| As a brand-new model of organizational innovation,collaborative innovation of Industry-University-Institute has been widely used in practice and has brought a series of opportunities in recent years.However,due to the characteristics of multi-agent,long cycle and high technical difficulty in collaborative innovation,together with the superposition of various unfavorable factors,there are many risks in the collaborative innovation process of Industry-University-Institute that affect the success of collaborative innovation projects of Industry-University-Institute.As an important component of risk management,rational sharing of risks is an important guarantee for the success of project implementation.Through systematic analysis and investigation of project risks,the risk factors of collaborative innovation projects in Industry-University-Institute are summarized.And through using the principal component-relevance comprehensive analysis method,key risk factors of the project are screened out and key risk factors are identified.On the basis of risk identification,the project risk sharing process was further studied.Based on the principle of risk sharing,a preliminary sharing model of grey relation-TOPSIS on the basis of triangular fuzzy numbers is constructed to identify the individual participant's risk from risks shared by all participants.For shared risks,a shared risk allocation model is constructed based on the modified Shapley value method.Negotiation satisfaction is also introduced to optimize the risk allocation ratio.The design of the risk control mechanism is finally proposed in the thesis.This research has not only enriched the risk management theory of collaborative innovation of Industry-University-Institute,but also has provided decision-making basis and reference value for the reasonable determination of project participants' risk allocation proportion in practice and made certain contributions topromoting the rapid development of collaborative innovation. |
PDF Full Text Request