Journal Articles
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Table of Contents for Volume 28 of Informing Science: The International Journal of an Emerging Transdiscipline, 2025
informing science, InfoSci, table of contents
.i - v
151 downloads
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 ...
computer-mediated communication, business planning, motivation, use and gratification
001
112 downloads
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 ...
informing, security issues, medical domain, healthcare, Deep Genetic Algorithm, Improvised Fuzzy Logic Algorithm
002
64 downloads
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 D ...
healthcare, service delivery, optimization, deep genetic algorithm, patient outcomes
003
91 downloads
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 study ...
Support Vector Machines (SVM), predictive modeling, lung cancer, Artificial Neural Networks (ANN), ensemble learning, Decision Trees (DT)
004
78 downloads
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 d ...
adaptive decision support systems, reinforcement learning, interpretability, healthcare, patient outcomes
005
87 downloads
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 adopt ...
healthcare, resource allocation, deep learning, convolutional neural networks, optimization
006
70 downloads
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 im ...
network security, DAE, DHeal, healthcare
007
76 downloads
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 compl ...
machine learning, Bayesian, hyperparameter, diabetes prediction, healthcare applications
008
94 downloads
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 c ...
deep fuzzy logic, healthcare modeling, discrete event simulation, linear optimization, hospital resource management
009
59 downloads
Temporal Graph Convolutional Networks for Predicting Disease Outbreaks in Public Health Surveillance
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 ...
disease, public health, temporal graph convolutional networks, spatiotemporal dynamics, prediction
010
55 downloads
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. Di ...
mandible articulation, differential genetic algorithm, forensic facial reconstruction, image overlay, automated alignment
011
52 downloads
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 ...
healthcare, biclustering, gene expression, SVM, LSTM, predictive modeling
012
75 downloads
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 app ...
CLABSI, deep learning, central line-associated bloodstream infections, electronic health records, risk prediction
013
42 downloads
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 ...
LSTM, encoder, decoder, predictive analytics
014
87 downloads
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 ...
bibliometric analysis, bibliographic coupling, Biblioshiny, disruption strategies, neuromarketing, VOSviewer
015
92 downloads
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 o ...
dengue prediction, transfer learning, deep attention mechanisms, predictive analytics, healthcare informatics
016
62 downloads
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 ...
Medical Image Analysis, Thyroid, Particle Swarm Optimization, Convolutional Neural Networks, Prediction
017
62 downloads
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 ...
evolutionary model, ensemble model, feature selection, classification
018
88 downloads
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 chall ...
COVID-19 pandemic, electronic information management, file naming practices, LIS postgraduate students, personal information management
019
102 downloads
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 ...
integrated marketing communication, persuasiveness, cross-media integration, psychological mechanisms, eye-tracking
020
103 downloads
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 q ...
employer branding, e-recruitment, intention to apply, Gen Z, state-owned enterprises
021
296 downloads
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 signific ...
data mining, online social networks, mental health, digital health communities, COVID-19, public health crisis
022
39 downloads
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 focu ...
Informing Science, transdisciplinary inquiry, embodied knowledge, sensory engagement, relational epistemology, knowledge transfer, systems thinking, creative synthesis, hexagonal model, practice-led research
023
18 downloads
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 ...
mobile learning management system, machine learning, technology acceptance model, K-means, sequential minimal optimization algorithm, correlation heatmap
024
48 downloads
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. ...
Mentoring, self-efficacy, succession, successor involvement, training, firm survival, family business, Nigeria
025
46 downloads
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 ...
perceptions, smart cities, sustainability, civic engagement, stakeholders, smart economy, smart mobility, smart people, smart governance, smart living, smart environment, Kuwait
026
40 downloads
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., pol ...
Wittgenstein, interreligious dialogue, narrative inquiry, Sri Lanka, Philippines, historical tensions, language games, rule-following
027
48 downloads
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, re ...
administrative performance, role ambiguity, role conflict, myth and realities
028
20 downloads
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 ...
social media, negative effects, academic pressure, academic procrastination
029
73 downloads
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. Th ...
remote work, hybrid work, work from home, workplace inequalities, critical work psychology
030
59 downloads
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 s ...
artificial intelligence, news media, journalism, technology
031
35 downloads
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 li ...
surface acting, deep acting, job satisfaction, organizational citizenship behaviour, nurses
032
10 downloads
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 ...
boycotting, political activism, Gen Z, digital citizenship, consumer behavior
033
15 downloads
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 too ...
gamification, job search self-efficacy, digital recruitment, positive attitude toward technology
034
9 downloads
