Blockchain Driven Supply Chain Management: A Multi-dimensional Perspective

The book aims to present a multi-dimensional view on the blockchain-driven supply chain management and its linkage with open innovation, dgtl technologies, supply chain sustainability, mapping, visibility, and resilience. It offers topic from three important themes: first, what is the architecture and design of BCSCM and how does it differ from the conventional supply chains; second, performance impacts of BCSCM; and third, implementation challenges and role of leadership. Hence, the book provides a diverse perspective on the understanding, architecture, impacts, and implementation of blockchain-driven supply chain management. It shows the importance of blockchain-driven supply chain management for contemporary organizations: how it contributes to supply chain traceability, resilience, and sustainability.The book also demonstrates as to how adoption of blockchain-driven supply chain management requires to consider intangible forms of intellectual capital (human, processes,and relationships), which is different from more traditional forms. This is a book for supply chain management practitioners, researchers, and academician who want to understand the role of blockchain in supply chain, for supply chain managers who want to be at the cutting edge by adopting the BCSCM, for those early in their careers who seek a challenging new path, and for the top-level managers of the world who have their eye on the future.

About the Author

Dr. Mubarik is a professor and Dean of the College of Business Management, Institute of Business Management, Karachi, Pakistan. His research interests include the supply chain management, sustainability, and firm’s intellectual capital,. He has published a number of high-quality research papers in journals of high repute. Dr. Mubarik is also consultant and trainer at various large international firms from fertilizer, textile, and steel sectors. He also regularly conducts workshops at the University of Malaya, Malaysia, on the topics of multi-attribute data management (AHP and ANP techniques) and supply chain management.