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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 - iv
145 downloads
Kai Jin, Md Kassim Normalini
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
175 downloads
Abeer M. Azem Qashou, Nurhidayah Bahar, Hazura Mohamed
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
132 downloads
Mohammed Rashed Mohamed Al Humaid Alneyadi, Md Kassim Normalini
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
131 downloads
Nuryani Nuryani, Rinaldi Munir, Ayu Purwarianti, Dessi Puji Lestari
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
154 downloads
Cris Norman Patacsil Olipas, Rose Anne G Cochanco
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
117 downloads
Ahmad Nuh, Mohamad Rizan, Andi Muhammad Sadat
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
150 downloads
Arfah Piliang, Meutia Meutia, Elvin Bastian, Munawar Muchlish
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
141 downloads
Vignesh U, Aman Amirneni
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
277 downloads
Tam-Thanh Luong, Vi-Gia Luong, Anh Hoang Tuan Tran, Tuan Manh Nguyen
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
120 downloads
Narongsak Sukma, Wachiranun Pum
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
49 downloads
Xinyu Qiu, Xuefeng Zhang
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
44 downloads
Huanyu Cheng, Yincheng Gu, Mengting Xi, Qiuyuan Zhong, Liu Wei
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
20 downloads
Shabrina Salsabila Kurniawan, Imairi Eitiveni, Betty Purwandari, Erisva Hakiki Purwaningsih
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
28 downloads
Ratna Santi, Wiwin Suwarningsih, Ashwin Sasongko Sastrosubroto
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
33 downloads
Akshatha Shetty, Dr. Manjaiah D H, Praveena Kumari M. K.
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
105 downloads
Nimasha Arambepola, Waruni Lalendra Wimalasena, Lankeshwara Munasinghe
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
25 downloads

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