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Heterogeneity in industry–university R&D collaboration and firm innovative performance

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Abstract

University–industry R&D collaboration is a key driver of participating firms’ technological capability. However, there is still debate on the determinants of a firm’s innovation performance, especially in relation to the characteristics of collaboration and organizational slack. We lay the foundation for our theoretical framework by establishing testable hypotheses on the effects of the characteristics of university–industry collaboration and organizational slack on the innovation performance of participating firms. Based on a panel data of 2914 firm-year cases for the top 200 U.S. R&D firms, estimates obtained from quantitative techniques produce consistent results and support our predictions. Collaboration breadth, network centrality, unabsorbed slack, collaboration experience and collaboration proactiveness are associated with innovation performance. Moreover, a firm’s higher absorbed slack exerts a negative influence on innovation performance. The managerial implications and future research directions are discussed.

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Notes

  1. Oliver (1990) summarizes the motivations of R&D collaborations as six contingencies: necessity, asymmetry, reciprocity, efficiency, stability, and legitimacy.

  2. Numerous previous studies have examined why firms participate in UICs. See Ankrah and AL-Tabbaa (2015) for a review.

  3. Though this sampling strategy has mitigated the problem of selection bias to some degree, it cannot be entirely ruled out. For example, firms with more R&D can select a more intensive academic linkage. Thus, we should interpret the estimated positive effects of academic linkage on firm innovations, if any, in a more conservative manner.

  4. There are 2,836,700 scientific papers written by one or more of the top 110 US universities and 238,277 by the top 200 US R&D firms.

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Funding was provided by Ministry of Science and Technology, Taiwan (Grant No. MOST 107-2410-H-180-009).

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Lin, JY., Yang, CH. Heterogeneity in industry–university R&D collaboration and firm innovative performance. Scientometrics 124, 1–25 (2020). https://doi.org/10.1007/s11192-020-03436-2

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