Analysis of the Mechanism of Cross-Border E-Commerce Multilateral Trade Integration from the Perspective of Big Data Collaboration Theory

Abstract

This paper provides an in-depth analysis of the mechanism of cross-border e-commerce multilateral trade integration based on the big data synergy theory, and uses the big data synergy theory method to form an overall causal feedback map of the credit synergy system by analysing the causal feedback relationship between the static cross-border e-commerce credit synergy system indicators. Through the form of an expert questionnaire, the relatively important system indicators are selected and the indicator weights are calculated. Analyse the existing problems and put forward optimization suggestions; innovative research methods, this paper uses supply chain management performance indicators to measure the level of supply chain management optimization, combined with factor analysis to find out the factors that affect the supply chain optimization of cross-border e-commerce importers. Analysing the implementation effect of cross-border e-commerce policy system, exploring effective policy "combinations" to promote the development of cross-border e-commerce, and realizing the quantitative analysis of the whole process of cross-border e-commerce policy from policy choice, policy implementation to the response to international trade shocks is an effective way to ensure that the policy system is formulated scientifically and rationally and to solve the problem of police inefficiency and maladaptation.

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