• DocumentCode
    2185849
  • Title

    Impacts of Geographic Clusters and Network Status on Innovation Performance: An Empirical Study on Manufacturing Industry in China

  • Author

    Bai Chun hua ; Sun Lu

  • Author_Institution
    Coll. of Econ. & Manage., Northeast Forestry Univ., Harbin, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As competition becomes increasingly intensified nowadays, many a corporations have become wary of their resource limitation and choose cooperating with others. By collaborative efforts they can acquire outside knowledge and resources by which firms generates better innovation performance. As the article illuminates, external factors and inter-organizational network relationships are significant conduits via which companies are able to expeditiously acquire resources and knowledge requisite for innovation. This article utilizes a social network approach and a clustering approach to explore the relationship between geographic clustering and network status and their impact on innovation performance. The results of this study may have many managerial and practical implications.
  • Keywords
    industrial economics; innovation management; manufacturing industries; pattern clustering; regression analysis; geographic clusters; innovation performance; interorganizational network relationships; manufacturing industry; network status; resource limitation; social network; Collaboration; Costs; Educational institutions; Forestry; Industrial relations; Manufacturing industries; Resource management; Social network services; Sun; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5305215
  • Filename
    5305215