Leveraging Big Data Analytics for Sustainable and Ethical Supply Chains

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Author(s): Manjot Singh (Christ University, India)and Reenu Bansal (Christ University, India)
Copyright: 2026
Pages: 34
Source title: Enhancing Sustainability in Global Supply Chains With Big Data Analytics
Source Author(s)/Editor(s): Mohammad Kamrul Hasan (Tongling University, China), Tahsina Khan (Bangladesh University of Professionals, Bangladesh), Arbia Hlali (Taibah University, Saudi Arabia)and Md Mehedi Hasan Emon (American International University-Bangladesh, Bangladesh)
DOI: 10.4018/979-8-3373-6896-2.ch003

Keywords: Business Science Reference / Environment & Agriculture / Supply Chain Management / Sustainable Development

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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.

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Leveraging Big Data Analytics for Sustainable and Ethical Supply Chains

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