MODERN MANAGEMENT SCIENCE PRACTICES IN THE AGE OF AI

บทคัดย่อ

"Modern Management Science Practices in the Age of AI" is a thorough reference book that offers a multidisciplinary perspective on the transformative influence of artificial intelligence (AI) across various sectors. Edited by Kittisak Jermsittiparsert, Nattharawee Phongkraphan, and Nuchnapha Lekhavichit, this volume consists of thirteen chapters, each authored by leading experts in their respective fields. The book is thematically structured to explore AI's applications and implications within modern management science practices, addressing both the opportunities and challenges it presents in diverse industrial and organizational contexts.

The book opens with a preface that provides an introduction and overview of its scope, underscoring its significance as a versatile textbook and an essential guide for researchers and practitioners navigating the AI landscape. The editors emphasize the book's interdisciplinary nature, which spans topics including accounting, behavioral economics, information systems, healthcare management, and sustainability.

Subsequently, the thirteen chapters are organized thematically to provide a comprehensive perspective. Each chapter delves into a specific area, offering real-world examples and in-depth analysis. The book culminates in a summary and future outlook section that presents insights and recommendations for future research.

Chapter 1, titled "AI and Smart Manufacturing: Building Industry 4.0," authored by Kamaljeet Motia, Raj Kumar, and Shalom Akhai from Chandigarh University and Maharishi Markandeshwar Engineering College in India, rigorously examines the transformative effects of Industry 4.0 on manufacturing processes and supply chain optimization. The authors elucidate the pivotal role of artificial intelligence (AI) in enhancing production efficacy, elevating product quality, and driving innovation through the integration of advanced technologies such as the Internet of Things (IoT), blockchain, and machine learning. The discourse is supported by empirical case studies of enterprises that have successfully adopted innovative manufacturing technologies, thereby affirming their assertions.