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

IF 2.9 2区 数学 Q1 ECONOMICS Journal of Business & Economic Statistics Pub Date : 2023-02-16 DOI:10.58567/jes01010005
Nannan Zhou, Changluan Shao, Yongqing Chen, Huaming Liu
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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development model and profit mode of the digital economy industry, the traditional performance evaluation method is no longer applicable, so it is particularly important to improve the previous performance evaluation method.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.
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数字经济行业用户价值绩效评价:基于改进EVA模型
随着科学技术的进步和数字经济的到来,数字经济已经成为经济发展的新动力,国内外数字经济产业面临着新的生存和发展机遇。但是,由于数字经济行业特殊的发展模式和盈利模式,传统的绩效评价方法已经不再适用,因此对以往的绩效评价方法进行改进就显得尤为重要。本文首先根据数字经济行业的特点对客户价值评估(CLV)模型进行了调整,然后在调整后的数字经济行业用户价值评估(ULV)模型的基础上对传统EVA进行了分析。完善绩效评价体系,选取阿里巴巴、京东、拼多多等数字经济行业代表性企业进行绩效评价分析,整合、创新、规范数字经济行业用户价值绩效评价模型,为数字经济行业绩效评价的后续研究和实践提供借鉴和参考。
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来源期刊
Journal of Business & Economic Statistics
Journal of Business & Economic Statistics 数学-统计学与概率论
CiteScore
5.00
自引率
6.70%
发文量
98
审稿时长
>12 weeks
期刊介绍: The Journal of Business and Economic Statistics (JBES) publishes a range of articles, primarily applied statistical analyses of microeconomic, macroeconomic, forecasting, business, and finance related topics. More general papers in statistics, econometrics, computation, simulation, or graphics are also appropriate if they are immediately applicable to the journal''s general topics of interest. Articles published in JBES contain significant results, high-quality methodological content, excellent exposition, and usually include a substantive empirical application.
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