| Knowledge management and knowledge innovation has become a hot topic research point in academic and theory circles, and will be one of the most important theories in knowledge society that has a far-reaching impact on national economic development. In recent years, with the full implementation of the strategy for invigorating China through science and education, a new economic organization named University Science Park came into being, and flourished in a short period of time. They have played a positive role to promote regional innovation and stimulate local economic development. As an important part of the national innovation system, University Science Parks are the knowledge bases. The enterprises in the park complete the process of knowledge innovation constantly through knowledge acquisition, accumulation, dissemination, integration, and application. Therefore, University Science Parks also need knowledge management to create a culture of innovation and promote knowledge sharing and knowledge innovation. However, the theory of knowledge management is gradually maturing, but the existing researches mainly focus on a single enterprise or enterprise clusters, and rarely relate to University Science Parks which are knowledge cluster. So the research of knowledge management about University Science Parks is still a blank field.The paper focused on knowledge innovation and carried out a theory and empirical research on knowledge management of University Science Parks. On the basis of literature review and a theoretical analysis on the knowledge innovation of University Science Parks, the paper built a theoretical model to dicuss the relationships among the influencing factors of knowledge innovation, the capability of knowledge innovation and the innovation performance and proposed some specific research assumptions. Meanwhile, based on literature analysis, expert’s advice and the development practice of University Science Parks, the paper designed a set of measuring scales relate to all variables and conducted an empirical analysis to test the theoretical model by using the software tools, such as Spss and Amos. Finally, the paper summarized its conclusions and corresponded some countermeasures and suggestions on the mechanism of knowledge innovation of University Science Parks. The main contents and conclusions of the paper were as follows:(1) Basic theoretical analysis on the knowledge innovation of University Science Parks. The paper proposed that the knowledge hierarchy of University Science Parks was constituted by the technical knowledge, market knowledge and management knowledge, which interpenetrated and was combined action. As a special phenomenon of enterprise cluster, the essential meaning of University Science Parks was knowledge cluster. So the activities of knowledge innovation in University Science Parks referred to not only individual innovation, but also collaborative innovation. Through a series of dynamic cycle like socialization, externalization. combination as well as the internalization, knowledge was transformed into each other under the recessive and dominant states, and new knowledge was created constantly. On this basis, the paper constructed the knowledge innovation system of University Science Parks, which was composed of knowledge assets, micro bar, macro bar and SECI model. The knowledge innovation system of University Science Parks was also a prototype of the theoretical model.(2) Building theoretical model and variable definition. Based on the knowledge innovation system of University Science Parks, the paper constructed the theoretical model. In the model, micro bar, macro bar and the existing knowledge assets was taken as the antecedent variables to measure the influencing factors of knowledge innovation, the SECI model was taken as the mediating variables to reflect the capability of knowledge innovation and the exporting knowledge assets was taken as the outcome variables to measure innovation performance. When defining, the paper divided the influencing factors of knowledge innovation into three dimensions, like groundings domain, organizations domain as well as supportings domain; divided the capacity of knowledge innovation into two dimensions, including the level of technical knowledge innovation and the level of market knowledge innovation; divided innovation performance into four dimensions, including incubator output, innovation output, personnel training effectiveness and regional interaction effectiveness. Around the theoretical model, the paper proposed ten relational hypotheses relate to all variables, which assumed having significantly positive effect among the antecedent variable, the mediating variables and the outcome variables.(3) Empirical analysis. Based on literature analysis, expert’s advice and the development practice of University Science Parks, the paper designed a set of measuring scales relate to all variables. After examining the validity and reliability of the initial questionnaire, the paper revised the formal questionnaire. Meanwhile, the paper carried out an exploratory factor analysis and an confirmatory factor analysis by using SPSS statistical software. The analysis results showed that all test values of the large sample data reached statistical requirements, which indicated that the structure of the measuring scales was reasonable and had high reliability and validity. At the same time, the paper carried out a structural equation analysis on the knowledge innovation model of University Science Parks by using AMOS software. The analysis results showed that all statistical values of the fit indexs selected by the paper were consistent with the acceptable values and the model fit well. When analyzing the CR values and P values of each path in the model, we found that the H4hypothese couldn’t be supported, while all other hypotheses were tenable. It indicated that all variables (except H4) had significantly positive effect and the method about the division of dimension and the definition of the variables was reasonable. Further research showed that the groundings domain was the most obvious impact on the level of technical knowledge innovation, followed by the organizations domain as well as the supportings domain. As to the effect on the level of market knowledge innovation, the supportings domain was higher than the groundings domain. As to the effect produced by the level of technical knowledge innovation, innovation output was higher than incubator output. As to the effect produced by the level of market knowledge innovation, regional interaction effectiveness was higher than personnel training effectiveness.(4) Practice implications. Based on the theoretical analysis and empirical results, the paper focused on the influencing factors of knowledge innovation and made several countermeasures and suggestions on the development practice of University Science Parks.The major innovation was listed as the followings:Firstly, knowledge management theory and cluster theory was applied in the management of University Science Parks, which was a new theory perspective on knowledge innovation of University Science Parks. Based on the theory of knowledge management and enterprise clusters, the paper put forward a new concept named knowledge cluster and pointed out that the essence of enterprise cluster in University Science Parks was knowledge cluster.Secondly, the paper clarified the classification of knowledge and knowledge hierarchy of University Science Parks, discussed the internal mechanism of knowledge innovation of University Science Parks and proposed the knowledge innovation system. Based on this, the paper put forward the GOS model improved from the GEM model by Tim Padmore and Hervey Gibson. Compared with the GEM model, the GOS model proposed the concept of factor domains corresponding to that of factor pairs in GEM model. The GOS model summarized ten influencing factors on knowledge innovation of University Science Parks and categorized them into groundings domain, organizations domain and supportings domain.Thirdly, the paper specified the definition of the capability of knowledge innovation and innovation performance, closely to the actual development of University Science Parks. The paper also constructed a theoretical model to discuss the relationships among the influencing factors of knowledge innovation, capability of knowledge innovation and innovation performance. Meanwhile, the paper designed a set of measuring scales, which was proved to have good reliability and validity.Finally, by empirical analysis, the paper succeeded in examining the path relationships among the influencing factors of knowledge innovation, capability of knowledge innovation and innovation performance of University Science Parks. At the same time, the paper focused on the influencing factors of knowledge innovation of University Science Parks and put forward several countermeasures and suggestions, which provided a theoretical basis to enhance the capacity of knowledge innovation and improve innovation performance for University Science Parks. |
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