Data, Decisions, and Disruption : A New Era in Management Science (Contributions to Management Science)

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Data, Decisions, and Disruption : A New Era in Management Science (Contributions to Management Science)

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  • 製本 Hardcover:ハードカバー版/ページ数 139 p.
  • 言語 ENG
  • 商品コード 9789819570591

Full Description

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.

Contents

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 Demands-Resources 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.

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