• DocumentCode
    483250
  • Title

    Research on the Technological Innovation Diffusion Based on the Self-organization Theory: The Case of China Communication Industry

  • Author

    Li, Rui ; Ju, Xiaofeng

  • Author_Institution
    Sch. of Econ. & Manage., Harbin Inst. of Technol., Harbin
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    Technological innovation is a complex system. There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability, the multiplicity (branch), the sudden change and stochastic ldquothe fluctuationrdquo and constructs the self-organization model of technological innovation then carries on the confirmation with statistical software to the model fitting degree and the model parameters, using the data of China communication market, obtains the quite satisfied result. This model has realized the integration of the natural sciences and the social sciences, and has more in-depth understanding about the achieve mechanism and the evolutionary process of the technological innovation and diffusion.
  • Keywords
    commerce; evolutionary computation; innovation management; mathematics computing; statistical analysis; technological forecasting; China communication industry; complex system; evolutionary process; model fitting degree; model parameters; self-organization theory; statistical software; system theory; technological innovation diffusion; technological innovation system; Communication industry; Data mining; Equations; Fluctuations; Government; Innovation management; Knowledge management; Steady-state; Technological innovation; Technology management; diffusion model; self-organization theory; technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.88
  • Filename
    4771964