EconPapers    
Economics at your fingertips  
 

Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China

Ben Zhang and Xiaohong Wang ()
Additional contact information
Ben Zhang: Harbin Institute of Technology
Xiaohong Wang: Harbin Institute of Technology

Scientometrics, 2017, vol. 113, issue 1, 257-277

Abstract: Abstract The influence of university-industry collaboration on research performance and the moderating effect of social capital were empirically examined using a dataset of 804 engineering academics of Harbin institute of technology, with social capital in terms of network ties and tie strength. It was found that the intensity of university-industry collaboration had a negative effect on academics’ research performance (h-index), and tie strength had its positive moderation effect, which did not support the moderation effect of network ties. It is therefore concluded that university administrators should not make policies to encourage researchers to seek collaborations with industry without due consideration of research performance, while researchers with high strength of relationships should be encouraged to participate in university-industry collaboration.

Keywords: University-industry collaboration; Research performance; Social capital; Network ties; Tie strength (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2464-1 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:113:y:2017:i:1:d:10.1007_s11192-017-2464-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

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 ().

 
Page updated 2019-05-21
Handle: RePEc:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2464-1