Leveraging Big Data Analytics for Sustainable and Ethical Supply Chains
Abstract
This chapter explores the transformative role of Big Data Analytics in advancing sustainable and ethical supply chains. It examines how data-driven decision-making enables companies to enhance transparency, reduce environmental footprints, and uphold labour and human rights across multi-tier supply networks. The chapter addresses challenges in data integration, ethical AI use, and balancing cost with sustainability objectives, supported by real-world case studies from fashion, food, and electronics sectors. It highlights technological innovations such as digital twins, AI, and blockchain that empower circular economy practices and supply chain resilience. Offering critical insights and future directions, this chapter serves as a comprehensive guide for academia and practitioners committed to responsible supply chain management.
Fields of Study & Subjects
Supply Chain Resilience and Risk Management
Big Data and Business Intelligence
Digital Transformation in Industry
Publication details
- Journal / source
- Enhancing Sustainability in Global Supply Chains With Big Data Analytics
- Publisher
- IGI Global Scientific Publishing
- Pages
- 79–112
- Publication date
- 5 March 2026
- Language
- NG
- Document type
- Book chapter