Data, Decisions, and Disruption
A New Era in Management Science
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Beschreibung
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.
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.
Integrates diverse topics such as technological innovation, sales management, and financial modelling Showcases innovative solutions and advanced analytical techniques that are at the forefront of current research Provides a global outlook on management information systems, making it valuable for an international audience
Autor*in
Eric Tsui
Themen in »Data, Decisions, and Disruption«
Information system Operations management Risk management Business systems analysis and design Knowledge management systems Business analytics Business cycle Business forecasting Business project management