Organizational Unlearning

A Bibliometric Study and Visualization Analysis Via CiteSpace

Bibliographic Data

ID16913626
AuthorsJiang Chen (0000-0002-6842-8471), Chen Jiang (0000-0001-5223-2725, Hainan Normal University), Zobo Ongono Emilienne Charlotte (0000-0003-4019-2652, Hainan Normal University), Yana Yuan (0000-0002-5534-8528, Hainan Normal University, corresponding author)
Year2024
Volume14
Issue2
Publication date2024-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440241251648
OpenAlexW4398148739
LanguageEN
Citations received1
References cited37

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

Bibliometrics · Data science · Knowledge management · Library science · Sociology · Visualization · Computer Science · Innovation and Knowledge Management · Psychology · Quality and Supply Management · Artificial Intelligence

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Open DOIOpen Access