A Review of Leveraging Big Data Analytics for Sustainable Supply Chain Management

Abstract

As organizations aim to drive sustainability in their supply chain management practices, big data analytics has emerged as one of the effective approaches. However,data security and privacy challenges remain since big data analytics continue evolving in the supply chain. These challenges need to be addressed by organizations to ensure business performance. This paper conducts systematic literature reviews of the potential of big data analytics in driving sustainability in supply chain management. The findings show that big data analytics enables organizations to make data-driven decisions, optimize business processes, and enhance sustainability through techniques like machine learning, predictive, and prescriptive analysis. Future research directions are suggested, focusing on addressing the challenges with appropriate strategies and exploring the impact of other Industry 4.0 technologies on sustainable supply chain management.