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Evaluating the knowledge management capability of organizations through a fuzzy linguistic approach

Jian Ma, Yong-Hong Sun, Zhi-Ping Fan

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper presents a group evaluation structure model for evaluating the knowledge management capability (KMC) of an organization. An algorithm is also proposed to determine the degrees of KMC of an organization using a fuzzy linguistic approach. With the results of the degree of KMC, an organization can decide when and where to improve its KMC. A practical example is used to illustrate the application of the proposed method. The results of KMC obtained through the proposed method are objective and unbiased due to the following two reasons. Firstly, the results are generated by a group of evaluators. Secondly, the fuzzy linguistic approach used in this paper has the advantage to reduce information distortion and losing over other fuzzy linguistic approaches.
Original languageEnglish
Title of host publication9th Pacific Asia Conference on Information Systems: I.T. and Value Creation, PACIS 2005
Pages301-313
Publication statusPublished - 2005
Event9th Pacific Asia Conference on Information Systems: I.T. and Value Creation, PACIS 2005 - Bangkok, Thailand
Duration: 7 Jul 200510 Jul 2005

Conference

Conference9th Pacific Asia Conference on Information Systems: I.T. and Value Creation, PACIS 2005
PlaceThailand
CityBangkok
Period7/07/0510/07/05

Research Keywords

  • 2-tuple
  • Knowledge management (KM)
  • Knowledge management capability (KMC)
  • Linguistic assessment information

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