Exploring a nexus among the big data Predictive analytics, Supply Chain Performance, and Organizational Performance: A case of an Asian country

Abstract

The goal of this study is to look into the relationship between big data predictive analytics, supply chain performance, and organizational performance in an Asian country. The study employs a variety of approaches, including quantitative data analysis and qualitative interviews with experts in the subject. According to the findings, applying predictive analytics to big data has a positive impact on the performance of supply chains, which in turn has a positive impact on the performance of companies. According to the poll, the application of big data analytics in supply chain management is not yet widespread in the region. Instead, many organizations continue to rely on more traditional techniques of managing their supply chains. According to the findings, businesses in the region may benefit from applying big data predictive analytics to improve the performance of their supply chains and organizations. In overall, the findings of this study contribute to a better understanding of the interaction between big data, supply chain performance, and organizational performance in the context of an Asian nation.