• DocumentCode
    2993685
  • Title

    Network position, enterprise capabilities and knowledge power

  • Author

    Dang Xing-hua ; Zhang Wei ; Hu Wen-xiu

  • Author_Institution
    Sch. of Econ. & Manage., Xi´an Univ. of Technol., Xi´an, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    1155
  • Lastpage
    1160
  • Abstract
    The dependence of node on knowledge resource in technological innovation network is the basis of knowledge power, and also the prerequisite and guarantee for the the success of enterprise cooperation innovation. In this study, reference on social network theory and management theory, use optimal scaling regression to investigate the relation on enterprise network position, enterprise capabilities and knowledge power in technological innovation network. The result show that there is a Significant positive correlation between enterprise network position and knowledge power, enterprise capabilities and knowledge power, enterprise network position and enterprise capabilities. And the enterprise capabilities has a significant mediating effect between enterprise network position and knowledge power.
  • Keywords
    innovation management; knowledge management; organisational aspects; regression analysis; enterprise capabilities; enterprise cooperation innovation; enterprise network position; knowledge power; knowledge resource; management theory; optimal scaling regression; social network theory; technological innovation network; Analytical models; Correlation; Data models; Density measurement; Knowledge engineering; Power measurement; Technological innovation; enterprise capabilities; knowledge power; network position; technological innovation network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2012 International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4673-3015-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2012.6414321
  • Filename
    6414321