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Measurement of enterprise management efficiency based upon information entropy and evidence theory

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  • Jing Ren
  • Yijie Xiong

Abstract

The measurement of enterprise management efficiency is a complex and important system involving many mutual-coupling and unknown or uncertain factors. Using the information entropy principle, the weight vector of these factors can be calculated objectively. Based on this, the evidences were given by the product vector of the factor weight vector and the factor sample vector and the basic probability assignment (BPA) was obtained using matrix theory. Furthermore, the measurement model of management efficiency was established by D-S evidence. Finally, a verification case of management efficiency was given using the data that is stored in the database of enterprise management information system and the information that is given by management experts. The case results indicated that both the above method and model could decouple these mutual-coupling factors and could measure the enterprise management efficiency objectively and accurately. The method and model are not only capable for measuring management efficiency of same and different enterprises, but also for extracting decision-making information to improve enterprise management efficiency.

Suggested Citation

  • Jing Ren & Yijie Xiong, 2010. "Measurement of enterprise management efficiency based upon information entropy and evidence theory," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 2(1), pages 93-106.
    • Handle: RePEc:ids:injams:v:2:y:2010:i:1:p:93-106
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    Cited by:

    1. Liu, Yunqiang & Zhu, Jialing & Li, Eldon Y. & Meng, Zhiyi & Song, Yan, 2020. "Environmental regulation, green technological innovation, and eco-efficiency: The case of Yangtze river economic belt in China," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

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