• DocumentCode
    1653074
  • Title

    Notice of Retraction
    The identification method of the risk factors of knowledge sharing based on the evidence theory

  • Author

    Bi Xiao-qing ; Zhou Qing-xiang ; Yu Mang

  • Author_Institution
    Sch. of Manage., Tianjin Univ. of Technol., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • Firstpage
    630
  • Lastpage
    634
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Although knowledge sharing is the key of knowledge management, the knowledge sharing process is affected by all kinds factors of internal organization, thus reduces the efficiency and validity of knowledge sharing, these factors are the risk factors which hinder the enterprises share knowledge. In the enterprises, the risk factors of knowledge sharing are very complex and the important extent of these factors exist gaps in different enterprises, the targeted management means are taken only identifies the key factors of these risk factors. This paper analyzes the main factors which affect the knowledge sharing risks and constructs identified model of knowledge sharing risks according to D-S evidence theory. Numerical examples indicate that the use of evidential reasoning has certain validity and application value for identifying the risk factors of knowledge sharing.
  • Keywords
    knowledge management; organisational aspects; risk management; D-S evidence theory; evidence theory; identification method; internal organization; knowledge management; knowledge sharing; risk factors; Artificial intelligence; Manganese; Uncertainty; customer satisfaction; human dispatch industry; structural equation modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Management Science (ICAMS), 2010 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6931-4
  • Type

    conf

  • DOI
    10.1109/ICAMS.2010.5553073
  • Filename
    5553073