Journal Articles
RSS
Table of Contents for Volume 20, 2025, of the Interdisciplinary Journal of Information, Knowledge, and Management
IJIKM, contents, Interdisciplinary Journal of Information, Knowledge, and Management
.i - v
258 downloads
Aim/Purpose: Chinese customers are now employing B2C E-Learning as a novel method to get an education. The issues of product homogenization, low user registration eagerness, and poor retention have become noticeable. The purpose of this research is to identify key elements that influence consumers’ intention to continue using E-Learning in China and to examine how user experience moderates the rel ...
E-Learning, eLearning, continuance usage intention, course trial, perceived cost, information quality, service quality, satisfaction, technology continuance theory
001
291 downloads
Aim/Purpose: The primary goal of this research is to analyze the factors that influence the implementation of Mobile Cloud Computing (MCC) in Higher Education Institutions (HEIs).
Background: Despite MCC’s benefits in lowering technology and administration costs, HEIs, particularly in developing countries such as Palestine, are skeptical and hesitant to use this technology. This research provides ...
mobile cloud computing, cloud computing, higher education, diffusion of innovation, technology-organization-environment
002
228 downloads
Aim/Purpose: This research investigates factors influencing consumers’ decisions to use artificial intelligence cybersecurity technology in the United Arab Emirates.
Background: The cyber-security risks are getting more complex as technology develops, putting the United Arab Emirates (UAE) businesses and government agencies at risk of severe losses from cybercrime.
Methodology: A correlational s ...
artificial intelligence (AI), cybersecurity systems, PMT, intelligent systems, cyber threats, information security
003
223 downloads
Aim/Purpose: Most research on aspect-based sentiment analysis (ABSA) classifies sentiment polarity into two classes (positive and negative) or three classes (positive, negative, and neutral) and does not include conflict sentiment. This study investigates the four-class sentiment classification (positive, negative, neutral, and conflict) and proposes a BERT-based model for identifying conflicting ...
aspect-based sentiment analysis, four-class sentiment classification, conflict or conflicting sentiment, pre-trained language models, large language models
004
240 downloads
Aim/Purpose: The purpose of the study is to investigate the demographic profile, support levels, and sentiments of Information Technology students regarding a proposed dedicated comfort room for LGBTQIA+ members. By assessing student attitudes and support, the study aims to inform initiatives that promote inclusivity and address the needs of LGBTQIA+ individuals within the college community.
Back ...
Dedicated Comfort Room, Gender-Inclusive Spaces, LGBTQIA+, SDG 5, Sentiment Analysis
005
186 downloads
Aim/Purpose: This research aims to test the continued use of an AI platform through an extended Expectation Confirmation Model (ECM).
Background: The paper addresses the issues of user trust and satisfaction in the context of an AI platform in education by employing the ECM to analyze how system quality, information quality, and user satisfaction influence continued use intentions among responden ...
AI platform, satisfaction, trust, continued use intention, Expectation Confirmation Model (ECM)
006
251 downloads
Aim/Purpose: This study investigates how external stimuli and organizational culture influence the development of a management control system (MCS) to foster radical innovation and improve organizational performance. Specifically, it quantifies the effects of constraining and enabling levers on interaction and Knowledge sharing while examining how radical innovation mitigates technological turbule ...
external stimuli, organizational culture, enabling levers, constraining levers, knowledge sharing, radical innovation, technological turbulence, performance organization
007
218 downloads
Aim/Purpose: The study aims to develop a multilingual healthcare assistance chatbot that provides real-time, accurate answers to a query related to health matters in multiple languages. Conversion of written responses into spoken words lets users have the medical information necessary for them without interrupting communication between patients and health services. The purpose of this system is to ...
multilingual healthcare chatbot, text-to-speech technology, natural language processing, health literacy, language barriers, patient engagement, fine-tuning, pre-trained model, healthcare information
008
450 downloads
Aim/Purpose: Previous studies have primarily focused on comparing predictive models without considering the impact of data preprocessing on model performance. Therefore, this study sets two main objectives. The first objective is to investigate the effect of resampling methods for handling imbalanced data on model effectiveness. The second objective is to compare and evaluate machine learning meth ...
churn prediction, machine learning, imbalanced data, classification models, oversampling, undersampling, hybrid method, banking industry
009
230 downloads
Aim/Purpose: Traditional research methodology education faces challenges in developing student self-efficacy and integrating modern technology, necessitating innovative instructional approaches for graduate students.
