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Mapping the Field of Knowledge Management: Bibliometric and Content Analysis of Journal of Information & Knowledge Management for the Period from 2002–2016

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  • Bibi Alajmi

    (Department of Information Studies, Kuwait University, Kuwait)

  • Talal Alhaji

    (Department of Information Studies, Kuwait University, Kuwait)

Abstract

This study aims to overview the research trends in Knowledge Management (KM) using a bibliometric and content analysis. Several research questions pertaining to the annual growth of KM publications, the key topics discussed, popular methodologies, country of origin, and citations analysis are posed and answered. In total, 475 articles published in the Journal of Information & Knowledge Management (JIKM) were retrieved from the Scopus bibliographical database. The results showed a relatively steady growth in the number of articles published in JIKM between 2002 and 2016. US scholars authored 21% of the articles published in JIKM, followed by those from India (almost 10%), Australia (8%), and the UK (7.5%). It is also noteworthy that scientific papers published in JIKM are referenced in highly cited journals of computer science, business, and library and information science. Topics such as knowledge discovery, taxonomy and ontology, and knowledge representation were the major KM research trends to arise from the current phenomena of “big data” and data analytics, as reflected in the subject matter of published works. A comparison between the counts for qualitative and quantitative research methodologies showed a clear tendency toward the latter, including questionnaires, while case studies, content analysis, and framework and conceptual papers also proved to be important for KM researchers.

Suggested Citation

  • Bibi Alajmi & Talal Alhaji, 2018. "Mapping the Field of Knowledge Management: Bibliometric and Content Analysis of Journal of Information & Knowledge Management for the Period from 2002–2016," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 1-16, September.
    • Handle: RePEc:wsi:jikmxx:v:17:y:2018:i:03:n:s0219649218500272
    DOI: 10.1142/S0219649218500272
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    References listed on IDEAS

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    1. Claire McInerney, 2002. "Knowledge management and the dynamic nature of knowledge," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(12), pages 1009-1018, October.
    2. Meliha Handzic, 2015. "A Descriptive Analysis of Knowledge Management Research: Period from 1997 to 2012," Knowledge Management and Organizational Learning, in: Ettore Bolisani & Meliha Handzic (ed.), Advances in Knowledge Management, edition 127, pages 45-64, Springer.
    3. Djilali Dahmani & Sid Ahmed Rahal & Ghalem Belalem, 2016. "Improving the Performance of Data Mining by Using Big Data in Cloud Environment," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 1-18, December.
    4. R. Darby & C. Kirke, 2016. "The Development of a KIM Behavioural Framework to Support Science and Technology Knowledge Transfer in the UK Defence Sector. A Case Study Approach," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-21, September.
    5. Yinian Gu, 2004. "Global knowledge management research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(2), pages 171-190, October.
    6. Peyman Akhavan & Nader Ale Ebrahim & Mahdieh A. Fetrati & Amir Pezeshkan, 2016. "Major trends in knowledge management research: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1249-1264, June.
    7. Sajjad ur Rehman & Haya Sumait, 2010. "KM Modules: An Analysis of Coursework," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 377-385.
    8. Leonard J. Ponzi, 2002. "The intellectual structure and interdisciplinary breadth of Knowledge Management: A bibliometric study of its early stage of development," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 259-272, August.
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    2. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.

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