to examine whether gate keeping is an individual attribute that exists or does not exist within the organization, or whether gate keeping is a continuous attribute that exists within every member and throughout the organization in varying intensity subject to differences in personal characteristics and other factors. We find that evidence to the existence of latter approach is significant and suggest practical recommendations that arise from these findings. http://www.informingscience.org/Publications/2270 Information environment gatekeeper organizational knowledge organizational learning eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-02 18 145 175 2161 article Ulrich Schmitt schmitt@knowcations.org The paper introduces a novel Personal Knowledge Management (PKM) concept and prototype system. The system’s objective is to aid life-long-learning, resourcefulness, creativity, and teamwork of individuals throughout their academic and professional life and as contributors and beneficiaries of organizational and societal performance. Such a scope offers appealing and viable opportunities for stakeholders in the educational, professional, and developmental context. To further validate the underlying PKM application design, the systems thinking techniques of the transdiscipline of Informing Science (IS) are employed. By applying Cohen’s IS-Framework, Leavitt’s Diamond Model, the IS-Meta Approach, and Gill’s and Murphy’s Three Dimensions of Design Task Complexity, the more specific KM models and methodologies central to the PKMS concept are aligned, introduced, and visualized. The extent of this introduction offers an essential overview, which can be deepened and broadened by using the cited URL and DOI links pointing to the available resources of the author’s prior publications. The paper emphasizes the differences of the proposed meme-based PKM System compared to its traditional organizational document-centric counterparts as well as its inherent complementing synergies. As a result, it shows how the system is closing in on Vannevar Bush’s still unfulfilled vison of the ‘Memex’, an as-close-as-it-gets imaginary ancestor celebrating its 70th anniversary as an inspiring idea never realized. It also addresses the scenario recently put forward by Levy which foresees a decentralizing revolution of knowledge management that gives more power and autonomy to individuals and self-organized groups. Accordingly, it also touches on the PKM potential in terms of Kuhn’s Scientific Revolutions and Disruptive Innovations. http://www.informingscience.org/Publications/2161 Personal Knowledge Management (PKM) Organizational Knowledge Management (OKM) PKM for Development (PKM4D) Informing Science Framework Human Capital Capacity Development Lifelong learning Memes Memex Knowcations Disruptive Innovations Kuhn’s Scientific Revolutions eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-06-05 18 177 204 2264 article Andrew S Targowski andrew.targowski@wmich.edu The purpose of this investigation is to define the central contents and issues of the impact of informing systems on the rise and development of Virtual Civilization. The methodology is based on an interdisciplinary big-picture view of the Virtual Civilization’s elements of development and their interdependency. Among the findings are: Virtual Civilization has infrastructural characteristics, a world-wide unlimited, socially constructed work and leisure space in cyberspace, and it can last centuries/millennia - as long as informing systems are operational. Practical implications: The mission of Virtual Civilization is to control the public policy of real civilizations in order to secure the common good in real societies. Social implication: The quest for the common good by virtual society may limit or even replace representative democracy by direct democracy which, while positively solving some problems, may eventually trigger permanent political chaos in real civilizations. Originality: This investigation, by providing an interdisciplinary and civilizational approach at the big-picture level defined the ethics question of the role of informing systems in the development of Virtual Civilization. http://www.informingscience.org/Publications/2264 Informing systems Informing science Information Wave Virtual Wave Civilization Global Civilization Virtual Civilization Virtuality Cyberspace Cognitive space e-Nation eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-06-16 18 205 224 2196 article Sabah Al-Fedaghi sabah@alfedaghi.com Heba AlMeshari h_almeshari@yahoo.com Understanding of social network structure and user behavior has important implications for site design, applications (e.g., ad placement policies), accurate modeling for social studies, and design of next-generation infrastructure and content distribution systems. Currently, characterizations of social networks have been dominated by topological