Economics at your fingertips  

Collaboration exploitation and exploration: does a proactive search strategy matter?

Jun-You Lin ()
Additional contact information
Jun-You Lin: National Open University

Scientometrics, 2021, vol. 126, issue 10, No 6, 8295-8329

Abstract: Abstract Although one school of thought in the university-industry interactive literature is that universities learn from prior collaboration, we posit that any potential knowledge learning effects depend on the type of collaboration. Our empirical findings confirm that the use of collaboration exploitation, exploration and balancing strategy of ambidexterity all improve a university’s innovation. We also posit that proactive searching allows universities to leverage their collaboration exploitation and exploration. In contrast, when universities combine ambidexterity with a proactive search strategy, the negative consequences for university innovation become more pronounced. To test this integrative model of U-I collaboration, we leverage a unique and detailed longitudinal dataset on the 110 top U.S. research universities and the top 200 R&D performing firms to account for a large share of research papers published in the U.S. in the last 19 years. Poisson and negative binomial regression models are used to test the hypotheses in panel data of 2090 university-year cases. We find support for our theoretical model.

Keywords: University-industry collaboration; Collaboration exploitation; Collaboration exploration; Ambidexterity balance; Search strategy; University innovation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) 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:

Ordering information: This journal article can be ordered from

DOI: 10.1007/s11192-021-04136-1

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 ().

Page updated 2021-10-23
Handle: RePEc:spr:scient:v:126:y:2021:i:10:d:10.1007_s11192-021-04136-1