• DocumentCode
    515145
  • Title

    The study on performance evaluation of enterprise value chain based on knowledge management

  • Author

    Chunyu, Zhao

  • Author_Institution
    Manage. Sch., Harbin Univ. of Commerce, Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    756
  • Lastpage
    758
  • Abstract
    Enterprises are in the knowledge based economic environment, and with the rapid growth of knowledge and information they will face a higher level competition on knowledge. The principles were brought forward to define and implement the knowledge value chain model and management. By using the Balanced Scorecard model and Entropy weight, a system was established to evaluate the knowledge value chain management performance in enterprises. Conclusion can be drawn as follows: knowledge value chain of enterprise is customer demand orientated, it is the link structure composed of the processes of knowledge accumulation and innovation, knowledge value chain management performance could be implemented with the reference to balanced scorecard which provides more specific direction and evaluation criteria, and entropy weight method is scientific and effective for the performance evaluation.
  • Keywords
    knowledge management; performance evaluation; value engineering; balanced scorecard model; enterprise value chain; entropy weight method; evaluation criteria; knowledge based economic environment; knowledge management; knowledge value chain management performance; knowledge value chain model; performance evaluation; Asset management; Business; Educational institutions; Electronic mail; Entropy; Environmental management; IP networks; Innovation management; Knowledge management; Technological innovation; Enterprise Value Chain; Knowledge Management; Performance Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Systems and Intelligent Management, 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-7331-1
  • Type

    conf

  • DOI
    10.1109/ICLSIM.2010.5461084
  • Filename
    5461084