Int. J. of Transitions and Innovation Systems   »   2011 Vol.1, No.3

 

 

Title: Evaluating efficiency and efficiency change pattern of US universities: early stage performance of university technology transfer

 

Authors: Jisun Kim; Tugrul U. Daim; Timothy R. Anderson

 

Addresses:
Department of Engineering and Technology Management, Portland State University, Portland, OR 97201, USA.
Department of Engineering and Technology Management, Portland State University, Portland, OR 97201, USA.
Department of Engineering and Technology Management, Portland State University, Portland, OR 97201, USA

 

Abstract: Universities have different research environments and attitudes toward commercialisation of their discoveries than to industries. These differences are inherent in the distinctive missions, roles, and organisational structures. Therefore, performance of technology transfer of universities depends on different organisational setting and their perceptions of usage of their knowledge or technology for commercial purpose. There have been intensive academic efforts to measure the performance of technology transfer efforts using well-known evaluation methods such as stochastic frontier efficiency and data envelopment analysis (DEA). This paper adopt similar approach with those studies using DEA, but different in two ways. First, this research focuses on early stage of university technology transfer by measuring how many disclosures a university produced given research expenditure over years using DEA and Malmquist index. It is assumed that a university with more intention to licensing will have more disclosures. Second, classifications of universities' performance in disclosing their research results are suggested to provide better understanding of their behaviour in technology transfer. The result presents 12 different groups of 28 US universities with discussion of their organisational setting.

 

Keywords: university technology transfer; UTT efficiency; UTT evaluation; technology transfer performance; efficiency patterns; data envelopment analysis; DEA; university licensing; university innovation; USA; United States; commercialisation.

 

DOI: 10.1504/IJTIS.2011.042660

 

Int. J. of Transitions and Innovation Systems, 2011 Vol.1, No.3, pp.253 - 270

 

Available online: 23 Sep 2011

 

 

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