• DocumentCode
    2110828
  • Title

    Fuzzy risk evaluation of industrial technology innovation strategic alliances

  • Author

    Wen Tang ; Zhi-xiang Li

  • Author_Institution
    Beijing Inst. of Technol., Coll. of Manage. & Econ., Beijing, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    374
  • Lastpage
    378
  • Abstract
    Industrial technology innovation strategic alliances are the new form of cooperative technological innovation organizations. The establishment of alliances is conducive to complementary advantages, but there are still certain risks in the running of alliances. Risks of alliances can be divided into two dimensions: endogenous risks and exogenous risks. Based on the risk identification of alliances, the article builds an index system of risk evaluation, which consists of two basic factors and fifteen indexes. The paper further explores the quantitative evaluation model of alliances risk. According to risk probability and severity of consequence of the risk, fuzzy comprehensive evaluation method is applies to evaluate the risk level of alliances. Entropy method is used in index weighting to avoid the subjectivity of weighting by experts. Based on the theoretical research, the paper also gives an empirical study.
  • Keywords
    entropy; fuzzy set theory; globalisation; innovation management; probability; risk analysis; cooperative technological innovation organizations; endogenous risks; entropy method; exogenous risks; fuzzy risk evaluation; industrial technology innovation strategic alliances; risk probability; Educational institutions; Entropy; Indexes; Technological innovation; Uncertainty; Vectors; Industrial technology innovation strategic alliances; entropy method; fuzzy risk evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/FSKD.2013.6816225
  • Filename
    6816225