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Table of Contents for Volume 19, 2024, of the Interdisciplinary Journal of Information, Knowledge, and Management
IJIKM, contents, Interdisciplinary Journal of Information, Knowledge, and Management
.i - v
182 downloads
Aim/Purpose: This study investigates the drivers of user satisfaction in e-government services and its influence on continued use intention and citizen trust in government. It employs the integration of the Technology Acceptance Model (TAM) and the Information System Success Model (ISSM).
Background: Electronic government, transforming citizen-state interactions, has gained momentum worldwide, in ...
e-government, user satisfaction, continuance intention, citizen trust, India
001
908 downloads
Aim/Purpose: This study examined the use of Social Media Applications (SMAs) for accessing health-related information within a heterogeneous population in Jordan. The objective of this study was therefore threefold: (i) to investigate the usage of SMAs, including WhatsApp, Twitter, YouTube, Snapchat, Instagram, and Facebook, for accessing health-related information; (ii) to examine potential varia ...
social media, health information, seeking, Internet, Jordan
002
260 downloads
Aim/Purpose: This study examines the adoption and continued use of m-learning in Iraqi universities amidst an unstable environment by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Expectation-Confirmation Model (ECM) models. The primary goal is to address the specific challenges and opportunities in Iraq’s higher education institutions (HEIs) due to geopolitical i ...
mobile learning (m-learning), higher education institutions (HEIs), unified theory of acceptance and use of technology 2 (UTAUT2), expectation confirmation model (ECM)
003
267 downloads
Aim/Purpose: The research aims to investigate the factors that influence the continuous use of mobile banking applications to complete banking monetary transactions.
Background: Despite a significant increase in the use of mobile banking applications, particularly during the COVID-19 pandemic, new evidence indicates that the use rate of mobile banking applications for operating banking monetary t ...
mobile banking applications, continuous use, process virtualization theory, post-adoption
004
233 downloads
Aim/Purpose: This research aims to evaluate models from meta-learning techniques, such as Riemannian Model Agnostic Meta-Learning (RMAML), Model-Agnostic Meta-Learning (MAML), and Reptile meta-learning, to obtain high-quality metadata. The goal is to utilize this metadata to increase accuracy and efficiency in identifying chili varieties in smart agriculture.
Background: The identification of chi ...
chili variety identification, meta-learning, 2-3 way classification, 5-10 shot classification
005
208 downloads
Aim/Purpose: The objective of this study is to summarize the challenges of Agile Requirements Engineering (Agile RE) in the public sector in republican and constitutional monarchy nations. Additionally, it offers recommendations to address these challenges.
Background: Failure of IT projects in the public sector results in financial losses for the state and loss of public trust, often attributed ...
Agile requirements engineering, public sector, Agile challenges, systematic literature review
006
248 downloads
Aim/Purpose: This study aims to analyze the factors that influence user addiction to AR face filters in social network applications and their impact on the online social anxiety of users in Indonesia.
Background: To date, social media users have started to use augmented reality (AR) face filters. However, AR face filters have the potential to create positive and negative effects for social media ...
augmented reality, face filter, Instagram, social media, Indonesia
007
199 downloads
Aim/Purpose: This study aims to identify the characteristics of YouTube video reviews that consumers utilize to evaluate review helpfulness and explores how they process such information. This study aims to investigate the effect of argument quality, review popularity, number of likes, and source credibility on consumers’ perception of YouTube’s video review helpfulness.
Background: Video reviews ...
review helpfulness, online reviews, video reviews, YouTube, elaboration likelihood model
008
191 downloads
Aim/Purpose: This paper aims to investigate and understand the intentions of management undergraduate students in Hangzhou, China, regarding the adoption of Artificial Intelligence (AI) technologies in their education. It addresses the need to explore the factors influencing AI adoption in the educational context and contribute to the ongoing discourse on technology integration in higher education ...