studies in which graph representations are analyzed in terms of connectivity using techniques such as degree distribution, diameter, average degree, clustering coefficient, average path length, and cycles. The problem is that these parameters are not completely satisfactory in the sense that they cannot account for individual events and have only limited use, since one can produce a set of synthetic graphs that have the exact same metrics or statistics but exhibit fundamentally different connectivity structures. In such an approach, a node drawn as a small circle represents an individual. A small circle reflects a black box model in which the interior of the node is blocked from view. This paper focuses on the node level by considering the structural interiority of a node to provide a more fine-grained understanding of social networks. Node interiors are modeled by use of six generic stages: creation, release, transfer, arrival, acceptance, and processing of the artifacts that flow among and within nodes. The resulting description portrays nodes as comprising mostly creators (e.g., of data), receivers/senders (e.g., bus boys), and processors (re-formatters). Two sample online social networks are analyzed according to these features of nodes. This examination points to the viability of the representational method for characterization of social networks. http://www.informingscience.org/Publications/2196 Social network network structure user behaviors node interior conceptual representation eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-08-31 18 225 234 2294 article J. David Johnson jdj@uky.edu Tensions are a ubiquitous feature of social life and are manifested in a number of particular forms: contradictory logics, competing demands, clashes of ideas, contradictions, dialectics, irony, paradoxes, and/or dilemmas. This essay aims to explore in detail tensions surrounding seven common findings of the information seeking literature relating to: interpersonal communication, accessibility, level of skill, individual preferences, psychological limits, inertia, and costs. Our incomplete understanding of these tensions can lead us to suggest resolutions that do not recognize their underlying dualities. Human information behavior stands at the intersection of many important theoretical and policy issues (e.g., personalized medicine). Policy makers need to be more attuned to these basic tensions of information seeking recognizing the real human limits they represent to informing the public. So, even if you build a great information system, people will not necessarily use it because of the force of these underlying tensions. While rationality rules systems, irrationality rules people. The proliferation of navigator roles over the last several years is actually a hopeful sign: recognition that people need a human interface to inform them about our ever more complex health care systems. http://www.informingscience.org/Publications/2294 Human information behavior; health information seeking; tensions; paradoxes dilemmas eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2015-10-20 18 235 266 2316 article Andrew S Targowski andrew.targowski@wmich.edu The purpose of this investigation is to define the architecture of computer informing systems. The methodology is based on an interdisciplinary, big-picture view of the cognition units which provide the foundation for informing systems. Among the findings are the following: informing systems should be designed for rigor and relevance with respect to the cognitive units (information), integrating its purpose and goal to achieve its expected utility; informing systems should also be designed for reasoning richness, informing modes, informing quality, and predicting informing biases and filters. Practical implications: A well-designed informing system should provide as an output a message and resonant change by reflecting information that triggers the client’s behavior. Social implication: The quest for the development of informing systems is not supported by Academia in practice; it is only supported by a close circle of early leaders of such systemic applications who sought to enhance the existing information systems which very often process data but do not inform as they should. Originality: This investigation, by providing an interdisciplinary and graphic modeling of informing channels and systems, indicates the vitality of these systems and their potential to create better decision-making in order to solve problems and sustain organizations and civilization. http://www.informingscience.org/Publications/2316 cognition units informing systems information systems information rigor information relevance informing resonance resonant change informing purpose reasoning richness informing quality informing security informing space wise civilization cognitive space real space cyberspace data information concept