Optimization of logistics supply chain management model on consumer purchase anxiety disorder

Abstract

Background

Anxiety refers to the intense, excessive, and persistent anxiety and fear in daily life, which will peak in a few minutes. Especially in online shopping, patients with anxiety will aggravate their anxiety because of the slow delivery of the traditional logistics supply chain management model. To reduce consumers’ anxiety, the network distribution system of logistics supply chain management mode is optimized.

Subjects and Methods

This study divided 200 patients with anxiety disorder in a city into a control group and an experimental group. In the experimental group, 100 patients used the optimized logistics supply chain management mode for online shopping. In contrast, in the control group, 100 patients used the traditional logistics supply chain management mode for online shopping. The study also used the self-rating anxiety scale (SAS) for psychological measurement and compared the SAS scores of the two groups of consumers for two months.

Results

The data were analyzed by SPSS23.0. The SAS score of the experimental group was (1.63±0.23), and that of the control group was (1.81±0.59). The SAS scores of patients in the experimental group were better than those in the control group, and there were apparent differences between the two groups (P < 0.05).

Conclusions

Research on the choice of logistics supply chain management mode for online shopping optimizing its network distribution system can effectively shorten the online shopping distribution time and reduce consumers’ purchase anxiety.