• DocumentCode
    3345601
  • Title

    The Empirical Impact of Internal Knowledge Structure on the Endogenous Industrial Clusters Innovation

  • Author

    Wu Xianhua ; Ma, Tinghuai ; Tian, Ye

  • Author_Institution
    Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    721
  • Lastpage
    725
  • Abstract
    This paper, by using social network analysis and statistical methods, mainly introduces the systematic idea, studies the internal structure of cluster knowledge system, and distinguishes several different cognitive roles in cluster knowledge system. The empirical results show that, although the knowledge in the air "spread evenly", it is mainly among the cores with strong absorptive capacity. The technology gatekeepers are the largest roles of knowledge acquisition, creation, and the other roles have relatively closed cognitive. It is necessary to enhance the absorptive capacity of enterprises in clusters to improve the innovation and learning ability of clusters.
  • Keywords
    knowledge management; pattern clustering; statistical analysis; cluster knowledge system; endogenous industrial clusters; innovation; internal knowledge structure; social network analysis; statistical methods; Cities and towns; Computer industry; Computer networks; Genetics; Information science; Knowledge based systems; Marketing and sales; Paper technology; Social network services; Technological innovation; Absorptive capacity of knowledge; Endogenous industrial clusters; Innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.189
  • Filename
    5402812