• DocumentCode
    2914380
  • Title

    Multi-factors energy model and demonstration of innovation technology adoption

  • Author

    Zhang, Biao ; Xiao, Renbin

  • Author_Institution
    Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    1139
  • Lastpage
    1144
  • Abstract
    Innovation technology adoption is a kind of decision process of technology innovation diffusion based on heterogeneous adopter under specific situation. The concept of "enterprise energy" is proposed to name the dynamic factors which have impact on innovation technology adoption, multi-factors energy model of adoption as well as the evaluation system is also established. With BP (back propagation) algorithm, quantitative analysis of examples in gene chip manufacture demonstrate the proposed energy model can solve the problem of omitting and weighting of dynamic factors in decision evaluation.
  • Keywords
    backpropagation; decision making; financial management; innovation management; back propagation algorithm; decision process; enterprise energy; gene chip manufacture; innovation technology adoption; multi-factors energy model; quantitative analysis; Design automation; Innovation management; Intelligent systems; Kernel; Kinetic energy; Power generation economics; Project management; Resource management; Technological innovation; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443450
  • Filename
    4443450