Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Analysis of Knowledge Management Trend by Bibliometric Approach

Authors: Hsu-Hao Tsai, Jiann-Min Yang

Abstract:

The analysis is mainly concentrating on the knowledge management literatures productivity trend which subjects as “knowledge management" in SSCI database. The purpose what the analysis will propose is to summarize the trend information for knowledge management researchers since core knowledge will be concentrated in core categories. The result indicated that the literature productivity which topic as “knowledge management" is still increasing extremely and will demonstrate the trend by different categories including author, country/territory, institution name, document type, language, publication year, and subject area. Focus on the right categories, you will catch the core research information. This implies that the phenomenon "success breeds success" is more common in higher quality publications.

Keywords: Knowledge Management, SSCI, Bibliometric, Lotka's Law

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073209

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 860

References:


[1] Nonaka, Ikujiro, "The knowledge creating company", Harvard Business Review, vol. 69, no.6, pp. 96-104, Nov-Dec 1991.
[2] Alavi, Maryam; Leidner, Dorothy E., "Knowledge management systems: issues, challenges, and benefits", Communications of the AIS, vol. 1, issue 2, February 1999.
[3] Addicott, Rachael; McGivern, Gerry; Ferlie, Ewan, "Networks, Organizational Learning and Knowledge Management: NHS Cancer Networks", Public Money & Management, vol. 26, no. 2, pp. 87-94, April 2006.
[4] McAdam, Rodney; McCreedy, Sandra (2000). "A Critique Of Knowledge Management: Using A Social Constructionist Model", New Technology, Work and Employment, vol. 15, no. 2, September 2000.
[5] Thompson, Mark P.A. & Geoff Walsham, "Placing Knowledge Management in Context", Journal of Management Studies , vol. 41, no. 5, pp. 725-747, July 2004.
[6] Tsai, Ming-Yue, The characteristic of informetric and bibliometric, Taiwan: Hwa-Tai, 2003, ch. 6.
[7] Pao, M. L., Concept of Information Retrieve, Englewood, Colorado: Libraries Unlimited, pp. 23-25, 1989.