• Overview of Chinese core journals
  • Chinese Science Citation Database(CSCD)
  • Chinese Scientific and Technological Paper and Citation Database (CSTPCD)
  • China National Knowledge Infrastructure(CNKI)
  • Chinese Science Abstracts Database(CSAD)
  • JST China
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SHAO Yun-fei, LIU Lu-yao, KONG Wei-jia. Research Status and Trends of Enterprise Digital Transformation——Based on the Visual Analysis of CiteSpace[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(5): 34-45. DOI: 10.14071/j.1008-8105(2022)-4012
Citation: SHAO Yun-fei, LIU Lu-yao, KONG Wei-jia. Research Status and Trends of Enterprise Digital Transformation——Based on the Visual Analysis of CiteSpace[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(5): 34-45. DOI: 10.14071/j.1008-8105(2022)-4012

Research Status and Trends of Enterprise Digital TransformationBased on the Visual Analysis of CiteSpace

  • Purpose/Significance The digital economy is booming, and digital transformation has become not only a key strategic choice for enterprises but also a research hotspot in the field of management. In recent years, the number of researches related to enterprise digital transformation have increased dramatically, and it is necessary to improve the awareness of enterprise digital transformation among academic and industry circles. Design/Methodology The CiteSpace software is used to visualize the research related to enterprise digital transformation, sort out the research status, research hotspots and trends of enterprise digital transformation. Conclusions/Findings In recent years, researches related to enterprise digital transformation have been explosive growth and a cooperation network has formed between publishing countries. Then publishing institutions are concentrated in universities, and no stable author group has formed among these authors. Research hotspots and trends closely revolve around the context of “driving factors–process mechanism–influencing results”. In addition, guidance and reference for the future research on the drivers, process mechanisms and influencing results of enterprise digital transformation have been provided.
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