IDEAS home Printed from https://ideas.repec.org/a/kap/jtecht/v47y2022i5d10.1007_s10961-021-09881-2.html
   My bibliography  Save this article

The role of the academic relations of former graduate students in university-firm collaboration

Author

Listed:
  • Daniel Gama e Colombo

    (Institute of Economics of the University of Campinas)

  • Renato de Castro Garcia

    (Institute of Economics of the University of Campinas)

Abstract

This paper investigates the contribution of the personal ties of former graduate students to university-firm collaboration. Using the proximity framework and the underlying assumptions of social proximity, we argue that the academic relations these students developed through graduate education can reduce the social distance between universities and firms, thus favoring collaborative research and technology transfer. Based on this argument, two hypotheses are presented to explain how the hiring of a former graduate student is associated with firms’ collaboration decisions, constituting a driver of technology transfer. We empirically test these hypotheses with a new empirical strategy and use a novel and comprehensive dataset on university-industry linkages in Brazil. We find that approximately 40% of the collaborations were developed by firms with ‘socially proximate’ research groups, i.e., those hosted by universities where one or more firm employees attended graduate education. The estimates suggest that if a research group is socially proximate to a firm, the latter is more likely to choose this research group to partner with (relative odds approximately 2.5 times higher) and to engage in collaboration with (odds ratio more than 8 times higher). These results suggest new approaches for policy support to these partnerships, using academic relations as a lever to new collaborative projects.

