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Academic Journal of Business & Management, 2023, 5(19); doi: 10.25236/AJBM.2023.051902.

Application of Entropy Weight TOPSIS Method in Comprehensive Performance Evaluation of Logistics Industry: Take YTO Express as an Example


Li Liu, Fan He

Corresponding Author:
Li Liu

Department of Management, Sichuan University of Science & Engineering, Zigong, China


In recent years, the market pattern of express delivery industry has changed a lot, the competition among leading enterprises has intensified, and the performance of YTO Express has decreased year by year. How to improve its performance level is an urgent problem to be solved. Taking YTO Express as the research object, this paper constructs an enterprise performance evaluation system based on the combination of EVA and BSC with the help of relevant theories of both, and then ranks the comprehensive performance of listed companies of SF Holdings, Sto Express, YTO Express and Yunda Stock Express from 2018 to 2022 by using the method of entropy weight TOPSIS. Finally, the analysis of the evaluation results shows that YTO Express's comprehensive performance is backward and there are some problems, such as unreasonable planning of capital structure, low investment ratio of research and development expenses, weak revenue growth rate and customer satisfaction to be improved, etc. Further more, it puts forward relevant suggestions that YTO Express should grasp the growth opportunities, improve service quality, optimize the operation of express and improve research and development investment, so as to help it continuously improve the performance level and market competitiveness. The research results have certain reference significance for the logistics industry to provide new performance management ideas.


YTO Express; EVA; BSC; Enterprise performance

Cite This Paper

Li Liu, Fan He. Application of Entropy Weight TOPSIS Method in Comprehensive Performance Evaluation of Logistics Industry: Take YTO Express as an Example. Academic Journal of Business & Management (2023) Vol. 5, Issue 19: 8-15. https://doi.org/10.25236/AJBM.2023.051902.


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