Collaboration exploitation and exploration: does a proactive search strategy matter?
Jun-You Lin ()
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Jun-You Lin: National Open University
Scientometrics, 2021, vol. 126, issue 10, No 6, 8295-8329
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)
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