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Do co-publications with industry lead to higher levels of university technology commercialization activity?

Author

Listed:
  • Poh Kam Wong

    (National University of Singapore)

  • Annette Singh

    (National University of Singapore)

Abstract

Using the university–industry co-publications (UICP) propensity indicators developed by Tijssen (CWTS Working Paper Series, CWTS-WP-2012-009, 2009), this paper examines the impact of university–industry R&D collaboration on university technology commercialization output for leading US and Canadian universities. Our analysis suggests that UICPs do have a significant positive influence on universities’ technology commercialization outputs, after controlling for the quantity and quality of their research and for their commercialization resources. The results are robust for all three common measures of university technology commercialization: patenting (both in terms of simple patent counts and citation-weighted counts), spin-off formation, and technology licensing. To supplement the aggregate regression findings, five case studies are provided that offer further insights on the causal mechanisms involved. Implications of these findings and possible future research directions are discussed.

Suggested Citation

  • Poh Kam Wong & Annette Singh, 2013. "Do co-publications with industry lead to higher levels of university technology commercialization activity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 245-265, November.
    • Handle: RePEc:spr:scient:v:97:y:2013:i:2:d:10.1007_s11192-013-1029-1
    DOI: 10.1007/s11192-013-1029-1
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    Cited by:

    1. Tijssen, Robert J.W., 2018. "Anatomy of use-inspired researchers: From Pasteur’s Quadrant to Pasteur’s Cube model," Research Policy, Elsevier, vol. 47(9), pages 1626-1638.
    2. Robert J. W. Tijssen & Alfredo Yegros-Yegros & Jos J. Winnink, 2016. "University–industry R&D linkage metrics: validity and applicability in world university rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 677-696, November.
    3. Xia Fan & Xiaowan Yang & Zhou Yu, 2021. "Effect of basic research and applied research on the universities’ innovation capabilities: the moderating role of private research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5387-5411, July.
    4. KANG Byeongwoo & MOTOHASHI Kazuyuki, 2020. "Local Industry Influence on Commercialization of University Research by University Startups," Discussion papers 20086, Research Institute of Economy, Trade and Industry (RIETI).
    5. Stefan Houweling & Sven Wolff, 2020. "The influence of scientific prestige and peer effects on the intention to create university spin-offs," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1432-1450, October.
    6. Annamaria Demarinis Loiotile & Francesco De Nicolò & Adriana Agrimi & Loredana Bellantuono & Marianna La Rocca & Alfonso Monaco & Ester Pantaleo & Sabina Tangaro & Nicola Amoroso & Roberto Bellotti, 2022. "Best Practices in Knowledge Transfer: Insights from Top Universities," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    7. Jinyuan Ma & Fan Jiang & Liujian Gu & Xiang Zheng & Xiao Lin & Chuanyi Wang, 2020. "Patterns of the Network of Cross-Border University Research Collaboration in the Guangdong-Hong Kong-Macau Greater Bay Area," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    8. Soo Jeung Lee, 2019. "Academic entrepreneurship: exploring the effects of academic patenting activity on publication and collaboration among heterogeneous researchers in South Korea," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1993-2013, December.
    9. Azagra-Caro, Joaquín M. & Tijssen, Robert J.W. & Tur, Elena M. & Yegros-Yegros, Alfredo, 2019. "University-industry scientific production and the Great Recession," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 210-220.
    10. Xia Fan & Xiaowan Yang & Liming Chen, 2015. "Diversified resources and academic influence: patterns of university–industry collaboration in Chinese research-oriented universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 489-509, August.
    11. Giuseppe Calignano & Rune Dahl Fitjar, 2017. "Strengthening relationships in clusters: How effective is an indirect policy measure carried out in a peripheral technology district?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 139-169, July.
    12. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
    13. Hugo Confraria & Fernando Vargas, 2019. "Scientific systems in Latin America: performance, networks, and collaborations with industry," The Journal of Technology Transfer, Springer, vol. 44(3), pages 874-915, June.
    14. Dandan Li & Yehua Dennis Wei & Changhong Miao & Yangyi Wu & Weiye Xiao, 2019. "Innovation, Network Capabilities, and Sustainable Development of Regional Economies in China," Sustainability, MDPI, vol. 11(17), pages 1-21, September.
    15. Yongrae Cho & Wonjoon Kim, 2014. "Technology–industry networks in technology commercialization: evidence from Korean university patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1785-1810, March.
    16. Liang, Xinning & Liu, Anita M.M., 2018. "The evolution of government sponsored collaboration network and its impact on innovation: A bibliometric analysis in the Chinese solar PV sector," Research Policy, Elsevier, vol. 47(7), pages 1295-1308.
    17. Eunhee Sohn, 2021. "How Local Industry R&D Shapes Academic Research: Evidence from the Agricultural Biotechnology Revolution," Organization Science, INFORMS, vol. 32(3), pages 675-707, May.

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    More about this item

    Keywords

    University patenting; Spin-offs; Licensing; Publication quantity and quality; University–industry collaborative research; Co-publications;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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