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The main purpose of this study is to explore the factors related to the performance of industry-university cooperation and determine methods for improving activation of industry-university cooperation. The data was collected by questionnaire survey mailed to the participating researcher and university professors which executed the university-industry cooperation projects. We determined cronbach Alpha Coefficient, pearson’s correlation coefficient and multiple regression analysis. According to multiple regression analysis, reflect of mutual needs and local industry construction have statistically significant relationships with general satisfaction of university. Knowledge and working ability of industry-university cooperation, activeness of industry-university cooperation activity, Local economy scale and local industry construction have statistically significant relationships with general satisfaction of industry. In relation continuity, activeness of industry-university cooperation activity and information exchange have statistically significant relationships with relation continuity of university. Knowledge and working ability of industry-university cooperation and activeness of industry-university cooperation activity have statistically significant relationships with relation continuity of industry. In outcome utilization, knowledge and working ability of industry-university cooperation, research establishment and apparatus have statistically significant relationships with outcome utlization of university. In conclusion, capability factors, cooperative factors, political factors and external environment factors affected industry-universiry cooperation. Knowledge and working ability of industry-university cooperation will be able to upgrade on general satisfaction, relation continuity and outcome utilization.

A Study on the Activation of Industry-University Cooperation -Performance of the Industry-University Cooperation-