• DocumentCode
    1817487
  • Title

    Exploring the nonlinear interaction effects of technology and market on firm performance in emerging biotechnology industry

  • Author

    Lucheng Huang ; Kangkang Wang ; Zheng Qiao ; Zhun Huang

  • Author_Institution
    Econ. & Manage. Sch., Beijing Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    July 28 2013-Aug. 1 2013
  • Firstpage
    2711
  • Lastpage
    2716
  • Abstract
    Technology pull and market push are two key factors driving the emerging industry to success. Although there are some precious studies focusing on the interaction effects of technology and market on firm performance, most of which are conceptual, the empirical researches are few and almost linear. So the nonlinear empirical results are lack, especially in emerging industry. The objective of this study is to explore the nonlinear effects of technology and market on firm performance in the emerging biotechnology industry by using BP neural network. Based on a sample of 43 global top sales biotechnology firms, the results show that the interaction effects of technology and market actually affect firm performance in a nonlinear way, which is in the form of a U shape, i.e., the interaction effect is detrimental to firm performance until a threshold level is reached and then the effect becomes contributory thereafter. The paper concludes with a discussion of theoretical and practical implications of the finding.
  • Keywords
    biotechnology; neural nets; nonlinear distortion; nonlinear network analysis; BP neural network; biotechnology industry; firm performance; market push; nonlinear effects; nonlinear interaction; technology pull; Biotechnology; Companies; Industries; Neural networks; Technological innovation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology Management in the IT-Driven Services (PICMET), 2013 Proceedings of PICMET '13:
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • Filename
    6641579