Background: This study introduces the BEST model (begin with learner analysis, establish clear learning objectives, select engaging learning activities, and tailor instruction using ...
instructional design, TPACK integration, research methodology, graduate education, self-efficacy
010
108 downloads
Aim/Purpose: This study employs the Elaboration Likelihood Model (ELM) to investigate how six metainformational cues – number of updates, founder’s experience, media usage, number of investors, project text length, and psychological capital language – influence crowd-funding success.
Background: Metainformational cues are essential information for demonstrating a crowdfunding project and play a c ...
crowdfunding, metainformational cues, ELM
011
84 downloads
Aim/Purpose: This study aims to address the knowledge conflict issues encountered in multi-agent collaboration, particularly when agents based on large language models (LLMs) provide inconsistent answers or recommendations due to varied knowledge sources or errors caused by hallucinations.
Background: The paper tackles the limitations of intelligent agents that cannot dynamically detect or resolv ...
intelligent agent, large language model, knowledge conflict, ChatGPT
012
63 downloads
Aim/Purpose: This study analyzed the factors influencing electronic word-of-mouth (e-WOM) intention and purchase intention among Shopee users toward stores with Star Seller status, including the mediating roles of cognitive and affective appraisal. It integrated Customer Value Theory, Social Learning Theory, and Perceived Value Theory to examine how perceived benefits influence user behavior. The ...
perceived value, customer value theory, purchase intention, e-WOM intention, seller education, PLS-SEM, Shopee, Star Seller
013
144 downloads
Aim/Purpose: The study aimed to develop an automated, real-time monitoring system using YOLOv8 to detect the use of safety helmets in factories, thereby improving workplace safety and compliance.
Background: Industrial safety, particularly in factories, is critical for preventing workplace accidents. The detection of safety helmets is an essential component of factory safety protocols; however, m ...
safety helmet detection, object detection, area monitoring, computer vision
014
88 downloads
Aim/Purpose: The need for this paper stems from the challenge of efficiently analyzing large volumes of customer reviews in the hotel industry, which is growing and complex due to the widespread use of digital platforms. With consumers increasingly sharing feedback across various social media applications, manual processing becomes impractical, necessitating machine learning algorithms for accurat ...
sentiment analysis, bidirectional GRU, fast-text embeddings, location
015
158 downloads
Aim/Purpose: This paper focuses on app review analysis techniques, driven by the rapid advancement of the mobile app market and NLP techniques in optimizing mobile app user experiences.
Background: Owing to technological advancements, app review analysis has rapidly evolved. This study examines both conventional and emerging techniques, including current advancements such as large language models ...
app user reviews, text analysis, LLM, user experience, systematic review
016
99 downloads
Aim/Purpose: This study aims to develop and assess a speed monitoring system that enforces continuous compliance with speed regulations on highways by calculating average vehicle speed between two fixed cameras.
Background: Unlike traditional point-based enforcement methods, this approach ensures continuous speed monitoring over an extended distance, reducing the possibility of speed manipulation ...
speed monitoring, average speed enforcement (ASE), intelligent traffic systems, speed cameras, highway speed enforcement, vehicle speed detection, real-time traffic monitoring, traffic enforcement technology
017
48 downloads
Aim/Purpose: The purpose of this paper is to address the gap in the recognition of prior learning (RPL) by automating the classification of non-formal learning certificates using deep learning techniques. This study aims to evaluate the effectiveness of different text augmentation strategies—character-level, token-level, and semantic-level—in improving the classification accuracy of these certific ...
document classification, text augmentation, recognition of past learning (RPL), BERT, non-formal learning
018
69 downloads
Aim/Purpose: Automation of information extraction from digitized complex documents that contain both printed and handwritten text (as well as non-textual information) is one of the actual problems in the digital transformation of public administration. This study proposes an ML-based approach to improve the quality of automated extraction and processing of numerical data from digitized documents w ...
digital transformation, public administration, document processing automation, optical character recognition (OCR), handwritten text recognition, handwritten digit recognition (HDR), convolutional neural network (CNN)
019
51 downloads
Aim/Purpose: The paper introduces and develops the Core Ontology for Customs Procedures (COCP), a modular and scalable knowledge model designed to address the complexities of customs operations by formally representing operational, regulatory, security, transport, and financial transaction knowledge in alignment with global standards.
Background: Customs authorities face increasing challenges rel ...
customs procedures, core ontology, global trade, risk management, compliance
020
64 downloads
Aim/Purpose: This paper presents a structured evaluation framework for renewable energy technologies (RETs) in project management, addressing the critical need to mitigate environmental impacts and reduce dependence on fossil fuels. By integrating decision-making techniques, the study aims to provide a systematic approach for selecting optimal RETs.