knowledge wisdom information perspective information image eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 i iii 1931 article Grandon Gill grandon@grandon.com http://www.informingscience.org/Publications/1931 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 001 024 1932 article Brandon Phillips brandon.phillips@unt.edu Victor R. Prybutok prybutok@unt.edu Daniel A. Peak peak@unt.edu http://www.informingscience.org/Publications/1932 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 025 057 1933 article Daniel A. Peak peak@unt.edu Victor R. Prybutok prybutok@unt.edu Michael Gibson michael.gibson@unt.edu Yu "Andy" Wu andy.wu@unt.edu Chenyan Xu chenyan.xu@stockton.edu http://www.informingscience.org/Publications/1933 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 059 073 1949 article Irena Malgorzata Ali Irena.ali@dsto.defence.gov.au http://www.informingscience.org/Publications/1949 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 075 093 1950 article Robert Losee loseeunc@gmail.com http://www.informingscience.org/Publications/1950 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 095 101 1955 article Stewart C. Baker bakersc@mail.wou.edu http://www.informingscience.org/Publications/1955 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 103 132 1956 article Alan R. Hevner ahevner@usf.edu Christopher Davis davisc@mail.usf.edu Rosann Webb Collins rwcollins@usf.edu Grandon Gill grandon@grandon.com http://www.informingscience.org/Publications/1956 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 133 148 1961 article Bob Travica btravica@cc.umanitoba.ca http://www.informingscience.org/Publications/1961 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 149 173 1974 article Karl T. Knox karl.knox@ntu.ac.uk http://www.informingscience.org/Publications/1974 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 175 187 2030 article Jason H. Sharp jsharp@tarleton.edu Sherry D. Ryan sherry.ryan@unt.edu Victor R. Prybutok prybutok@unt.edu http://www.informingscience.org/Publications/2030 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 189 215 2045 article Eli Cohen eli@informingscience.org Scott J. Lloyd sjlloyd@uri.edu http://www.informingscience.org/Publications/2045 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 217 239 2046 article Shirley Gregor Shirley.Gregor@anu.edu.au Alan R. Hevner ahevner@usf.edu http://www.informingscience.org/Publications/2046 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 241 273 2047 article Jay Bernstein jay.bernstein@kbcc.cuny.edu http://www.informingscience.org/Publications/2047 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 275 294 2053 article Grafton Whyte drgwhyte@live.com Desire Minnaar desire.minnaar@gmail.com http://www.informingscience.org/Publications/2053 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2014-01-01 17 295 308 2054 article Sabah Al-Fedaghi sabah@alfedaghi.com http://www.informingscience.org/Publications/2054 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 i iii 1760 article http://www.informingscience.org/Publications/1760 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 001 018 1761 article Lixuan Zhang gzhang@gru.edu Robert Pavur robert.pavur@unt.edu Paul York pyork@gru.edu Clinton Amos clint.amos@gmail.com http://www.informingscience.org/Publications/1761 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 019 036 1773 article Gayle Prybutok GaylePrybutok@my.unt.edu http://www.informingscience.org/Publications/1773 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 037 069 1777 article Michael J. Magro mmagro@su.edu Sherry D. Ryan sherry.ryan@unt.edu Victor R. Prybutok prybutok@unt.edu http://www.informingscience.org/Publications/1777 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 071 098 1778 article Grandon Gill grandon@grandon.com http://www.informingscience.org/Publications/1778 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 099 115 1779 article Meg Coffin Murray isdoctor@gmail.com Jorge Pérez jperez@kennesaw.edu Debra Geist dgeist1@kennesaw.edu Alison Hedrick ahedric1@kennesaw.edu http://www.informingscience.org/Publications/1779 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 117 130 1780 article Amanda Regolini amanda.regolini@irstea.fr Emmanuelle Jannès-Ober emmanuelle.jannes-ober@irstea.fr http://www.informingscience.org/Publications/1780 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 131 145 1783 article April H. Reed reeda@ecu.edu Linda V. Knight lindaharvey@fastmail.us http://www.informingscience.org/Publications/1783 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 147 164 1883 article Fjodor Ruzic Fjodor.Ruzic@open.hr http://www.informingscience.org/Publications/1883 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 165 185 1886 article G. Thomas Fox tfox@nl.edu http://www.informingscience.org/Publications/1886 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2013-01-01 16 187 195 1905 article John C. 