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Performance evaluation of user value in digital economy industry: Based on the improvement EVA model

Author

Listed:
  • Nannan Zhou

    (School of Economics and Management, Qingdao University of Science and Technology, Qingdao, China)

  • Changluan Shao

    (School of Economics and Management, Qingdao University of Science and Technology, Qingdao, China)

  • Yongqing Chen

    (School of Economics and Management, Qingdao University of Science and Technology, Qingdao, China)

  • Huaming Liu

    (Faculty of Economics and Business, University of Granada, Granada, Spain)

Abstract

With the advancement of science and technology and the advent of the digital economy, the digital economy has become a new driving force for economic development, and the digital economy industry at home and abroad is facing new opportunities for survival and development. However, due to the special development model and profit mode of the digital economy industry, the traditional performance evaluation method is no longer applicable, so it is particularly important to improve the previous performance evaluation method. This paper first adjusts the customer value assessment (CLV) model according to the characteristics of the digital economy industry, and then analyzes the traditional EVA based on the adjusted user value assessment (ULV) model of the digital economy industry. The performance evaluation system is improved, and the representative enterprises of Alibaba, JD and Pinduoduo in the digital economy industry are selected for performance evaluation and analysis, and the user value performance evaluation model of the digital economy industry is integrated, innovated and standardized, in order to provide reference and reference for the follow-up research and practice of performance evaluation in the digital economy industry.

Suggested Citation

  • Nannan Zhou & Changluan Shao & Yongqing Chen & Huaming Liu, 2023. "Performance evaluation of user value in digital economy industry: Based on the improvement EVA model," Journal of Economic Statistics, Anser Press, vol. 1(1), pages 94-108, February.
    • Handle: RePEc:bba:j00005:v:1:y:2023:i:1:p:94-108:d:118
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