Research on the Performance Evaluation Index System of Logistics Enterprises Based on Improved BSC

Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v5i5.2897

Yichao Wan

School of Economics and Management, Jiangxi Tourism & Commerce Vocational College, Nanchang, Jiangxi, China

Abstract

The performance evaluation index system and empirical research of logistics enterprises based on improved BSC: Logistics enterprises are facing increasingly fierce global competition, and comprehensive, accurate, and timely evaluation of their comprehensive performance is the key to ensuring the efficient operation of logistics enterprises. This article focuses on the performance evaluation of logistics enterprises and redesigns an evaluation index system based on BSC, which includes five dimensions: finance, customers, internal processes, learning and growth, and policies. Subsequently, by combining the Analytic Hierarchy Process (AHP) to determine the weights of indicators and using the fuzzy comprehensive evaluation method as the basic model, a practical and feasible performance evaluation model for logistics enterprises is obtained. Finally, using data for case analysis, the rationality of the model was verified, providing a theoretical basis for further research on performance evaluation of logistics enterprises in the future.

Keywords

performance evaluation of logistics enterprises; fuzzy comprehensive evaluation; analytic hierarchy process; balanced scorecard

References

[1]Wang Xi.Research on Service Innovation Performance Evaluation of Modern Logistics Enterprises based on Entropy-dual Point Method.JiLin University.
[2]Li Yu.Research on Performance Evaluation of Green Innovation in Logistics Enterprises Under the Background of ESG.Logistics Sci-Tech.2023(18):66-69.
[3]Wang Chi,Fan Anyi,Qian Minghui.Research on the Evaluation Index System for Sustainable Development of Logistics Enterprises.Logistics Management.2021(09):87-90.
[4]Du Zhiping,Zhang Meng.Performance evaluation of cross-border e-commerce logistics enterprises.Statistics & Decision.2020(21):181-184.
[5]Du Hongyan.Construction and Application of Innovation Performance Evaluation Model for Logistics Enterprises.Statistics & Decision.2017(19):44-48.

Copyright © 2024 Yichao Wan

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