Background: Subjective judgments and uncertaint ...
MASEN, renewable energy technologies, fuzzy analytic hierarchy process, grey relational analysis, sustainable decision-making
021
24 downloads
Aim/Purpose: This study develops an automated framework for evaluating computer science curriculum alignment with educational standards, addressing assessment challenges in rapidly evolving technical fields.
Background: Educational institutions struggle with time-consuming, subjective manual curriculum evaluation processes that are difficult to standardize, particularly when technological innovat ...
curriculum evaluation, computer science education, educational standards, semantic similarity, constructive alignment, ontology matching
022
29 downloads
Aim/Purpose: This paper aims to qualitatively analyze barriers to Business Intelligence (BI) system adoption in Indonesia’s hotel industry from the technological, organizational, and environmental perspectives. This study is expected to thoroughly understand the adoption of BI systems in the hotel industry. Additionally, this study offers details that can assist public administrators or system dev ...
hotel, business intelligence, barriers, adoption, TOE framework
023
40 downloads
Aim/Purpose: To design and validate a knowledge management model to improve business performance in knowledge-based enterprises (KBEs).
Background: In recent years, KBEs have become essential drivers of economic development, particularly in Iran. These enterprises face unique challenges, such as intense competition and limited access to advanced knowledge management practices. Addressing these ch ...
knowledge management, business performance, knowledge-based companies
024
25 downloads
Aim/Purpose: Despite the necessity of ensuring that reliable and recent information for economic development, particularly agriculture, is accessed and shared, the information found on websites related to agricultural topics requires assessment to ensure that only accurate information is shared with stakeholders within the maize industry in Tanzania. A rigorous tool for assessing the quality, accu ...
information quality, information evaluation, agricultural information, web information, digital information
025
25 downloads
Aim/Purpose: Federated learning (FL) enables collaborative model training without centralizing raw data, thereby preserving privacy compared to traditional centralized machine learning approaches. To develop a privacy-preserving and explainable framework – where explainability is achieved through local SHAP analyses at each client and an aggregated global SHAP view – for health risk prediction in ...
federated learning, TreeNetX, SHAP, health risk prediction, explainable AI, data privacy, ensemble meta-learner, gradient boosting, model interpretability
026
21 downloads
Aim/Purpose: The current study aimed to explore the perceptions of school stakeholders on their responsibilities towards cybersafety and to propose a cybersafety community of purpose to mitigate cybersafety challenges in marginalised schools.
Background: The COVID-19 pandemic accelerated the adoption of information and communication technologies in education. In the post-pandemic era, schools are ...
cybersecurity, cybersafety in education, community of purpose, marginalised schools
027
11 downloads
Aim/Purpose: This systematic literature review seeks to synthesize and examine the key factors shaping learners’ willingness to persist in e-learning courses.
Background: The proliferation of online learning, particularly Massive Open Online Courses (MOOCs) and various Learning Management Systems (LMS), has made it a central element of higher education and vocational training. However, despite ad ...
e-learning, consumers’ continuance usage intention, systematic literature review, satisfaction
028
21 downloads
Aim/Purpose: This study investigates the psychological mechanisms linking remote/flexible work to intention to quit among middle and senior managers in India’s IT/ITES sector. Guided by the Transactional Model of Stress and Coping, it positions work stress as a mediator, and tests perceived organizational support (POS) as a moderating buffer.
Background: Remote/flexible work, while offering flexi ...
remote/flexible work, perceived organizational support, work stress, intention to quit, IT/ITES sector, machine learning, speech processing, natural language processing, sentiment analysis
029
23 downloads
Aim/Purpose: This study investigates the key factors influencing cryptocurrency adoption among international students in Northern Cyprus. It addresses the gap in understanding how technological and motivational factors affect adoption decisions in this demographic.
Background: By applying the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), the study examines how facilitating condit ...
cryptocurrency adoption, UTAUT2 model, international students, Northern Cyprus, government support
030
17 downloads
Aim/Purpose: This study aims to develop and evaluate an automated scoring model for Indonesian student answers that enhances objectivity, accuracy, and adaptability – addressing persistent challenges in manual assessment, such as subjectivity, inconsistency, time inefficiency, and the increasing grading workload faced by teachers.
Background: The proposed model combines GloVe word embeddings with ...
automated scoring, GloVe, LSTM, ROUGE score, TF-IDF, cosine similarity, natural language processing, deep learning, automated essay scoring, Indonesian language, education quality, innovation
031
19 downloads
