Research on the Trends and Features of Enterprise Digital Transformation: Based on the WOS Database

Ruifeng JIN, Shijie ZHOU

Abstract


In the context of the digital economy, in order to systematically understand the overall characteristics of the digital transformation of Chinese enterprises, this article conducts a statistical analysis of hotspots and trends in this field, which can provide a useful directional reference for subsequent scholars. Using literature statistical methods, processing literature data based on CiteSpace software, using data mining thinking to analyze scientific metrology knowledge graphs, selecting the enterprise digital transformation research papers published in the Web of Science database from 2008 to 2021 as the research object, Analyze the changes in the volume of articles, research institutions, authors, and keywords. The research shows that after 2018, it is a period of rapid development of enterprise digital transformation; paper publishing institutions are mainly concentrated in institutions and universities that are excellent in engineering and management. Most institutions conduct corresponding research independently, but cooperative research is Future trends; five author research communities constitute the main research strength; the research mainly focuses on digital government, intelligent manufacturing, industrial Internet and supply chain management, and has important theoretical reference value for the development of digital transformation of Chinese enterprises.


Keywords


Digital transformation; Knowledge graph; CiteSpace; Hots pot

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References


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DOI: http://dx.doi.org/10.3968/12242

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