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Bednar Christine Welch christine.welch@port.ac.uk http://www.informingscience.org/Publications/468 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2007-01-01 10 D 297 317 654 article Hans-Erik Nissen http://www.informingscience.org/Publications/654 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2007-01-01 10 D 319 324 655 article http://www.informingscience.org/Publications/655 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 676 article http://www.informingscience.org/Publications/676 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 001 030 469 article Grandon Gill grandon@grandon.com Richard C. Hicks rhicks@tamiu.edu http://www.informingscience.org/Publications/469 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 031 047 470 article Sven Abels abels@ascora.de Axel Hahn http://www.informingscience.org/Publications/470 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 049 069 471 article Kieren Jamieson k.jamieson@cqu.edu.au Paul Hyland p.hyland@cqu.edu.au http://www.informingscience.org/Publications/471 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 071 081 472 article Alex Koohang Alex.Koohang@MaconState.edu Keith Harman keith.harman@okbu.edu http://www.informingscience.org/Publications/472 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 083 096 473 article Bernd Carsten Stahl bstahl@dmu.ac.uk http://www.informingscience.org/Publications/473 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 097 110 474 article Anton Nijholt anijholt@cs.utwente.nl http://www.informingscience.org/Publications/474 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 111 121 475 article Eltahir F. Kabbar e.f.kabbar@massey.ac.nz Barbara J. Crump b.j.crump@massey.ac.nz http://www.informingscience.org/Publications/475 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 123 142 476 article David B. Meinert davidmeinert@missouristate.edu Dane K. Peterson danepeterson@missouristate.edu John R. Criswell Ii jrcriswell@ccis.edu Martin D. Crossland martin.crossland@okstate.edu http://www.informingscience.org/Publications/476 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 143 162 477 article Martine Robinson Beachboard beacmart@isu.edu John C. Beachboard beach@isu.edu http://www.informingscience.org/Publications/477 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 163 179 478 article Cecilia Lanyi Sik lanyi@almos.vein.hu Zoltan Geiszt geiszt@vision.vein.hu Viktor Magyar http://www.informingscience.org/Publications/478 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 181 212 479 article Yair Levy levyy@nova.edu Timothy J. Ellis ellist@nova.edu http://www.informingscience.org/Publications/479 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 213 223 480 article William Hutchinson w.hutchinson@ecu.edu.au http://www.informingscience.org/Publications/480 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 225 241 481 article the late Zbigniew J. Gackowski ZGackowski@csustan.edu http://www.informingscience.org/Publications/481 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2006-01-01 9 243 258 482 article Nik R. Hassan nhassan@d.umn.edu http://www.informingscience.org/Publications/482 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 675 article http://www.informingscience.org/Publications/675 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 001 001 483 article Nalin Sharda Nalin.Sharda@vu.edu.au http://www.informingscience.org/Publications/483 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 003 038 484 article Ralf Klamma klamma@informatik.rwth-aachen.de Marc Spaniol Matthias Jarke http://www.informingscience.org/Publications/484 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 039 054 485 article Marco Furini Marco Roccetti http://www.informingscience.org/Publications/485 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 055 073 486 article Suprateek Sarker sarkers@cbe.wsu.edu Jennifer Nicholson nicholsonj@rowan.edu http://www.informingscience.org/Publications/486 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 075 086 488 article Alex Koohang Alex.Koohang@MaconState.edu Keith Harman keith.harman@okbu.edu http://www.informingscience.org/Publications/488 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 087 100 489 article Tuija Stützle Jorma Sajaniemi http://www.informingscience.org/Publications/489 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 101 122 490 article the late Zbigniew J. Gackowski ZGackowski@csustan.edu http://www.informingscience.org/Publications/490 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 123 142 491 article Jan-Oddvar Sørnes Jan-Oddvar.Sornes@uin.no Keri Keilberg Stephens Larry Davis Browning Alf Steinar Sætre alfs@iot.ntnu.no http://www.informingscience.org/Publications/491 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 143 158 492 