Intelligent Development of Enterprise Logistics and Its Application Analysis in Supply Chain

Abstract

In the era of knowledge economy, global competition is becoming increasingly fierce, and competition between individual enterprises has gradually transformed into competition between supply chains. This article mainly studies the intelligent development of enterprise logistics and its application analysis in the supply chain. In this paper, the entropy weight method is used to determine the weight of each index in the index layer of the logistics service provider selection evaluation system. When integrators evaluate logistics suppliers, they must adjust their evaluation index system in real time according to different environments and needs, and modify, add or delete relevant evaluation indexes based on actual conditions. This article uses a two-factor analysis of variance to test the relationship between the two types of social cues and the participants’ social presence. The relationship between the two types of social cues and behavioral willingness was further tested through analysis of variance. After verifying the relationship between social clues and social presence, the structural equation model is further used to test the relationship between social presence and subsequent variables. According to the weight data table, it can be determined that the transaction risk has the greatest impact on the risk level in the supply chain risk, and the corresponding weight value is 0.42. Supply chain technology has greatly promoted the development of enterprise logistics intelligence.