Affected Factors Of The Effectiveness About The Industry-university-research Collaborative Innovation Mechanism From The Perspective Of Utility Theory

Industry-university-research collaborative innovation is an important way to give full play of knowledge accumulation advantage of universities and research institutes, to enhance the technological innovation capability of enterprises. Our Industry-university-research collaborative innovation, in the case of government attaching importance to and all parties actively participating in, is still difficult to build a long-term mechanism for Industry-university-research collaborative innovation. In this context, this paper focuses on the basic problems of Industry-university-research collaborative innovation:(A) the impact of industry-university-research collaborative innovation output on innovation subject’s strategy selection.(B) whether the use of utility theory can explain the effectiveness of Industry-university-research collaborative innovation mechanism.Based on the utility theory perspective, the use of evolutionary game, matlab numerical simulation and system dynamics method, firstly starting from the literature review and practical background, based on the output perspective of industry-university-research collaborative innovation, construct innovation output indicators in three areas including knowledge production, personnel training and economic effectiveness; then, use the evolutionary game method to build asymmetric hawk and dove game model between business and academic research side, and analyze its evolutionary stable strategy, and validate results of the game through Matlab numerical simulation; finally, in the stage of analyzing the effectiveness relationship between the utility theory and industry-university-research collaborative innovation mechanism, introduce the system dynamics theory and methods, construct system dynamics model including the "each subject in industry-university-research collaborative innovation-innovative output subsystem-industry-university-research collaborative innovation output subsystem-industry-university-research collaborative innovation tacit knowledge transfer subsystem-industry-university-research collaborative innovation mechanism effectiveness system”, and validate the validity of the model by Vensim PLE simulation platform.The main innovation conclusions of this paper include:(1) The more industry-university-research collaborative innovation subject need of each utility innovation output, the higher the proportions of industry-university-research collaborative innovation subject choosing collaborative innovation strategy.(2) With the reputation and punishment mechanism, the proportion of the subject choosing collaborative innovation strategies increases.(3) If the difference between the subjective and objective effectiveness of innovators is less, the collaborative innovation mechanism is more effective.(4)The matching degree between supply and demand of tacit knowledge and the innovation subject relational embeddedness mechanism have a significant positive effect on the industry-university-research collaborative innovation tacit knowledge transfer subsystem and the industry-university-research collaborative innovation mechanism effectiveness.(5) The matching degree of innovation subject has a significant positive impact on stability and effectiveness of industry-university-research collaborative innovation mechanism.This paper introduces the research methods of evolutionary game theory, Matlab numerical simulation, system dynamics based on complex systems modeling and so on; in terms of research contents, we attempt to introduce the utility theory and explain the effectiveness of industry-university-research collaborative innovation mechanism, and provide a theoretical explanation of building industry-university-research collaborative innovation long-term mechanism.