article Zlatko J. Kovacic Zlatko.Kovacic@openpolytechnic.ac.nz http://www.informingscience.org/Publications/492 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 159 172 493 article Shirlee-Ann Knight s.knight@ecu.edu.au Janice Burn j.burn@ecu.edu.au http://www.informingscience.org/Publications/493 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 173 187 494 article Jens Mende http://www.informingscience.org/Publications/494 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 189 210 495 article Jens Mende http://www.informingscience.org/Publications/495 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 211 244 496 article Bob Travica btravica@cc.umanitoba.ca http://www.informingscience.org/Publications/496 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 245 262 497 article Aleksandar Spasic aspasic@string.co.yu Miloje Nesic mneshich@medianis.net http://www.informingscience.org/Publications/497 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 263 279 498 article Stephen D. Sorden steve@sorden.com http://www.informingscience.org/Publications/498 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2005-01-01 8 281 302 499 article John E. Anderson andersonj@ecu.edu Kevin S. Barrett barrett@dixie.edu Paul H. 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Mccauley-Bell mcbell@mail.ucf.edu Linda C. Malone lmalone@mail.ucf.edu Ronald F. Demara http://www.informingscience.org/Publications/503 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2004-01-01 7 0087 103 504 article Arthur Tatnall arthur.tatnall@vu.edu.au Bill Davies http://www.informingscience.org/Publications/504 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2004-01-01 7 0105 116 505 article Gary Randolph gbrandolph@purdue.anderson.edu http://www.informingscience.org/Publications/505 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2004-01-01 7 0117 128 506 article David J. LePoire dlepoire@anl.gov John J. Arnish Timothy R. Klett Robert L. 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Craven http://www.informingscience.org/Publications/509 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 013 019 510 article Brian Fitzgerald bf@ul.ie http://www.informingscience.org/Publications/510 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 021 029 511 article Michael Lang http://www.informingscience.org/Publications/511 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 031 048 512 article Daniel L. 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Rob rob@cl.uh.edu http://www.informingscience.org/Publications/516 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 101 102 517 article Eugene J. Rathswohl gener@sandiego.edu http://www.informingscience.org/Publications/517 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 103 114 518 article Briony J. 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Rathswohl gener@sandiego.edu http://www.informingscience.org/Publications/525 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 193 207 526 article Gunnar Ellingsen http://www.informingscience.org/Publications/526 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 209 220 527 article Linda Askenas Alf Westelius alf.westelius@liu.se http://www.informingscience.org/Publications/527 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 221 232 528 article Paul Sturges Anne Griffin http://www.informingscience.org/Publications/528 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 233 246 529 article Wallace J Taylor wallace.j.taylor@gmail.com Grant X. Zhu John Dekkers Stewart Marshall stewartmar@gmail.com http://www.informingscience.org/Publications/529 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 247 257 530 article Isola Ajiferuke iajiferu@uwo.ca http://www.informingscience.org/Publications/530 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2003-01-01 6 259 271 531 article Fons Wijnhoven a.b.j.m.wijnhoven@utwente.nl Edwin Van Den Belt Eddy Verbruggen Paul Van Der Vet http://www.informingscience.org/Publications/531 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 001 011 532 article Nagib Callaos ncallaos@usb.ve Belkis Callaos http://www.informingscience.org/Publications/532 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 013 036 533 article Mary Helen Fagan mfagan@uttyler.edu http://www.informingscience.org/Publications/533 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 019 027 534 article Adi Armoni armonia@colman.ac.il http://www.informingscience.org/Publications/534 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 029 041 535 article Steven John Simon http://www.informingscience.org/Publications/535 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 043 047 536 article Christopher Lueg christopher.lueg@utas.edu.au http://www.informingscience.org/Publications/536 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 049 065 537 article Youcef Baghdadi ybaghdadi@squ.edu.om