Suggested Citation

  • Daniel Gama e Colombo & Renato de Castro Garcia, 2022. "The role of the academic relations of former graduate students in university-firm collaboration," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1524-1548, October.
  • Handle: RePEc:kap:jtecht:v:47:y:2022:i:5:d:10.1007_s10961-021-09881-2
    DOI: 10.1007/s10961-021-09881-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10961-021-09881-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10961-021-09881-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lorenzo Cassi & Anne Plunket, 2014. "Proximity, network formation and inventive performance: in search of the proximity paradox," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 395-422, September.
    2. Valentina Tartari & Ammon Salter & Pablo D'Este, 2012. "Crossing the Rubicon: exploring the factors that shape academics' perceptions of the barriers to working with industry," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 36(3), pages 655-677.
    3. Terry Long, B.Bridget, 2004. "How have college decisions changed over time? An application of the conditional logistic choice model," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 271-296.
    4. Benjamin T. Skinner, 2019. "Choosing College in the 2000s: An Updated Analysis Using the Conditional Logistic Choice Model," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(2), pages 153-183, March.
    5. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    6. Bodas Freitas, Isabel Maria & Marques, Rosane Argou & Silva, Evando Mirra de Paula e, 2013. "University–industry collaboration and innovation in emergent and mature industries in new industrialized countries," Research Policy, Elsevier, vol. 42(2), pages 443-453.
    7. Susanne Hinzmann & Uwe Cantner & Holger Graf, 2019. "The role of geographical proximity for project performance: evidence from the German Leading-Edge Cluster Competition," The Journal of Technology Transfer, Springer, vol. 44(6), pages 1744-1783, December.
    8. Rune Dahl Fitjar & Martin Gjelsvik, 2018. "Why do firms collaborate with local universities?," Regional Studies, Taylor & Francis Journals, vol. 52(11), pages 1525-1536, November.
    9. Tom Broekel & Matt� Hartog, 2013. "Explaining the Structure of Inter-Organizational Networks using Exponential Random Graph Models," Industry and Innovation, Taylor & Francis Journals, vol. 20(3), pages 277-295, April.
    10. Østergaard, Christian R., 2009. "Knowledge flows through social networks in a cluster: Comparing university and industry links," Structural Change and Economic Dynamics, Elsevier, vol. 20(3), pages 196-210, September.
    11. Giuliani, Elisa & Bell, Martin, 2005. "The micro-determinants of meso-level learning and innovation: evidence from a Chilean wine cluster," Research Policy, Elsevier, vol. 34(1), pages 47-68, February.
    12. Keld Laursen & Toke Reichstein & Ammon Salter, 2011. "Exploring the Effect of Geographical Proximity and University Quality on University-Industry Collaboration in the United Kingdom," Regional Studies, Taylor & Francis Journals, vol. 45(4), pages 507-523.
    13. Balconi, Margherita & Laboranti, Andrea, 2006. "University-industry interactions in applied research: The case of microelectronics," Research Policy, Elsevier, vol. 35(10), pages 1616-1630, December.
    14. Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    15. Alessandro Muscio, 2010. "What drives the university use of technology transfer offices? Evidence from Italy," The Journal of Technology Transfer, Springer, vol. 35(2), pages 181-202, April.
    16. Mark Granovetter, 2005. "The Impact of Social Structure on Economic Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 33-50, Winter.
    17. Alessandro Muscio & Andrea Pozzali, 2013. "The effects of cognitive distance in university-industry collaborations: some evidence from Italian universities," The Journal of Technology Transfer, Springer, vol. 38(4), pages 486-508, August.
    18. Franz Huber, 2012. "On the Role and Interrelationship of Spatial, Social and Cognitive Proximity: Personal Knowledge Relationships of R&D Workers in the Cambridge Information Technology Cluster," Regional Studies, Taylor & Francis Journals, vol. 46(9), pages 1169-1182, October.
    19. Barnes, Tina & Pashby, Ian & Gibbons, Anne, 2002. "Effective University - Industry Interaction:: A Multi-case Evaluation of Collaborative R&D Projects," European Management Journal, Elsevier, vol. 20(3), pages 272-285, June.
    20. Roach, Michael & Sauermann, Henry, 2010. "A taste for science? PhD scientists' academic orientation and self-selection into research careers in industry," Research Policy, Elsevier, vol. 39(3), pages 422-434, April.
    21. Ina Drejer & Christian Richter Østergaard, 2017. "Exploring determinants of firms’ collaboration with specific universities: employee-driven relations and geographical proximity," Regional Studies, Taylor & Francis Journals, vol. 51(8), pages 1192-1205, August.
    22. Roderik Ponds & Frank Van Oort & Koen Frenken, 2007. "The geographical and institutional proximity of research collaboration," Papers in Regional Science, Wiley Blackwell, vol. 86(3), pages 423-443, August.
    23. Pablo D'Este & Frederick Guy & Simona Iammarino, 2013. "Shaping the formation of university--industry research collaborations: what type of proximity does really matter?," Journal of Economic Geography, Oxford University Press, vol. 13(4), pages 537-558, July.
    24. De Fuentes, Claudia & Dutrénit, Gabriela, 2012. "Best channels of academia–industry interaction for long-term benefit," Research Policy, Elsevier, vol. 41(9), pages 1666-1682.
    25. Tom Broekel, 2015. "The Co-evolution of Proximities - A Network Level Study," Regional Studies, Taylor & Francis Journals, vol. 49(6), pages 921-935, June.
    26. Meric S. Gertler, 2003. "Tacit knowledge and the economic geography of context, or The undefinable tacitness of being (there)," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 75-99, January.
    27. Mansfield, Edwin, 1995. "Academic Research Underlying Industrial Innovations:," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 55-65, February.
    28. Alessandro Muscio, 2013. "University-industry linkages: What are the determinants of distance in collaborations?," Papers in Regional Science, Wiley Blackwell, vol. 92(4), pages 715-739, November.
