以基於模糊多目標規劃之網路資料包絡 分析法評估科技大學產學合作之績效

Abstract

企業與大學的產學合作能夠讓國家獲得持續不斷的創新動力。但是如何評估產學合作的績效少有人探討，更少有研究同時考量企業與大學之間的知識與資源流通，分析產學合作的績效。大學與企業產學合作績效探討，若只針對大學或企業進行評估，則無法一窺全貌，因各項產學合作的投入、產出之資訊未必完整揭露，因此，使用傳統網路資料包絡法評估績效，亦有其限制。為解決前述問題，本研究定義一可分析不明確數值之模糊網絡資料包絡分析法規劃，將可以(1)以大學的觀點來評估效率；(2)分析內部生產活動，並可以了解由於生產率降低，對產出造成的影響；(3)解決評估此產學合作網路組成的投入、產出之資訊揭露不完整的問題。本研究以我國科技大學與企業間的產學合作資料進行實證研究。實證研究之結果，可作為改善產學合作的績效之依據外，也可以做為大學推動產學合作策略訂定的參考。The University-Industry cooperation between enterprises and universities enables the country to obtain continuous innovation momentum. However, how to evaluate the performance of University-Industry cooperation is rarely discussed. Few studies consider the flow of knowledge and resources between enterprises and universities to analyze the performance of University-Industry cooperation. If only make an evaluation to university or business, the research into the University-Industry cooperation performance only gives a glimpse of the picture. Because of the input or output from the University-Industry cooperation information may not be completely exposed. Therefore, there is a limit to performance using the traditional network data envelopment to evaluate the performance of University-Industry collaboration. In order to solve the above problems, this study defines a fuzzy network data envelopment analysis method that can analyze ambiguous values, which can be (1) to evaluate the efficiency from a university perspective (2) to analyze internal production activities, and to understand that due to lower productivity (3) to solve the problem of incomplete disclosure of the input and output for the University-Industry cooperation network. This study has been based on empirical research on the University-Industry cooperation between enterprises and universities. The results of empirical research can serve as a basis for improving the performance of University-Industry cooperation as well as a reference for universities to promote University-Industry cooperation.