• DocumentCode
    483231
  • Title

    Grey Evaluation Method of Knowledge Management Capability

  • Author

    Zheng, Wenshan ; Hu, Yangcheng

  • Author_Institution
    Dept. of Manage. & Econ., West Branch of Zhejiang Univ. of Technol., Quzhou
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    256
  • Lastpage
    260
  • Abstract
    Knowledge management capability (KMC) evaluation is a required work with strategic significance. However it still has not been addressed in the extant literature. KMC evaluation is involved in multi-criteria decision-making problems and the evaluation indexes are characterized with grey, fuzzy and difficult to quantify. Therefore, the objective of this study is to investigate a grey evaluation method for KMC. First, a framework for evaluating KMC is presented, which includes two dimensions and six attributes. Then, the analytic hierarchy process (AHP) and the theory of grey system are introduced in setting up a comprehensive evaluation model. Additionally, an example is used to illustrate the availability of the proposed method. The result shows that grey evaluation which combines advantages of the qualitative and quantitative methods can be applied to evaluate KMC conveniently and scientifically. Meanwhile the evaluation results can help practitioners judge the necessity to improve the KMC and determine which dimension or attribute is the most needed direction to improve.
  • Keywords
    grey systems; knowledge management; analytic hierarchy process; grey evaluation method; knowledge management capability; multi-criteria decision-making problems; Data mining; Decision making; Delay; Employee rights; Engineering management; Gold; Knowledge acquisition; Knowledge engineering; Knowledge management; Technology management; evaluation; grey system theory; knowledge management capability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.205
  • Filename
    4771926