Explainable AI and Blockchain for Secure and Agile Supply Chains

This book examines the transformative potential of integrating explainable artificial intelligence (XAI) and blockchain technology in modern supply chain management.

It explores how these innovative technologies address pressing challenges such as data transparency, traceability, fraud prevention, and operational efficiency in complex global supply chains. With detailed analyses, case studies, and real-world applications, these chapters provide insights into leveraging XAI to demystify AI decision-making and blockchain, ensuring data security and decentralized accountability. Key topics include sustainable practices, smart contract automation, and human-centric approaches to enhancing trust and collaboration among stakeholders.

This comprehensive volume serves as a valuable resource for academics, industry leaders, and policymakers seeking to harness cutting-edge technologies for building resilient and transparent supply chains.

Ajay Kumar Sharma has over 18 years of academic and research experience and currently serves as the Program Head of the M.Tech. in Computer Science and Engineering at Geetanjali Institute of Technical Studies, Dabok, Udaipur, Rajasthan.

Narasimha Rao Vajjhala currently serves as the Dean of the Faculty of Engineering and Architecture at the University of New York Tirana in Albania.

Rakshit Kothari is a research scholar at the College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan, India.

Rajasekhara Mouly Potluri is a Professor of Management/Marketing with thirty-three years of industry/teaching experience in around ten countries and is currently working as a Professor of Marketing at the Business School of Kazakh British Technical University of Almaty, Kazakhstan.