AI and Human Expertise for Strategic Decision-Making: The Knowledge 5.0 Approach

This book offers an in-depth exploration of how organizations can effectively combine Artificial Intelligence (AI) and human expertise to revolutionize decision-making processes.

As part of the transition from data-centric to decision-centric models, the book presents the Knowledge 5.0 paradigm―a framework which integrates advanced analytics, AI, and human judgement to create superior decision-making systems. This research monograph provides both theoretical foundations and practical applications for understanding the future of knowledge management in the Digital Age. This book features comprehensive models for integrating AI driven insights with human expertise, providing a multidisciplinary approach which includes decision sciences, cognitive science, information systems, and organizational theory. Readers will gain insights into hybrid intelligence systems, the ethical governance of AI in decision-making, and real-world applications across various sectors like business and healthcare. It also addresses the challenges and opportunities of Knowledge 5.0, positioning it as a critical tool for organizational innovation and performance.

Tailored for academics, researchers, and advanced practitioners in knowledge management, AI, and organizational decision-making, this book will also be valuable for postgraduate students and professionals in business analytics, corporate R&D, and think tanks focused on emerging technologies and their impact on decision-making frameworks.

Amarnath Padhi is Associate Professor in the School of Management Studies at NIST University, Berhampur, Odisha, India.

Sabyasachi Rath is Professor and Dean of the School of Management Studies at NIST University, Berhampur, Odisha, India.

Elena Gurgu is Associate Professor in the Department of Economic Sciences at Spiru Haret University, Bucharest, Romania.

Dac-Nhuong Le is Associate Professor in the Department of Information Technology at Haiphong University, Haiphong, Vietnam.