Organizational Unlearning: A Bibliometric Study and Visualization Analysis via CiteSpace

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  • Author(s): Jiang Chen; Zobo Ongono Emilienne Charlotte (ORCID Zobo Ongono Emilienne Charlotte (ORCID 0000-0003-4019-2652); Yana Yuan (ORCID Yana Yuan (ORCID 0000-0002-5534-8528)
  • Language:
    English
  • Source:
    SAGE Open. 2024 14(2).
  • Publication Date:
    2024
  • Document Type:
    Journal Articles
    Information Analyses
  • Additional Information
    • Availability:
      SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: [email protected]; Web site: https://sagepub.com
    • Peer Reviewed:
      Y
    • Source:
      19
    • Subject Terms:
      Organizational Learning; Bibliometrics; Educational Trends; Educational Research; Authors; Citations (References); Foreign Countries; Journal Articles; Publications; Cooperation; Visualization; Multivariate Analysis
    • Subject Terms:
      United States; Spain; China; United Kingdom (England); Canada; Australia; Turkey; Netherlands; India; Japan
    • Accession Number:
      10.1177/21582440241251648
    • ISSN:
      2158-2440
    • Abstract:
      Coping with evolution and the changes it brings to the workplace remains a major concern for organizational leaders. This study explores the hotspots, trends, and future directions of the field of organizational unlearning to complement the extant research. A bibliometric analysis based on the literature collected by the Web of Science database was used to categorize or cluster different authors, their countries, institutions and different keywords (cooperation among authors, co-citation, co-occurrence of keywords), to discover their uniqueness or determine the relationship between them while using CiteSpace software to draw knowledge graphs and then results. This study advances the debate on sustainable knowledge acquisition in organizations and its interaction with organizational unlearning. It directly aids the process of radical change in workplace learning and training models and provides a clear view of the previous literature on organizational unlearning by laying a solid foundation for future research in the field of learning.
    • Abstract:
      As Provided
    • Publication Date:
      2024
    • Accession Number:
      EJ1433497