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Information management or knowledge management? An informetric view of the dynamics of Academia

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  • Yinian Gu

    (Tsinghua University)

Abstract

This study analyzes the similarities and differences of performance of information management (IM) and knowledge management (KM) research publication indexed by the SCI-EXPANDED, SSCI and A&HCI databases since 1994 with informetric methods in order to explore a developing tendency in the near future. The bibliographic search supplied 1199 IM and 1063 KM records. A very few of IM and KM authors contributed two or more articles. Four countries dominated global IM and KM research productivity, while a few institutions played remarkable roles in scholarly activity. IM journals distributed widespread and 84 per cent just published one or two articles; KM publications were rather concentrated to core and borderline periodicals, fitting Bradford's law of scattering and. The result of Pearson's correlation coefficients analysis indicates that the higher the journal impact factor, the more times the published article is cited. The author concludes that KM has been leading IM in both publication productivity and academic population and the tendency is overwhelmingly growing.

Suggested Citation

  • Yinian Gu, 2004. "Information management or knowledge management? An informetric view of the dynamics of Academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(3), pages 285-299, November.
    • Handle: RePEc:spr:scient:v:61:y:2004:i:3:d:10.1023_b:scie.0000045111.51946.ba
    DOI: 10.1023/B:SCIE.0000045111.51946.ba
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    References listed on IDEAS

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    1. Ronald Rousseau & Guido Van Hooydonk, 1996. "Journal production and journal impact factors," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 47(10), pages 775-780, October.
    2. David C. Blair, 2002. "Knowledge management: Hype, hope, or help?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 53(12), pages 1019-1028, October.
    3. Maria Bordons & M. T. Fernández & Isabel Gómez, 2002. "Advantages and limitations in the use of impact factor measures for the assessment of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 195-206, February.
    4. Johannes Stegmann & Guenter Grohmann, 2001. "Citation rates, knowledge export and international visibility of dermatology journals listed and not listed in theJournal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 483-502, March.
    5. Per O. Seglen & Dag W. Aksnes, 2000. "Scientific Productivity and Group Size: A Bibliometric Analysis of Norwegian Microbiological Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 125-143, August.
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    Cited by:

    1. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    2. Serenko, Alexander & Cox, Raymond A.K. & Bontis, Nick & Booker, Lorne D., 2011. "The superstar phenomenon in the knowledge management and intellectual capital academic discipline," Journal of Informetrics, Elsevier, vol. 5(3), pages 333-345.
    3. Shaoai Liu & Wan-Yi Li, 2020. "Ecotourism Research Progress: A Bibliometric Analysis During 1990–2016," SAGE Open, , vol. 10(2), pages 21582440209, May.

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