| There are increased pressures on firms to continually advance knowledge and new technologies in order to ensure long-term prosperity and survival. While past practices favored internal initiatives, it is increasingly more difficult for firms to rely exclusively on in-house activities due to limited expertise and resources. There is a growing world-wide trend toward greater collaboration between industry and university. As a result of the complementary nature of industry-university relationships, some of these collaborative activities have been instrumental in helping firms advance knowledge and propel new technologies in many areas. It is of value to society to find how industry-university collaboration performance is improved. This dissertation reviews past literature, develops a conceptual model involving IUC performance, process and element, and process and element are the factor effecting IUC performance. The process includes mode and behavior. The element includes absorptive capacity, IUC relationships, technical ambiguity, and circumstance. And develops measures to test hypotheses in the model, and analyses a Chinese typical case according it.In this dissertation, I use questionnaire as research instrument during the data collecting. We send out about 250 questionnaires to firms and get back 196, and 162 questionnaires is valid. Sample firms are related to industry of electron, software, pharmacy, machinery, and etc. During the data processing, we mainly use explorative Structural Equation Modelling, ANOVA, factor analysis, and etc. to verify hypotheses in the model. After quantitative analyses and theoretical exploration, some important results and conclusions are as below:First, the effect of process on IUC performance is greater than element, and process is directly affect IUC performance, while element of is indirectly IUC performance through process. Second, in element, absorptive capacity and IUC relationships are more important than circumstance and technical ambiguity. |
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