• DocumentCode
    479650
  • Title

    Performance evaluation of tacit knowledge management based on multiple indicator ideal interval methods

  • Author

    Lan, Tian ; Zhong, RunTong ; Dai, Hong

  • Author_Institution
    Sch. of Econ. & Manage., Beijing Jiaotong Univ., Beijing
  • Volume
    1
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    858
  • Lastpage
    864
  • Abstract
    Based on the characteristic of tacit knowledge management and the methodology of enterprise performance evaluation, an evaluation indicator system for the management performance of tacit knowledge is set up in this paper. Then a new method of performance evaluation of knowledge management named as multiple indicator ideal interval methods is proposed. In the end, a company is taken as an example to be worked out its performance of tacit knowledge management using this new method. The new method is proved to be correct by the comparison between the results worked out by this new method and other existing methods.
  • Keywords
    genetic algorithms; knowledge management; enterprise performance evaluation; evaluation indicator system; genetic algorithms; multiple indicator ideal interval methods; tacit knowledge management; Appraisal; Companies; Decision making; Economic indicators; Genetic algorithms; Knowledge management; Production; Genetic Algorithms; Ideal Interval Methods which has Multiple Indicator; Knowledge Management; Performance Evaluation; Tacit Knowledge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2012-4
  • Electronic_ISBN
    978-1-4244-2013-1
  • Type

    conf

  • DOI
    10.1109/SOLI.2008.4686519
  • Filename
    4686519