The impact of Big Data Predictive Analytics on the performance of Asian firms: Does the supply chain effectiveness matter?

Abstract

The purpose of this research is to evaluate the influence that big data predictive analytics have on the performance of Asian companies and to determine whether or not the efficiency of the supply chain has any bearing on this relationship. The use of a quantitative research design allowed for the collection of data from a representative cross-section of Asian businesses. The findings suggest that big data predictive analytics have a beneficial impact on company performance, and the findings also suggest that the relationship between these two factors is increased by the efficiency of the supply chain. According to the findings, businesses in this region may be able to improve their performance by utilizing big data predictive analytics, particularly when combined with efficient supply chain management. In addition to this, the study sheds light on the significance of effective supply chain management in maximizing the beneficial effects of big data analytics on business performance. This study makes a contribution to our understanding of how the effectiveness of supply chain management and big data predictive analytics play a role in boosting the performance of Asian companies. The findings have repercussions for managers and policymakers in the region, and they underline the necessity to prioritize investments in big data predictive analytics and supply chain management in order to improve business performance.