• DocumentCode
    3179591
  • Title

    Research on the relationship between knowledge grey generation and innovation performance in knowledge-based enterprises

  • Author

    Wenping, WANG ; Haiyan, Shan ; Yuqing, Chen ; Cheng, Yongbo

  • Author_Institution
    Econ. & Manage. Sch., Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    692
  • Lastpage
    698
  • Abstract
    The knowledge grey generation process in knowledge-based enterprises consists of the merging, recombination, splitting and deletion of knowledge units, which is the smallest behavior unit of the transformation from internal knowledge to value. This paper establishes a knowledge grey generation model of the knowledge-based enterprises to study the relationship between knowledge grey generation and innovation performance. Through simulation analysis, it concludes that the knowledge grey generation strength can influence the innovation performance differently in the enterprises of different innovation modes. Specifically, in the initial stage of knowledge generation, the innovation performance increases with the knowledge grey generation strength; with time evolution, the innovation performance will be down after it gets the maximum; the rules of the relationship between knowledge grey generation strength and innovation performance are different under different innovation modes.
  • Keywords
    business process re-engineering; grey systems; innovation management; knowledge management; numerical analysis; innovation performance; knowledge deletion; knowledge grey generation; knowledge merging; knowledge recombination; knowledge splitting; knowledge units; knowledge-based enterprises; Knowledge based systems; Merging; Technological innovation; innovation mode; innovation performance; knowledge grey generation; knowledge-based enterprise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5641833
  • Filename
    5641833