统计研究 ›› 2024, Vol. 41 ›› Issue (3): 62-73.doi: 10.19343/j.cnki.11–1302/c.2024.03.005

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企业数字化转型:概念内涵、统计测度技术路线和改进思路

杨彦欣 高敏雪   

  • 出版日期:2024-03-25 发布日期:2024-03-25

Enterprise Digital Transformation: Concepts, Technical Routes of Statistical Measurement, and Ideas for Improvement

Yang Yanxin Gao Minxue   

  • Online:2024-03-25 Published:2024-03-25

摘要: 数字化转型是数字经济的重要推力,是企业实现提质降本增效目标、发现并创造新价值的必由之路。高质量的统计测度是研究数字化转型作用机制的基础,学界和业界目前已经就这一问题形成成熟度模型构建、文本分析和数字化无形资产占比测算三条主要技术路线,政府部门亦在指标体系构建方面有所作为。本文首先介绍数字化转型的概念内涵和属性;再对三条统计测度技术路线进行系统概述,围绕测度框架和数据来源评价其各自优劣,选出首选路线;最后分别面向学界业界和政府统计部门提出后续改进思路。本文试图在提高企业数字化转型统计测度质量方面做出理论贡献,以期为后续有关企业数字化转型的研究提供支持。

关键词: 企业数字化转型, 统计测度, 成熟度模型, 文本分析, 数字化无形资产

Abstract: Digital transformation is an important driver of the digital economy, and a road that enterprises must take to achieve the goal of “improving quality, reducing cost and increasing efficiency” and to discover and create new value. Statistical measurements with high quality are the basis for studying the role of digital transformation. At present, the academic community and the industry have formed three main technical routes on this issue, i.e. maturity model, text analysis, and the proportion of digital intangible assets. Government departments have also made contributions to the construction of indicator systems. This paper first introduces the concepts and attributes of digital transformation, then systematically summarizes the three technical routes of statistical measurement, evaluates their respective strengths and weaknesses from the perspectives of measurement framework and data sources, selects the preferred route, and finally proposes subsequent improvement ideas to the academic community, the industry, and official statistical departments. This paper attempts to make theoretical contributions in improving the quality of the statistical measurement of enterprise digital transformation, with a view to providing support for subsequent research on enterprise digital transformation.

Key words: Enterprise Digital Transformation, Statistical Measurement, Maturity Model, Text Analysis, Digital Intangible Assets