• DocumentCode
    3674528
  • Title

    Evolution mechanism of R&D network based on university-industry cross-organizational knowledge integration

  • Author

    Li-rong Jian; Yu Zhang; Si-feng Liu

  • Author_Institution
    College of economics and management, Nanjing University of Aeronautics and Astronautics, 211106, China
  • fYear
    2015
  • Firstpage
    531
  • Lastpage
    538
  • Abstract
    University-industry cross-organizational knowledge integration are emerging in China, and the industrial technology research institute is one of the typical knowledge integration organization. In order to effectively break through the barriers between the different innovation subjects and to form an effective connection channel among basic research, application research and development and promotion of the market; this paper is based on the overall perspective of university-industry cross-organizational knowledge integration. To design a model framework of university-industry cross-organizational knowledge integration, which can integrate the tacit knowledge and coding knowledge among the academia, science and technology service, industry, finance and government . On the basis, it analyses the relationship between the scale-free network and university-industry cross-organizational knowledge integration network. According to the characteristics of technology R&D network, it constructs the optimization evolution model of scale-free network, and analyses the dynamic characteristics. The constructed model is applied to the Jiangsu province rail transit industry technology innovation strategic alliance technology R&D network evolution. The results of the study show that the evolution of technology R&D network obeys the power-law distributions.
  • Keywords
    "Knowledge engineering","Analytical models","Rails","Robustness"
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2015 IEEE International Conference on
  • Print_ISBN
    978-1-4799-8374-2
  • Type

    conf

  • DOI
    10.1109/GSIS.2015.7301914
  • Filename
    7301914