• DocumentCode
    2545245
  • Title

    The context and innovation performance in external knowledge network: An empirical study in software industry of China

  • Author

    Li, Jiang ; Zheng, Chundong

  • Author_Institution
    Dept. of Econ., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    2049
  • Lastpage
    2053
  • Abstract
    The paper makes a study of how the knowledge network context contributes to the innovation performance of the firms in the network, and further establishes a regression analysis model, which takes objective, trust, communication, rules and risk control as independent variables and the firm´s technological innovation performance as the dependent variable. Based on first-hand data of 74 software companies in China, the analysis shows that communication and risk control exert significant positive effects on the firm´s technological innovation performance. The paper further explores, through regression analysis, the relations and effects among independent variables, finding that the maturity of rules have remarkable positive effects on the risk control of knowledge network, and that trust and rules have notable positive effects on communication effectiveness.
  • Keywords
    DP industry; innovation management; knowledge management; regression analysis; risk management; China; external knowledge network context; regression analysis model; risk control; software companies; software industry; technological innovation performance; Communication system control; Computer industry; Context; Electronic mail; Innovation management; Knowledge management; Knowledge transfer; Regression analysis; Software performance; Technological innovation; innovation performance; knowledge network; network context; technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3671-2
  • Electronic_ISBN
    978-1-4244-3672-9
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2009.5344237
  • Filename
    5344237