AI integration in education, Chinese university education, student perspectives, diffusion theory, PLS-SEM analysis
009
272 downloads
Aim/Purpose: This study aims to evaluate the success of deep learning in building user profiles for personalized information access.
Background: To better express document content and information during the matching phase of the information retrieval (IR) process, deep learning architectures could potentially offer a feasible and optimal alternative to user profile building for personalized infor ...
personalized IR, user profile, deep learning, recurrent neural networks, artificial neural networks, convolutional neural networks
010
166 downloads
Aim/Purpose: This research investigated the determinant factors influencing the adoption intentions of Chatsicum, a Knowledge-Based Chatbot (KBC) aimed at enhancing the species literacy of biodiversity students.
Background: This research was conducted to bridge the gap between technology, education, and biodiversity conservation. Innovative solutions are needed to empower individuals with knowled ...
task-technology fit, diffusion of innovation, knowledge-based system, chatbot, trust, biodiversity, species literacy
011
191 downloads
Aim/Purpose: This paper investigates the user acceptability of blockchain technology in the healthcare sector, with a specific focus on healthcare professionals in Jordan.
Background: The study seeks to identify the factors that affect healthcare professionals’ use and acceptance of blockchain technology in Jordan.
Methodology: The study’s research framework integrates factors from the Technolo ...
blockchain technology, healthcare, acceptance, TAM, UTAUT
012
205 downloads
Aim/Purpose: This study focuses on two targeting strategies of out-store Location-Based Mobile Advertising (LBMA): the geo-fencing strategy (i.e., targeting customers who are near the focal store) and the geo-conquesting strategy (i.e., targeting those who are near competitors’ stores to visit the focal store). To the authors’ knowledge, no previous studies have compared the perceived intrusivenes ...
mobile marketing, location-based mobile marketing, location-based mobile advertising, geo-fencing, geo-conquesting, perceived intrusiveness, attitudes, purchase intention
013
192 downloads
Aim/Purpose: This paper intends to answer the question regarding the extent to which political postings with value differences/similarities will influence the level of implicit knowledge sharing (KS) among work colleagues in organizations. More specifically, the study assesses contributors’ responses to a workmate’s publicity about politics on social media platforms (SMP) and their eagerness to im ...
political communication, private organization, social media, tacit knowledge sharing, PLSSEM
014
128 downloads
Aim/Purpose: This study aims to investigate the influence of e-government public services on public trust at the local government level, addressing the pressing need to understand the factors shaping citizen perceptions and trust in government institutions.
Background: With the proliferation of e-government initiatives worldwide, governments are increasingly turning to digital solutions to enhanc ...
e-government, public trust, service quality, information quality, citizen perceptions, local government, Indonesia
015
200 downloads
Aim/Purpose: This research aims to develop a smart agricultural knowledge management framework to empower emergent farmers and extension officers (advisors to farmers) in developing countries as part of a smart farming lab (SFL). The framework utilizes knowledge objects (KOs) to capture information and knowledge of different forms, including indigenous knowledge. It builds upon a foundation of est ...
smart farming lab, emergent farmers, extension officers, agricultural knowledge management, AKM process model, knowledge objects, social media integration
016
126 downloads
Aim/Purpose: This study aims to develop a solution for personalized tourism recommendations that addresses information overload, data sparsity, and the cold-start problem. It focuses on enabling tourists to choose the most suitable tourism-related facilities, such as restaurants and hotels, that match their individual needs and preferences.
Background: The tourism industry is experiencing a signi ...
tourism recommendation, multi-criteria analysis, implicit trust network, data sparsity, cold start, new user
017
175 downloads
Aim/Purpose: This study explored teachers’ data-driven decision-making processes during routine and emergency remote teaching, as experienced during the COVID-19 pandemic.
