The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China
Yutao Sun,
Chen Zhang () and
Robert A. W. Kok
Additional contact information
Yutao Sun: Dalian University of Technology
Chen Zhang: Dalian University of Technology
Robert A. W. Kok: Radboud University
Scientometrics, 2020, vol. 122, issue 2, No 12, 1003-1026
Abstract:
Abstract This paper aims to determine whether and how quality of research outcome mediates the relationship between university research collaboration and technology transfer. Based on the resource-based view, we propose and test several hypotheses on the relationships between research collaboration, outcome quality and technology transfer using Chinese universities’ granted patents in USPTO. The findings suggest that the size of university research collaboration has an inverted U-shaped influence on their outcome quality and that university collaboration with firms—compared with other academic institutions—has a positive influence on outcome quality. In turn, the quality of research outcome has a positive influence on the technology transfer. Furthermore, there is a partial mediating role of outcome quality in the relationships between university research collaboration and technology transfer. The size and type of university research collaboration affect technology transfer indirectly; through outcome quality. Specifically, outcome quality has a mediation effect on the relationship between collaboration size and technology transfer when collaboration size is not too large. Outcome quality has a partial mediation effect on the relationship between collaboration type (collaboration with firms) and technology transfer. Our findings provide new insights into the process of university technology transfer taking into account the idiosyncrasies of institutional environments in emerging countries such as China.
Keywords: Research collaboration; Technology transfer; Outcome quality; Patent reassignment; University patents (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-019-03330-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:scient:v:122:y:2020:i:2:d:10.1007_s11192-019-03330-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-019-03330-6
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().