• DocumentCode
    3314937
  • Title

    Application of grey theory in virtual logistics enterprise knowledge sharing risk early-warning

  • Author

    Shi, Cheng-dong ; Bian, Dun-xin

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    250
  • Lastpage
    254
  • Abstract
    Through analyzing the evaluation criteria of virtual logistics enterprise (logistic alliance) knowledge sharing risk early-warning system, a hierarchical evaluation attribute structure model was proposed in this paper. Then, by utilizing the method of grey theory, the grey evaluation model was constructed, the degree of knowledge sharing risk was assessed and its detailed calculation steps were designed. Finally, an example was used to verify the effectiveness and the practical value of the grey evaluation method, the grade of knowledge sharing risk early-warning is gained, and the evaluation result is consistent with the actual result.
  • Keywords
    knowledge management; logistics data processing; risk management; virtual enterprises; grey evaluation model; grey theory; hierarchical evaluation attribute structure model; knowledge sharing risk early-warning system; virtual logistics enterprise; Contracts; Dispersion; Knowledge engineering; Knowledge management; Knowledge transfer; Logistics; Protection; Risk analysis; Supply chains; Weight control; grey theory; knowledge sharing; risk early-warning model; virtual logistics enterprise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234716
  • Filename
    5234716