• DocumentCode
    3204751
  • Title

    Research on the Knowledge Trade Model of Knowledge Market in Supply Chain

  • Author

    Yurong, Zhang ; Mingwei, Liu

  • Author_Institution
    Chongqing Jiaotong Univ., Chongqing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    157
  • Lastpage
    160
  • Abstract
    Supply chain is an important source of external knowledge and value creation. Similar with the knowledge flow in enterprise, the knowledge flow between enterprises in supply chain is pushed by the mechanism of knowledge market. There exists knowledge market between enterprises in supply chain. In this paper, the knowledge trade model of knowledge market in supply chain is analyzed on the basis of Davenport´s theory of internal knowledge market. According to the theory of principal agent, fully taking into account many factors, such as business risk preferences, transaction costs, as well as the knowledge seller´s willingness degree, this paper constructs a one-time knowledge trade model under asymmetric information. The conclusion implies that the effort level to the uncertainty by the manager is closely related to the earnings of all parties in knowledge trade. Meanwhile, the seller´s willingness degree and float proportion will increase with the reduce of knowledge buyer´s learning cost, knowledge seller´s sharing cost and risk aversion degree in supply chain.
  • Keywords
    knowledge management; supply chain management; asymmetric information; internal knowledge market theory; knowledge market model; knowledge trade model; learning cost; principal agent theory; risk aversion degree; seller float proportion; seller willingness degree; sharing cost; supply chain; value creation; Automation; Competitive intelligence; Costs; Gaussian distribution; Knowledge management; Pattern analysis; Production; Supply chain management; Supply chains; Uncertainty; knowledge market; knowledge trade; principal-agent; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.678
  • Filename
    5523320