A Literature Review Based Bibliometric Analysis of Supply Chain Analytics

Abstract

The management of the supply chain is an integral part of any organization and plays a critical role in efficient operational productivity and effectiveness. Supply chain performance excellence provides a competitive edge in the fast-changing marketplace. On the other hand, a wrong decision in SC activity can lead to the complications of improper supply–demand conditions, production in-efficiency, supplier selection difficulties, and many others. The role of Supply Chain Analytics is a systematic analysis of the assortment of data and statistics generated during the supply chain activities to come up with accurate information that can optimize the business processes. This paper defines the challenges associated with supply chain activities and the role of analytics in supply chain decision modeling and knowledge processing in business intelligence architecture. The role of supply chain analytics is also estimated over a supply chain SCOR model. The paper provides a systematic review of supply chain analytics implementation in the recent literature of the last 10 years (2010–2020). The paper concludes by defining the qualitative insights from the literature of supply chain analytics along with giving future directions. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.