• DocumentCode
    2605466
  • Title

    The risk of cascading breakdown in industrial cluster innovation networks: A complex networks perspective

  • Author

    Guo-hong, Wang ; Rui, Xing ; Li-yan, Tang ; Kittisarawanno, Supatida

  • Author_Institution
    Sch. of Manage., Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    24-26 Nov. 2010
  • Firstpage
    1445
  • Lastpage
    1455
  • Abstract
    It is of significantly concern that an industrial cluster would be broken down due to the bankruptcy of a very few enterprises through the cascading failure process. Based on the complex network theory, the evolution mechanism of cluster innovation networks is analyzed, and a model of cascading failure in the cluster innovation networks is developed. This study shows that: (1) there is a close relation between the evolution mechanism of cluster innovation networks and the risk-resistant capability of the networks, and the process of evolving based on the principle of “preferential attachment” brings about the scale-free character of the cluster innovation networks; (2) the uniform distribution of enterprises strength contributes to improve the invulnerability of the innovation networks; (3)there is a threshold of inter-firm connection density that intensive inter-firm relationship contributes to the risk-resistant ability of innovation networks up to a threshold and beyond which more intensive inter-firm relationship can lead to a decrease in risk-resistant ability of innovation networks. Finally, it is found that the key factors causing the cascading breakdown of cluster innovation networks can be summarized into three areas: the distribution of inter-firm connections, the distribution of firms´ risk-resistant capabilities, and the innovation capabilities of the enterprises within the cluster. Some recommendations regarding to improving the robustness of cluster innovation networks are proposed in order to avoid the occurrence of cascading breakdown in industrial cluster.
  • Keywords
    complex networks; graph theory; innovation management; organisational aspects; risk management; bankruptcy; cascading breakdown occurence; cascading failure process; complex network theory; complex networks perspective; enterprises strength; evolution mechanism; industrial cluster innovation networks; intensive interfirm relationship; interfirm connection density; invulnerability; preferential attachment; risk-resistant ability; risk-resistant capability; scale-free character; uniform distribution; Companies; Complex networks; Electric breakdown; Industries; Power system faults; Technological innovation; cascading breakdown; cascading failure; complex networks; evolution; industrial cluster innovation networks; risk-resistant capability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2010 International Conference on
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4244-8116-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2010.5719978
  • Filename
    5719978