Background: Decision-making is essential in teaching, with informed decisions promoting student learning and teachers’ professional development most effectively. However, obstacles to the use of data have been identified in man ...
data-driven decision-making, emergency remote teaching (ERT), qualitative research, COVID-19
018
112 downloads
Aim/Purpose: Accurate detection of vacant parking spaces is crucial for autonomous parking. Deep learning, particularly Graph Neural Networks (GNNs), holds promise for addressing the challenges of diverse parking lot appearances and complex visual environments. Our GNN-based approach leverages the spatial layout of detected marking points in around-view images to learn robust feature representatio ...
parking slot detection, bird’s-eye images, graph neural networks, attention mechanism, autonomous vehicles, deep learning, real-time processing
019
129 downloads
Aim/Purpose: This study investigates the relationship between Electronic Word-of-Mouth (EWOM), Information Adoption, and the stock investment of Vietnamese investors.
Background: Misinformation spreads online, and a lack of strong information analysis skills can lead Vietnamese investors to make poor stock choices. By understanding how online conversations and information processing influence inv ...
Electronic Word-of-Mouth (EWOM), information adoption, investment decisions, social media groups, stock investors
020
199 downloads
Aim/Purpose: This conceptual review analyzes the designs of global health virtual communities of practice (VCoPs) programming reported in the empirical literature and proposes a new typology of their functioning. The purpose of this review is to provide clarity on VCoP learning stages of (co)evolution and insight into VCoP (re)development efforts to best meet member, organization, and network need ...
global health, virtual community of practice, continuous learning, complexity
021
112 downloads
Aim/Purpose: While existing literature has extensively explored factors influencing the success of big data projects and proposed big data maturity models, no study has harnessed machine learning to predict project success and identify the critical features contributing significantly to that success. The purpose of this paper is to offer fresh insights into the realm of big data projects by levera ...
big data projects, success prediction, key factors, maturity model, machine learning
022
108 downloads
Aim/Purpose: The rise of modern artificial intelligence (AI), in particular, machine learning (ML), has provided new opportunities and directions for knowledge management (KM). A central question for the future of KM is whether it will be dominated by an automation strategy that replaces knowledge work or whether it will support a knowledge-enablement strategy that enhances knowledge work and upli ...
knowledge management, knowledge work, artificial intelligence, automation, knowledge enablement, tacit knowledge, abductive reasoning
023
152 downloads
Aim/Purpose: In this study, we developed a recommendation system model designed to support decision-makers in identifying consumers eligible for pay-later options via consensus-based decision-making. This approach was chosen due to the high and complex risks involved, such as delayed payments, challenges in reaching consumers, and issues of bad credit.
Background: The “pay-later” option, which al ...
pay-later, system recommendation, multi-stage analysis, ROAD, CNN, RNN, LSTM
024
124 downloads
Aim/Purpose: This study aims to develop a theoretical model based on the SOR (Stimulus – Organism – Response) framework and GETAMEL, which cover environmental, personal, and learning quality aspects to identify factors influencing students’ acceptance of the use of LMS in high schools, especially after COVID-19 pandemic.
Background: After the COVID-19 pandemic, many high schools reopened for in-p ...
SEM, Learning Management System (LMS), high school, GETAMEL, SOR
025
123 downloads
Aim/Purpose: This research aims to design a website-based group decision support system (DSS) user interface to support an integrated and sustainable waste management plan in Jagatera. The main focus of this research is to design a group DSS to help Jagatera prioritize several waste alternatives to be managed so that Jagatera can make the right decisions to serve the community.
Background: The In ...
group decision support system, analytical hierarchy process, soft system methodology, waste recycling company, user interface design DSS
026
125 downloads
Aim/Purpose: This study investigates the intention to invest in online peer-to-peer (P2P) lending platforms among the bottom 40% (B40) Malaysian households by income.
Background: The B40 group citizens earn less than USD 1,096.00 (i.e., RM 4,850.00) in monthly household income, thereby possessing relatively small capital investments suitable for online P2P lending.
