• DocumentCode
    532479
  • Title

    Analysis on the weighted knowledge network in industrial cluster

  • Author

    Yang, Zhao ; Gao, Bin

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of posts & Telecommun., Nanjing, China
  • Volume
    8
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    There has been a hot stream of research on competitive advantage of enterprises in industrial cluster where members connect with each other by the social behavior of knowledge transfer. The investigation of the relationship among these members can explain the formation of competitive advantage of industrial cluster effectively. The operation of cluster knowledge network is good to form interactive learning mechanism, promote knowledge innovation, and create new advantages. How to promote the formation of innovation networks of industrial clusters becomes an urgent problem of decision-makers to explore and solve gradually. Based on the three-tier model of the enterprise knowledge networks, this study constructs a three-tier network model of the cluster knowledge network to investigate the industry clusters from the network perspective. After reviewing the development of weighted network models, a weighted knowledge network was built using the characteristic variables, such as frequency of communication and clustering of communication. A dynamical model measuring knowledge flow was set up to characterize the knowledge intensity of the cluster members, which in term, will also provide a reference for future study on weighted knowledge network.
  • Keywords
    business communication; knowledge management; organisational aspects; technology management; cluster members; decision-makers; enterprise knowledge networks; industrial cluster; innovation networks; interactive learning mechanism; knowledge innovation; knowledge intensity; knowledge transfer; social behavior; three-tier model; Knowledge engineering; clustering of communication; frequency of communication; industrial cluster; knowledge networks; knowledge transfer; weighted network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620602
  • Filename
    5620602