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论文编号：	14770
作者编号：	2120223663
上传时间：	2024/6/8 22:54:10
中文题目：	突发公共卫生事件对企业数字化转型及其驱动因素的影响研究
英文题目：	Study on the impact of public health emergencies on enterprise digital transformation and its driving factors
指导老师：	牛芳
中文关键字：	企业数字化转型；新冠肺炎疫情；文本分析；夏普利值
英文关键字：	Enterprise digitization; The COVID-19 pandemic; Text analysis; SHAP value
中文摘要：	党的十九届四中全会将数据列为第七大生产要素，数据经济成为我国经济体系中不可或缺的重要一环，而数字化转型则成为我国企业顺应潮流、保持竞争优势的必然举措。新冠肺炎疫情的到来对我国经济社会的正常发展带来了严重影响，同时也倒逼我国企业加速数字化转型的进程。 本文以新冠肺炎疫情为例，探究突发公共卫生事件对企业数字化转型及其驱动因素的影响。首先构建了包括1002个关键词在内的企业数字化转型相关关键词词库，作为衡量企业数字化转型成熟度的依据。其次，以2013-2022年沪深两市A股上市公司为样本，通过固定效应模型回归探究新冠肺炎疫情冲击对我国企业数字化转型成熟度的影响是否显著。最后，在此基础上按是否受到新冠肺炎疫情冲击将样本上市公司数据分组回归并测算夏普利值，讨论驱动或抑制我国企业数字化转型的影响因素是什么，以及其影响大小在疫情前和疫情期间发生了何种变化。 研究发现新冠肺炎疫情冲击对我国企业数字化转型起到了显著的正向促进作用，且对国有企业的促进作用比非国有企业更明显，对中部和西部企业的促进作用比东部企业更明显。对于企业数字化转型的影响因素，本文发现与企业数字化转型成熟度呈正相关关系的因素包括研发投入、技术人员数量、员工学历等；而呈负相关关系的因素则包括固定资产占比、资产负债率、是否亏损等。此外，本文还发现在新冠肺炎疫情冲击期间，企业数字化转型所面临的内部阻力相比疫情前会显著减小，说明在面临巨大外部冲击时，企业内部的变革阻力会受到明显抑制。 本文首先构建了相比现有研究更丰富的数字化转型关键词词库，能更全面地衡量出企业数字化转型的成熟度。此外，本文在定量研究新冠肺炎疫情对企业数字化转型影响的基础上，首次比较了新冠肺炎疫情前与疫情期间企业数字化转型影响因素的贡献度大小。本文研究有助于理解企业数字化转型的内在机理，帮助我国企业有效推进数字化转型。
英文摘要：	The Fourth Plenary Session of the 19th Central Committee of the Communist Party of China listed data as the seventh production factor, data economy has become an indispensable part of China's economic system, and digital transformation has become an inevitable measure for Chinese enterprises to conform to the trend and maintain competitive advantages. The arrival of the novel coronavirus epidemic has had a serious impact on the normal development of China's economy and society, and also closed down the process of digital transformation of Chinese enterprises. Taking the COVID-19 epidemic as an example, this paper explores the impact of public health emergencies on enterprise digital transformation and its drivers. Firstly, this study constructs a keyword database related to enterprise digital transformation as a basis to measure the maturity of enterprise digital transformation. Secondly, taking A-share listed companies in Shanghai and Shenzhen from 2013 to 2022 as samples, the fixed-effect model regression is used to explore whether the impact of COVID-19 on the digital transformation maturity of Chinese enterprises is significant. Finally, on this basis, the data of sample listed companies are grouped into regression groups and the Shapley value is measured according to whether they are affected by the COVID-19 epidemic, and the influencing factors that drive or suppress the digital transformation of Chinese enterprises are discussed, as well as the changes of their influence before and during the epidemic. It is found that the impact of COVID-19 has a significant positive promoting effect on the digital transformation of Chinese enterprises, and the promoting effect on state-owned enterprises is more obvious than that on non-state-owned enterprises, and the promoting effect on central and western enterprises is more obvious than that on eastern enterprises. As for the influencing factors of enterprises' digital transformation, this study finds that the factors that are positively correlated with the maturity of enterprises' digital transformation include R&D investment, the number of technical personnel, and the educational background of employees. The negative correlation factors include the proportion of fixed assets, asset-liability ratio, loss or not. In addition, this study also found that during the impact of the COVID-19 epidemic, the internal resistance faced by enterprises to digital transformation was significantly reduced compared with that before the epidemic, indicating that the internal resistance to change would be significantly inhibited when faced with a huge external impact. In this study, we first constructed a digital transformation keyword thesaurus with 1002 terms, which is richer than existing research thesaurus and can measure the maturity of enterprises' digital transformation in a more comprehensive way.In addition, based on the quantitative study of the impact of COVID-19 on enterprise digital transformation, this study compares the contribution of the influencing factors of enterprise digital transformation before and during the COVID-19 epidemic for the first time. The research results of this paper are helpful to understand the internal mechanism of enterprise digital transformation and help Chinese enterprises effectively promote digital transformation.
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