Research on Performance Evaluation Index System and Empirical of Cross-Border E-Commerce Enterprises Based on BP Neural Network

Abstract

Improving company efficiency greatly benefits from conducting performance reviews of cross-border e-commerce businesses. This study uses cross-border e-commerce firms' performance evaluation as its research subject; First, by reconstructing five dimensions based on a thorough analysis of the distinctions between the Balanced Scorecard and the performance evaluation dimensions of cross-border e-commerce enterprises, and second, by using the most recent research findings on performance evaluation of cross-border e-commerce enterprises, a new and simple performance evaluation index system; Second, the efficacy and dependability of the index system created in this research are confirmed using the index validity evaluation technique; Thirdly, in order to provide a useful performance evaluation model of cross-border e-commerce firms, this research uses the BP neural network approach as the core model in conjunction with an analytical hierarchy procedure to decide the weight of each index; Finally, the data of 16 cross-border e-commerce businesses listed on the A-share are chosen for model training and simulation testing. The accuracy and empirical findings are in line with the demands of practice.