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Balancing industry collaboration and academic innovation: The contingent role of collaboration-specific attributes

Jun-You Lin

Technological Forecasting and Social Change, 2017, vol. 123, issue C, 216-228

Abstract: This study highlights the effects of industry collaboration in enhancing academic innovation output. We exploit a unique longitudinal dataset on the 110 top U.S. research universities for the last 19years. Our empirical findings confirm that the relationship between the number of industry collaborations and academic innovation is curvilinear. Moreover, we hypothesized and found that university contribution, collaboration breadth and knowledge capacity moderate the curvilinear relationship between the number of industry collaborations and academic innovation. Poisson, negative binomial and generalized negative binomial regressions are used to test the hypotheses in a panel data of 2090 university-year cases. Our results are robust to the three econometric methods, measures of variety of academic innovation and the findings support our prediction.

Keywords: Industry–university collaboration; University contribution; Collaboration breadth; Knowledge capacity; Academic innovation (search for similar items in EconPapers)
Date: 2017
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