Study On Knowledge Sharing In Industry-University Cooperation

Knowledge sharing between the enterprises and universities, across the field of economy and science education, may exist many differences that may lead to conflicts of all kinds in the process of cooperation. How to improve performance of knowledge sharing in industry-university cooperation has become an urgent problem to be solved. Based on knowledge management, game and collaborative theories, using qualitative and quantitative analysis, literature search, normative analysis, and academic surveys, the dissertation has made a series of study on the key factors which companies and universities are faced with in improving knowledge sharing performance:First of all, the dissertation explores status of related theoretical research in the field of industry-university cooperation and knowledge sharing, analyses the concept, the characteristics and the categories of knowledge, and defines the concept and characteristics of knowledge sharing in industry-university cooperation. It also analyzes the external and internal drivers in industry-university cooperation and knowledge sharing and also discusses the barriers from 5 aspects of organization nature and functions, income distribution and risk control, attributes and capabilities of knowledge, the core knowledge and over-protection, and the organizational culture; analysis on collaborative interaction in industry-university cooperation will help us understand the collaborative relationships between the two sides.Secondly, the dissertation takes knowledge sharing in industry-university cooperation as an organic system by composed of four elements which are subject elements, object elements, media elements and environmental elements. On this basis, it gives an analysis about the whole working process of these elements, and builds a compound cooperating and interactive model in industry-university cooperation and knowledge sharing based on role-playing to illustrate the process and the purpose. Moreover it also explores the three processes of the knowledge sharing:selection and overflow of own knowledge, knowledge integration and the formation of common knowledge, the absorption and application of common knowledge.Thirdly, this dissertation analyzes the vector and environment of knowledge sharing in industry-university cooperation. Based on the analysis of the knowledge sharing network in industry-university cooperation and the gaming process of self evolution, the dissertation constructs a bilateral coordinating multiple dimension network between enterprises and universities, at the same time, it also elaborates the building of the relationship and information platforms of the network.This dissertation discusses how to exert an influence on knowledge practice by shaping a regulation environment so as to achieve the purpose of optimizing the cultivating, the sharing and the creation of knowledge. These regulations include:the governance of knowledge sharing and the intellectual property protection,incentive and restriction mechanisms, income distribution and risk control. At last, this dissertation analyses how to build honesty and innovation learning cultural environment, service environment of government and intermediary.Finally, the dissertation has built conceptual model of knowledge sharing in industry-university cooperation to explore the relationship between performance and the main elements, the object elements, the vector elements, and the environmental elements, and has conduct an empirical study as well. The conclusion is that the learning performance and system performance in knowledge sharing in industry-university cooperation are greatly affected by the choice and the overflow of their own knowledge, knowledge integration and the formation of common knowledge, the absorption and application of knowledge; knowledge matching and maturity affect on learning performance significantly but on system performance slightly. Among all the elements, the knowledge matching and maturity are influenced by the industry-university partnerships, shared network and platform, shared regulation, cultural and service environment, while their choice and overflow of own knowledge, knowledge integration and the formation of common knowledge and the absorption and application of common knowledge is limited by industry-university partnerships, psychological distance matching degrees, shared networks and platforms, shared regulation, cultural and service environment.