Abstract
Abstract The transfer of university technology 2 to industry involves a multitude of mechanisms which can be broken down into an even larger number of activities. These mechanisms and activities include launching technology-oriented start-ups, and providing the following: collaborative research, contract research, consulting services, technology licensing, graduate education, advanced training for enterprise staff, exchange of research staff, and other forms of formal or informal information transfer. Taking Taiwan's universities as a research base, this study intends to identify the critical drivers affecting the performance of university technology transfer. The Fuzzy Delphi method, interpretive structural modeling (ISM), and the analytic network process (ANP) are employed sequentially to derive the relative importance of the various performance drivers. Human capital and institutional/cultural resources are the two most emphasized resources for the improvement of university technology transfer in Taiwan. Some policy implications are derived on the basis of these results.
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