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How does collaboration between universities and R&D firms influence performance?

Jun-You Lin (Department of Management and Information, National Open University, New Taipei City, Taiwan)

Management Decision

ISSN: 0025-1747

Article publication date: 29 November 2018

Issue publication date: 16 October 2019

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Abstract

Purpose

How does university-firm collaboration affect the performance of both universities and firms? The purpose of this paper is to evaluate university-firm collaborations aimed at expanding the treatment effects of collaboration ambition on university academic performance as well as collaboration ambition focused on the firm’s production of innovation and financial performance for the top 110 US universities and the top 200 US R&D performing firms.

Design/methodology/approach

“Two studies, based on the three archival data sets (National Bureau of Economic Research-Rensselaer Scientific Papers Database and the Harvard Dataverse Network (DVN) US Patent Citations database and Compustat database), are undertaken in the top 110 US universities and the top 200 US R&D performing firms.” The study introduces a theoretical model that explicitly addresses collaboration diversity, number of collaborations, knowledge stock and the endogeneity problem that is generated by self-selection of collaboration ambition in university and firm’s performance.

Findings

The results suggest that the effects of adopting proactive collaboration decision on academic performance are insignificant in the firm subsample. However, more interestingly, the authors find supporting evidence of the negative impact of collaboration on university groups. The authors also find that collaboration diversity, knowledge stock and collaboration ambition lead to stronger firm performance but the number of collaborations is smaller on firm performance. Furthermore, the authors find that collaboration ambition moderates the positive effect of the number of collaborations on firm performance.

Practical implications

University-firm collaboration is a multifaceted relationship, suggesting that the empirical analysis can be interpreted through the university and the firm view to enhance the understanding of the collaboration for performance creation. This study articulates the positive role of collaboration diversity, knowledge stock and collaboration ambition and the negative role of the number of collaborations on university-firm collaboration in terms of university and firm performance. Moreover, proactive collaboration ambition has the positive effect of a higher number of collaborations on firm performance. The authors conclude that policy should refrain from overly focusing on collaboration diversity, number of collaborations, knowledge stock and collaboration ambition, and the authors consider the interactions between the number of collaborations and collaboration ambition on university-firm collaboration when discussing their effects on mutual performance.

Originality/value

This study demonstrates the effects of university-firm collaboration on academic performance. In addition, the authors discuss the factors that influence collaboration to help the firm to increase its innovation and financial performance. Therefore, it would be interesting to see simultaneously how university-firm collaboration affects the performance of both partners.

Keywords

Acknowledgements

The author would like to thank the Editor-in-Chief of Management Decision, Professor Patrick James Murphy and the three anonymous reviewers whose constructive criticism led to significant improvements in the paper. Financial support from the Research Institute for the Humanities and Social Science, Ministry of Science and Technology, R.O.C. (MOST 105-2420-H-002-016-MY3-Y10619) is highly appreciated.

Citation

Lin, J.-Y. (2019), "How does collaboration between universities and R&D firms influence performance?", Management Decision, Vol. 57 No. 9, pp. 2436-2476. https://doi.org/10.1108/MD-07-2016-0497

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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