This book presents selected papers from the 2025 3rd International Conference on Management Information System which was held on Yokohama, Japan during September 27-29. The chapters collectively offer a rich and diverse exploration of contemporary issues in management information systems, reflecting cutting-edge research and practical applications. These chapters address critical topics such as technological innovation, sales management, government incentives for sustainable transportation, and the paradoxes of technology adoption. By reframing technological pathways and examining effective sales strategies, the book provides fresh perspectives and practical solutions for both academia and industry.
The integration of advanced methodologies, such as data mining for predicting fire incidents and machine learning models for financial predictions, showcases the innovative use of technology in risk management and decision-making processes. Additionally, the exploration of AI's impact on individual investors and the enhancement of management information systems with large language models highlight the transformative potential of artificial intelligence in various sectors.
Overall, the book's comprehensive approach and interdisciplinary focus make it a valuable contribution to the fields of management information systems, finance, and technology, offering theoretical and practical insights that can drive innovation and efficiency across multiple domains.
Chapter
1. Data-Driven Decision Support for Supplier Selection in the
Cleanroom Garment Industry: A Hybrid AHP-TOPSIS Approach.
Chapter
2.
AI-Driven Identification of Supply Delays using Advanced Analytical
Approaches.
Chapter
3. Data-Driven Risk Management Approach in Design
Management Projects.
Chapter
4. Factors Influencing the Perceived Quality of
Railway Services in Thailand using the Application of Statistical Analysis
Principles.
Chapter
5. Experimental Analysis of the Impact of the
Technological Integration of Notion and Dola on Operational Performance and
Efficiency in Comprehensive Project Management.
Chapter
6. Strategic IT
Outsourcing: A Capability-Driven Perspective.
Chapter
7. From Readiness to
Strategy: A Three-Dimensional Prescriptive CRM Maturity Ladder for SMEs.-
Chapter
8. University Student Engagement in Online Distance Learning in
Malaysia: A DemandsResources Perspective.
Chapter
9. Cybersecurity Risk
Practices Using Business Analytics: A Traditional Literature Review.
Chapter
10. Generative AI Adoption: A User-Centric Examination of Trust, Quality, and
Intention to Reuse.
Chapter
11. Mastering Market Peaks and Valleys: Advanced
Trading with Deep Reinforcement Learning.
Eric Tsui is a Senior Project Fellow at the Educational Research Centre of The Hong Kong Polytechnic University. He joined Computer Sciences Corporation (CSC) in 1989 after years of academic research in automated knowledge acquisition, natural language processing, case-based reasoning and knowledge engineering and tools. His research was supported by grants and scholarships from Arthur Young, Rank Xerox, CSC, Graphic Directions and the Australian Research Council. He was also a gratis visitor to Microsoft Research in February, 2000. Between August 2000 and January 2005, he assumed the roles of Chief Research Officer, Asia Pacific for CSC as well as Innovation Manager at Australian Mutual Provident (Australia) and Maybank (Malaysia). During his tenure at CSC, he made significant contributions to CSC's expert systems products, applied research and innovation programmes. A recipient of several international awards in Knowledge Management and E-Learning, Professor Tsui has B.Sc (Hons.), PhD and MBA qualifications.