Methodology: Drawing on the t ...
behavioural intention, B40 group, Malaysia, online P2P, Fintech, investment, financial inclusion
027
119 downloads
Aim/Purpose: The last decade has witnessed a tremendous progression in mobile penetration across the world and, most importantly, in developing countries like India. This research aims to investigate and analyze the factors influencing the adoption of mobile payments (M-payments) in the Indian rural population. This, in turn, would bring about positive changes in the lives of people in these count ...
UTAUT, rural India, facilitating conditions, social influences, performance expectancy, effort expectancy, M-payments awareness, behavioral intentions, usage behavior
028
250 downloads
Aim/Purpose: This study investigated factors influencing the intention to engage in green innovation among small and medium enterprises (SMEs) in the tourism sector, using an integrated approach from the pro-environmental planned behavior (PEPB) and technology organization environment (TOE) models.
Background: Green innovation is a long-term strategy aimed at addressing environmental challenges i ...
behavioral intention, green innovation, PEPB, TOE, SMEs, tourism
029
91 downloads
Aim/Purpose: This research utilized a learn-to-rank algorithm to provide medical recommendations to prescribers. The algorithm has been utilized in other domains, such as information retrieval and recommender systems.
Background: Ranking the possible medical treatments according to diagnoses of the medical cases is very beneficial for doctors, especially during the coding process.
Methodology: ...
learn to rank, medicine ranking, decision making
030
64 downloads
Aim/Purpose: This study presents a novel deep learning-based framework designed to enhance spontaneous micro-expression recognition by effectively increasing the amount and variety of data and balancing the class distribution to improve recognition accuracy.
Background: Micro-expression recognition using deep learning requires large amounts of data. Micro-expression datasets are relatively small, ...
micro-expression, spatio-temporal, data augmentation, class balancing, 3DCNN, vision, deep learning
031
72 downloads
Aim/Purpose: This study aims to explore the use of mobile health applications (mHealth apps) by lay users in Kuwait. Specifically, it seeks to: (i) identify and highlight the impact of factors that contribute to their use of mHealth apps and (ii) validate a model of these users’ usage of mHealth apps.
Background: The advancement of information technologies has paved the way for efficiency and eff ...
lay users, health information, mHealth, Kuwait, mobile health applications
032
95 downloads
Aim/Purpose: This study investigates the factors that affect the repurchase intentions of Generation Z consumers in India’s online shopping industry, focusing on combining the Expectation-Confirmation Model (ECM) and Extended Technology Acceptance Model (E-TAM). The aim is to understand the intricate behaviors that shape technology adoption and sustained usage, which are essential for retaining cu ...
repurchase intention, e-satisfaction, ease of use, security, privacy concerns, internet self-efficacy, Generation Z, e-commerce
033
113 downloads
Aim/Purpose: This paper describes how to use a multilayer perceptron to improve concept drift recovery in streaming environments.
Background: Classifying instances in a data stream environment with concept drift is a challenging topic. The base learner must be adapted online to the current data. Several data mining algorithms have been adapted/used to this type of environment. In this study, two ...
data streams, concept drift, multilayer perceptron, online learning
034
49 downloads
Aim/Purpose: The problem addressed by this research is the struggle of Botswana’s livestock sector to implement effective animal traceability systems due to limited interoperability, inadequate data integration, reliance on open grazing systems, and systemic challenges like high mortality, theft, and disease outbreaks. These challenges collectively undermine animal traceability system competitiven ...
ontology-based knowledge management, data interoperability, livestock traceability systems, trade compliance, systems integration, data quality enhancement
035
61 downloads
Enhanced Detection of Hate Speech in Dravidian Languages in Social Media Using Ensemble Transformers
Aim/Purpose: This study aims to propose an efficient implementation of identifying and detecting offensive and hate comments on social media platforms for Dravidian languages.
Background: There has been a notable increase in hate comments on social media platforms in recent years. Hate language and hate speech are expressions of conflicts that arise between different groups, both within and acros ...
BERT, NLP, F1-Score, Dravidian languages, Code-mix, Hate comment, Muril, mBERT
036
61 downloads
