数字化转型对企业绩效影响研究——基于数字化深度与广度视角的实证分析
Research on the Impact of Digital Transformation on Corporate Performance:An Empirical Analysis from the Perspectives of Digital Depth and Breadth
吴洁 1周胜娣 2王改银2
作者信息
- 1. 上海立信会计金融学院 201209
- 2. 华东师范大学经济与管理学院 200062
- 折叠
摘要
数字技术如何影响企业绩效已经成为当今学术界广泛关注的热点话题,本文基于构建我国A股上市公司年报数字化词汇网络,通过判断企业在数字化网络中的嵌入程度生成数字化转型深度与广度指标,并探究二者对企业绩效的影响.研究发现,数字化转型深度显著提升了企业绩效,而数字化转型广度对企业绩效的影响呈"倒U型"关系.进一步研究表明,期间费用率和总资产周转率是数字化转型广度的潜在影响渠道.此外,异质性检验发现,劳动密集型和内部控制能力强的企业的数字化转型与企业绩效之间关系更为显著,进一步证实了本文的研究结论.基于研究结论,本文提出相应的政策建议,为探究数字化转型与企业绩效之间的复杂动态关系提供了新的视角,为推进中国企业的数字化转型战略提供了思路.
Abstract
How digital technology impacts corporate performance has become a widely discussed topic in academia today.This paper constructs a digital vocabulary network from the annual reports of A-share listed companies in China to assess the degree of firms'integration within the digital network,subsequently generating indicators for the depth and breadth of digital transformation to investigate their impact on corporate performance.We find that the depth of digital transformation significantly enhances corporate performance,while the impact of the breadth of digital transformation on corporate performance follows an inverted U-shaped relationship.Further analysis indicates that the period expense ratio and total asset turnover rate are potential channels through which the breadth of digital transformation affects corporate performance.Additionally,heterogeneity tests reveal that the relationship between digital transformation and corporate performance is more pronounced in labor-intensive firms and those with strong internal control capabilities,further validating the study's conclusions.Based on these findings,this paper offers policy recommendations,providing novel insights into the intricate dynamic relationship between digital transformation and corporate performance and offering strategic guidance for advancing the digital transformation initiatives of Chinese enterprises.
关键词
数字化转型/企业绩效/数字化广度/数字化深度/自然语言处理Key words
Digital Transformation/Corporate Performance/Digital Breadth/Digital Depth/Natural Language Processing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据