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Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective

Author

Listed:
  • Xueling Li
  • Yujie Long
  • Meixi Fan
  • Yong Chen
Abstract
Artificial intelligence (AI) has been adopted in entrepreneurial practices and generates huge economic benefits. It creates a number of digital start‐ups and changes the way in which entrepreneurial research and practice interact. Existing studies on the cross‐field of AI and entrepreneurial management are scattered. Accordingly, this paper conducts a comprehensive and systematic review of existing studies on AI in entrepreneurial management by applying VOSviewer, a knowledge graph tool, based on the data obtained from the Web of Science. The study standardizes and analyses prominent research topics, interprets research hotspots and points out directions for further research.

Suggested Citation

  • Xueling Li & Yujie Long & Meixi Fan & Yong Chen, 2022. "Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 379-396, May.
    • Handle: RePEc:bla:srbeha:v:39:y:2022:i:3:p:379-396
    DOI: 10.1002/sres.2855
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    References listed on IDEAS

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    Cited by:

    1. Mohammad Daradkeh, 2023. "Navigating the Complexity of Entrepreneurial Ethics: A Systematic Review and Future Research Agenda," Sustainability, MDPI, vol. 15(14), pages 1-30, July.
    2. Li Da Xu, 2022. "Systems research on artificial intelligence," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 359-360, May.

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