http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Enhancing sustainability in global supply chains with big data analytics
Foreword -- Preface -- Acknowledgment -- Chapter 1. Big Data-Enabled Transformation of Global Supply Chains: Integrating IoT, AI, XAI, and Governance for Sustainable and Resilient Operations -- Chapter 2. A Big Data-Driven MCDM Model for Sustainable Supplier Selection -- Chapter 3. Leveraging Big Data Analytics for Sustainable and Ethical Supply Chains -- Chapter 4. AI-Driven Big Data and Blockchain Convergence for Carbon Footprint Accountability in Global Supply Chains -- Chapter 5. Blockchain and Big Data Integration for Transparent and Traceable Supply Chains: A Literature Scoping Approach -- Chapter 6. Harnessing Big Data for Reverse Logistics and Waste Management: Pathways to Sustainable Supply Chains -- Chapter 7. Big Data-Driven Circularity: Enhancing Sustainability Through Closed-Loop Supply Chain Models -- Chapter 8. From Transparency to Circularity: Enhancing Supply Chain Sustainability Through Big Data -- Chapter 9. Quantum-Inspired Big Data Analytics for Sustainable and Resilient Global Supply Chains -- Chapter 10. Policy, Governance, and Global Collaboration for Data-Driven Sustainable Supply Chains: A Study on the Least Developed Countries -- Compilation of References -- About the Contributors -- Index.
[edited by] Mohammad Kamrul Hasan, Tahsina Khan, Arbia Hlali, Md Mehedi Hasan Emon.
Hershey : IGI Global Scientific Publishing, 2026