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From Transparency to Circularity: Enhancing Supply Chain Sustainability Through Big Data
Abstract
Global supply chains are under increasing scrutiny to address environmental, social, and governance (ESG) challenges while maintaining competitiveness and resilience. Big data has emerged as a transformative tool that not only improves transparency but also enables the transition towards circular economy models. This chapter investigates how big data analytics can support the shift from linear practices to circular supply chains that prioritise resource efficiency, waste reduction, and product life-cycle optimisation. It examines the role of big data in enhancing supply chain visibility, enabling predictive decision-making, and fostering collaboration across stakeholders. Case examples will demonstrate how industries such as food, apparel, and manufacturing are using big data to achieve traceability, reduce carbon footprints, and enable closed-loop systems. The chapter will also critically discuss barriers, including governance, interoperability, and ethical concerns, while offering a practical framework for integrating big data into circular supply chain strategies.
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