Research on Mathematical Model of Relationship between Big Data Analysis Capability and Supply Chain Based on Artificial Intelligence

Abstract

In recent years, with the continuous emergence of a series of emerging technologies on the Internet, technologies such as big data and artificial intelligence have had a greater impact on supply chain management. Among them, one of the important capabilities that supply chain companies should possess is the ability to analyze big data, which has a particularly significant impact on supply chain performance management. In enterprises of different sizes, how big data analysis capabilities play a role, what impact it has on supply chain performance, and how important its importance are are all questions worth exploring. Based on the theory of dynamic capabilities, this paper introduces supply chain strategy as an intermediate mechanism between big data capability analysis and supply chain performance, and studies the relationship between the three. Quantify sample data on the basis of questionnaire surveys and use SPSS analysis software to use hierarchical regression analysis on sample data to study the impact of big data analysis capabilities on supply chain performance. The results show that: 1. Big data analysis based on artificial intelligence has a positive and direct effect on supply chain performance. 2. Big data analysis ability not only has a direct positive effect on supply chain performance, but also has an indirect effect on supply chain performance through supply chain strategy.