We are pleased to present the edited volume titled “Artificial Intelligence and Machine Learning in Management Science: Emerging Research and Applications.” This book is the outcome of a shared vision to explore and highlight the transformative impact of AI and ML technologies in the field of management science.
As the global business environment continues to evolve, artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools for enhancing decision-making, optimizing operations, and fostering innovation across various sectors. This book brings together a collection of scholarly contributions from researchers and practitioners who are at the forefront of integrating these technologies with managerial practices. The chapters offer both theoretical insights and practical applications, covering domains such as operations research, strategic planning, supply chain optimization, marketing analytics, financial forecasting, and human resource management.
The objective of this edited volume is to provide readers—academicians, industry professionals, students, and researchers—with a comprehensive understanding of how AI and ML can be harnessed to solve complex problems, improve efficiency, and drive intelligent decision-making in management contexts. Each chapter has been carefully selected and peer-reviewed to ensure relevance, quality, and originality.
We extend our heartfelt gratitude to all contributing authors for their valuable insights and rigorous research efforts. We also thank our reviewers and advisory board members for their thoughtful feedback and suggestions that enhanced the quality of this work. Finally, we appreciate the support from our respective institutions and publishing partners, without which this endeavor would not have been possible.
It is our sincere hope that this book will serve as a useful reference and source of inspiration for all those interested in the convergence of artificial intelligence, machine learning, and management science.
