From Data to Decisions: The Impact of Big Data Analytics Capability on Supply Chain Resilience and Agility

Abstract

This paper analyses how Big Data Analytics Capability (BDAC) can enhance supply chain resilience and agility in more challenging and uncertain business contexts. The study aims at the application of the data-driven decision-making to the operational responsiveness and to improve the supply chain performance. The research approach will be qualitative research design with thematic analysis of scholarly articles based on peer-reviewed journals, academic books, and conference papers on the topic of big data analytics and the supply chain management. The results show that BDAC enhances the visibility of supply chain, predictive decisions, and responsiveness of an organization. The analytics features allow companies to predict disruptions, minimize the response time, and enhance the supply chain operation flexibility. Practical Implications: The study outlines the significance of digital transformation strategies, data infrastructure advancement, and analytics-based capabilities with regard to supply chain managers aiming to increase agility and resilience.  The research paper has value in the supply chain literature since it combines the lenses of dynamic capability and information processing theories. Future research can be done to examine industry-specific applications and empirical support on BDAC effects.