Measuring the performance of university technology transfer using meta data approach: the case of Dutch universities

Tsvi Vinig () and David Lips

The Journal of Technology Transfer, 2015, vol. 40, issue 6, 1034-1049

Abstract: The objective o this study is to empirically measure the performance of Dutch university’s technology transfer. Dutch universities are ranked high on research output but there is scarce evidence about the commercialization of research-based innovation. We present a novel approach to measure the performance of university technology transfer using meta data analysis. We use data on research output as meta-data to estimates the potential for technology transfer, and data about the actual technology transfer projects as measured by patents, license agreements and spin-offs. We tested our model for Dutch universities and validated it using data from private and state universities in the US. Our results suggest that most Dutch research universities have poor performance while technical Dutch universities and academic medical center perform well. We pilot-tested our model for selected US universities and the result confirm the validity of our approach. Our approach contributes to the literature on university technology transfer by adding a novel approach for measuring performance of university technology transfer while taking into account university research as the potential for technology transfer. Copyright The Author(s) 2015

Keywords: Technology transfer; Commercialization; TTO; Valorization; Entrepreneurship; L32; L24; O31 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10961-014-9389-0 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jtecht:v:40:y:2015:i:6:p:1034-1049

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/10961/PS2

DOI: 10.1007/s10961-014-9389-0

Access Statistics for this article

The Journal of Technology Transfer is currently edited by Albert N. Link, Donald S. Siegel, Barry Bozeman and Simon Mosey

More articles in The Journal of Technology Transfer from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().