http://www.informingscience.org/Publications/537 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 067 078 538 article Chris Cope c.cope@latrobe.edu.au http://www.informingscience.org/Publications/538 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 079 093 539 article Petter Gottschalk petter.gottschalk@bi.no http://www.informingscience.org/Publications/539 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 095 111 540 article Tomas A. Lipinski http://www.informingscience.org/Publications/540 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 113 114 541 article Informing Science Institute BettyBoyd@informingscience.org http://www.informingscience.org/Publications/541 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 115 123 542 article Rod Carveth rodcarveth@hotmail.com Susan B. 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Huarng http://www.informingscience.org/Publications/547 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 175 187 548 article Madhan Mohan Thirukonda Shirley Ann Becker http://www.informingscience.org/Publications/548 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 189 218 549 article Petter Gottschalk petter.gottschalk@bi.no http://www.informingscience.org/Publications/549 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2002-01-01 5 219 224 550 article David M. Compton William H. Burkett burkettwh@hotmail.com Gail G. Burkett burkettg@pbcc.edu http://www.informingscience.org/Publications/550 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 001 010 551 article Petter Gottschalk petter.gottschalk@bi.no Hans Solli-Sæther http://www.informingscience.org/Publications/551 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 011 106 552 article Mahesh S. Raisinghani mike_rai@yahoo.com http://www.informingscience.org/Publications/552 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 017 024 553 article Nick Lethbridge http://www.informingscience.org/Publications/553 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 025 034 554 article K. Nageswara Rao Kh Babu http://www.informingscience.org/Publications/554 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 035 043 555 article Anthony L. Politano http://www.informingscience.org/Publications/555 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 045 046 556 article Informing Science Institute BettyBoyd@informingscience.org http://www.informingscience.org/Publications/556 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 047 052 557 article Henry B. Wolfe hwolfe@infoscience.otago.ac.nz http://www.informingscience.org/Publications/557 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 2001-01-01 4 053 059 558 article Zlatko J. 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Pipino http://www.informingscience.org/Publications/601 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1999-01-01 2 061 068 602 article Hazel Taylor hztaylor@u.washington.edu http://www.informingscience.org/Publications/602 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1999-01-01 2 069 082 603 article Stafford Beer http://www.informingscience.org/Publications/603 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1999-01-01 2 083 086 604 article Wenjun (Kevin) Zeng Heather Yu heathery@research.panasonic.com http://www.informingscience.org/Publications/604 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1999-01-01 2 087 100 605 article N. Dimitrova http://www.informingscience.org/Publications/605 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1999-01-01 2 101 106 606 article Jie Liang http://www.informingscience.org/Publications/606 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1999-01-01 2 107 111 607 article Norishige Morimoto http://www.informingscience.org/Publications/607 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1998-01-01 1 001 007 608 article Felix Tan Hazel Chan http://www.informingscience.org/Publications/608 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1998-01-01 1 009 022 609 article Chris Cope c.cope@latrobe.edu.au Pat Horan P.Horan@latrobe.edu.au Mark Garner http://www.informingscience.org/Publications/609 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1998-01-01 1 023 029 610 article V. J. Hobbs Tanya J. Mcgill t.mcgill@murdoch.edu.au H. E. Rowe http://www.informingscience.org/Publications/610 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1998-01-01 1 031 036 611 article Pak Yoong http://www.informingscience.org/Publications/611 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1998-01-01 1 037 042 612 article Arlene August Judy Caouette JudyCaouette@compuserve.com http://www.informingscience.org/Publications/612 eng Informing Science Institute Informing Science: The International Journal of an Emerging Transdiscipline (InformingSciJ) 1547-9684 1521-4672 1998-01-01 1 043 051 613 article Daniel A. Peak peak@unt.edu Michael J. 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