    29. Yasunori Baba & Masaru Yarime & Naohiro Shichijo, 2010. "Sources Of Success In Advanced Materials Innovation: The Role Of "Core Researchers" In University–Industry Collaboration In Japan," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 201-219.
    30. Maietta, Ornella Wanda, 2015. "Determinants of university–firm R&D collaboration and its impact on innovation: A perspective from a low-tech industry," Research Policy, Elsevier, vol. 44(7), pages 1341-1359.
    31. Hong, Wei & Su, Yu-Sung, 2013. "The effect of institutional proximity in non-local university–industry collaborations: An analysis based on Chinese patent data," Research Policy, Elsevier, vol. 42(2), pages 454-464.
    32. Barry Bozeman & Daniel Fay & Catherine Slade, 2013. "Research collaboration in universities and academic entrepreneurship: the-state-of-the-art," The Journal of Technology Transfer, Springer, vol. 38(1), pages 1-67, February.
    33. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    34. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 739-756, September.
    35. Perkmann, Markus & Salandra, Rossella & Tartari, Valentina & McKelvey, Maureen & Hughes, Alan, 2021. "Academic engagement: A review of the literature 2011-2019," Research Policy, Elsevier, vol. 50(1).
    36. Robert Rybnicek & Roland Königsgruber, 2019. "What makes industry–university collaboration succeed? A systematic review of the literature," Journal of Business Economics, Springer, vol. 89(2), pages 221-250, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Utku Ali Rıza Alpaydın & Rune Dahl Fitjar, 2021. "Proximity across the distant worlds of university–industry collaborations," Papers in Regional Science, Wiley Blackwell, vol. 100(3), pages 689-711, June.
    2. Villani, Elisa & Rasmussen, Einar & Grimaldi, Rosa, 2017. "How intermediary organizations facilitate university–industry technology transfer: A proximity approach," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 86-102.
    3. Yongli Tang & Kazuyuki Motohashi & Xinyue Hu & Angeles Montoro-Sanchez, 2020. "University-industry interaction and product innovation performance of Guangdong manufacturing firms: the roles of regional proximity and research quality of universities," The Journal of Technology Transfer, Springer, vol. 45(2), pages 578-618, April.
    4. Massimo G. Colombo & Massimiliano Guerini & Cristina Rossi-Lamastra & Andrea Bonaccorsi, 2022. "The “first match” between high-tech entrepreneurial ventures and universities: the role of founders’ social ties," The Journal of Technology Transfer, Springer, vol. 47(1), pages 270-306, February.
    5. Nasirov, Shukhrat & Joshi, Amol M., 2023. "Minding the communications gap: How can universities signal the availability and value of their scientific knowledge to commercial organizations?," Research Policy, Elsevier, vol. 52(9).
    6. Riccardo Crescenzi & Andrea Filippetti & Simona Iammarino, 2017. "Academic inventors: collaboration and proximity with industry," The Journal of Technology Transfer, Springer, vol. 42(4), pages 730-762, August.
    7. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    8. Ana Fernández & Esther Ferrándiz & M. Dolores León, 2021. "Are organizational and economic proximity driving factors of scientific collaboration? Evidence from Spanish universities, 2001–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 579-602, January.
    9. Ankrah, Samuel & AL-Tabbaa, Omar, 2015. "Universities–industry collaboration: A systematic review," Scandinavian Journal of Management, Elsevier, vol. 31(3), pages 387-408.
    10. Pierre-Alexandre Balland & Ron Boschma & Koen Frenken, 2015. "Proximity and Innovation: From Statics to Dynamics," Regional Studies, Taylor & Francis Journals, vol. 49(6), pages 907-920, June.
    11. Robert Huggins & Daniel Prokop & Piers Thompson, 2020. "Universities and open innovation: the determinants of network centrality," The Journal of Technology Transfer, Springer, vol. 45(3), pages 718-757, June.
    12. Tom Broekel & Wladimir Mueller, 2018. "Critical links in knowledge networks – What about proximities and gatekeeper organisations?," Industry and Innovation, Taylor & Francis Journals, vol. 25(10), pages 919-939, November.
    13. Maria Tsouri, 2022. "Knowledge networks and strong tie creation: the role of relative network position," Journal of Geographical Systems, Springer, vol. 24(1), pages 95-114, January.
    14. Grzegorz Micek, 2019. "Geographical Proximity Paradox Revisited: The Case of IT Service SMEs in Poland," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    15. Atta-Owusu, Kwadwo & Fitjar, Rune Dahl & Rodríguez-Pose, Andrés, 2021. "What drives university-industry collaboration? Research excellence or firm collaboration strategy?," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    16. Christian Omobhude & Shih-Hsin Chen, 2019. "The Roles and Measurements of Proximity in Sustained Technology Development: A Literature Review," Sustainability, MDPI, vol. 11(1), pages 1-30, January.
    17. Robert Huggins & Daniel Prokop, 2017. "Network structure and regional innovation: A study of university–industry ties," Urban Studies, Urban Studies Journal Limited, vol. 54(4), pages 931-952, March.
    18. Anna Giunta & Filippo M. Pericoli & Eleonora Pierucci, 2016. "University–Industry collaboration in the biopharmaceuticals: the Italian case," The Journal of Technology Transfer, Springer, vol. 41(4), pages 818-840, August.
    19. Cristian Barra & Ornella Wanda Maietta & Roberto Zotti, 2017. "First, Second and Third Tier Universities: Academic Excellence, Local Knowledge Spillovers and Innovation in Europe," CSEF Working Papers 468, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    20. Luigi Aldieri & Gennaro Guida & Maxim Kotsemir & Concetto Paolo Vinci, 2019. "An investigation of impact of research collaboration on academic performance in Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2003-2040, July.

    More about this item

    Keywords

    University-firm collaborations; Graduate education; Social proximity; Conditional logit;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jtecht:v:47:y:2022:i:5:d:10.1007_s10961-021-09881-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.