Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Manjot; Bansal, Reenu Title A name given to the resource Leveraging Big Data Analytics for Sustainable and Ethical Supply Chains Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Enhancing Sustainability in Global Supply Chains With Big Data Analytics;pp.79-111 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-6896-2.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-6896-2.ch003</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105033820582?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105033820582?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh M., Christ University, India; Bansal R., Christ University, India Description An account of the resource 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. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833736898-6; 979-833736896-2; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online