A mechanism for sharing best practices between university technology transfer offices

Christle De Beer, Giustina Secundo, Giuseppina Passiante and Cornelius S. L. Schutte

Knowledge Management Research & Practice, 2017, vol. 15, issue 4, 523-532

Abstract: Research has shown that university technology transfer offices (TTOs) learn through experimentation and failure, and by sharing these experiences with others. There are many barriers to successfully sharing the best practice between TTOs. The Maturity Model (MM) created by Secundo et al. (Meas Bus Excell, 20:42–54, 2016) provides a means by which the performance of a TTO can be better understood to allow for effective sharing of best practices. The aim of this study is to improve and validate the MM to formalize a mechanism through which best practices can be identified and shared between TTOs. This was accomplished by testing the MM in 54 TTOs across Europe and the United Kingdom. Findings regard several improvements of the intangible indicators and the maturity levels of the MM. This research improves the rigor of the MM and formalizes its application as a mechanism for sharing best practices through the Improved MM.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1057/s41275-017-0077-3 (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:taf:tkmrxx:v:15:y:2017:i:4:p:523-532

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1057/s41275-017-0077-3

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().