Skip to main content
Log in

Governance mode choice in collaborative Ph.D. projects

  • Published:
The Journal of Technology Transfer Aims and scope Submit manuscript

Abstract

Joint Ph.D. projects are a prominent form of research collaboration, connecting universities to firms and public research organizations. When entering into such collaborations, partners need to make choices regarding a project’s governance. This paper investigates how a university and its partners govern such projects, including decision-making, daily management and disclosure policies. Earlier studies show that shared governance modes have had a higher success rate than centralized governance modes. Nevertheless, more than two thirds of the 191 joint Ph.D. projects we investigated opted for centralized rather than shared governance. Our findings show that: (1) geographical and/or cognitive distance render the adoption of a shared governance mode less likely; (2) the partner controlling critical resources tends to centralize governance, and (3) partnering firms are more likely to put restrictions on publication output than public research organizations. We therefore recommend that universities and their partners take these aspects into account when selecting such projects.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. Note that our theoretical framework reasons from ‘proximity’, whereas our hypothesis and relevant variables are consistently defined in terms of ‘distance’, being the opposite of proximity.

  2. Departments concern Applied Physics, Chemical Engineering, Electrical Engineering, Mathematics and Computer Sciences, Mechanical Engineering, Built Environment, Biomedical Engineering, Industrial Design, Industrial Engineering and Innovation Sciences. The latter four departments where categorized in a single category Management/Design in the regression analysis.

  3. In terms of context, it might be good to explain here that in The Netherlands, Ph.D. candidates typically have an employment contract with the university and receive a regular salary. In that sense, involving them in a collaboration with a firm should probably not be seen a form of exploitation of these individuals.

  4. Here, it is important to stress that in The Netherlands, most of these institutes rely heavily on contract research and other sources of commercial funding, and have very limited public funding, making them quite comparable to firms in many respects. We do realize this situation is notably different in most other countries.

  5. If we assume the response rate for all groups is identical to what we had for Ph.D. candidates (47 %), and that non-response is independent between respondents, then the response rate for complete cases would be .47*.47*.47 = .104 only, which would have left us with only 42 cases. Moreover, it is likely that the identification and response rate among supervisors at both university and partner are lower than those for Ph.D. candidates, which would result in even fewer cases.

  6. It also implied that we could not ask the university supervisor and the university’s partner directly about the levels of trust, which—as we assume—affects the governance mode choice. Neither can one expect the respondent (the Ph.D. candidate) to be able to judge how trustful the relationship was between the collaborating partners. Instead, as explained in the theory section. We derive hypotheses based on the underlying theoretical arguments in the proximity literature.

References

  • Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402.

    Article  Google Scholar 

  • Autant-Bernard, C., Billand, P., Frachisse, D., & Massard, N. (2007). Social distance versus spatial distance in R&D cooperation: Empirical evidence from European collaboration choices in micro and nanotechnologies. Papers in Regional Science, 86(3), 495–519.

    Article  Google Scholar 

  • Balland, P.-A. (2012). Proximity and the evolution of collaboration networks: evidence from research and development projects within the global navigation satellite system (GNSS) industry. Regional Studies, 46(6), 741–756.

    Article  Google Scholar 

  • Boschma, R. A. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61–74.

    Article  Google Scholar 

  • Bouba-Olga, O., Ferru, M., & Pépin, D. (2012). Exploring spatial features of science-industry partnerships: A study on French data. Papers in Regional Science, 91(2), 355–375.

    Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  • Cummings, J. N., & Kiesler, S. (2005). Collaborative research across disciplinary and organizational boundaries. Social Studies of Science, 35(5), 703–722.

    Article  Google Scholar 

  • Dasgupta, P., & David, P. (1994). Towards a new economics of science. Research Policy, 23(5), 487–552.

    Article  Google Scholar 

  • Desrochers, P. (2001). Geographical proximity and the transmission of tacit knowledge. The Review of Austrian Economics, 14(1), 25–46.

    Article  Google Scholar 

  • D’Este, P., Guy, F., & Iammarino, S. (2013). Shaping the formation of university-industry research collaborations: what type of proximity does really matter? Journal of Economic Geography, 13(4), 537–558.

    Article  Google Scholar 

  • Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From National Systems and “Mode 2” to a Triple Helix of university–industry–government relations. Research Policy, 29(2), 109–123.

    Article  Google Scholar 

  • Gibbons, M., Limoges, C., Nowotny, H., Schwartzman, S., Scott, P., & Trow, M. (1994). The new production of knowledge: The dynamics of science and research in contemporary societies. Beverley Hills, CA: SAGE Publications Limited.

  • Granstrand, O., Patel, P., & Pavitt, K. (1997). Multi-technology corporations: Why they have’distributed’rather than’distinctive core’competences. California Management Review, 39(4), 8.

    Article  Google Scholar 

  • Hagedoorn, J., Link, A. N., & Vonortas, N. S. (2000). Research partnerships. Research Policy, 29(4–5), 567–586.

    Article  Google Scholar 

  • Hitt, M. A., Biermant, L., Shimizu, K., & Kochhar, R. (2001). Direct and moderating effects of human capital on strategy and performance in professional service firms: A resource-based perspective. Academy of Management Journal, 44(1), 13–28.

    Article  Google Scholar 

  • Liebeskind, J. P., Oliver, A. L., Zucker, L., & Brewer, M. (1996). Social networks, learning, and flexibility: Sourcing scientific knowledge in new biotechnology firms. Organization Science, 7(4), 428–443.

    Article  Google Scholar 

  • Mangematin, V. (2000). Ph.D. job market: professional trajectories and incentives during the Ph.D. Research Policy, 29(6), 741–756.

    Article  Google Scholar 

  • Nooteboom, B. (2000). Learning and innovation in organizations and economies. Oxford: Oxford University Press.

  • Nooteboom, B., Van Haverbeke, W. P. M., Duijsters, G. M., Gilsing, V. A., & Van Oord, A. (2007). Optimal cognitive distance and absorptive capacity. Research Policy, 36(7), 1016–1034.

    Article  Google Scholar 

  • Nuvolari, A. (2004). Collective invention during the British Industrial Revolution: The case of the Cornish pumping engine. Cambridge Journal of Economics, 28(3), 347–363.

    Article  Google Scholar 

  • Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D'Este, P., et al. (2013). Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy, 42(2), 423–442.

  • Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

    Article  Google Scholar 

  • Ponds, R., Van Oort, F., & Frenken, K. (2007). The geographical and institutional proximity of research collaboration. Papers in Regional Science, 86(3), 423–443.

    Article  Google Scholar 

  • Powell, W. W., White, Douglas R., Koput, Kenneth W., & Owen-Smith, Jason. (2005). Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences. American Journal of Sociology, 110(4), 1132–1205.

    Article  Google Scholar 

  • Rallet, A., & Torre, A. (1999). Is geographical proximity necessary in the innovation networks in the era of global economy? GeoJournal, 49(4), 373–380.

    Article  Google Scholar 

  • Rosenberg, N. (1990). Why do firms do basic research (with their own money)? Research Policy, 19(2), 165–174.

    Article  Google Scholar 

  • Salimi, N., Bekkers, R., & Frenken, K. (2013). Governance and success of university-industry collaborations on the basis of Ph. D. projects: An explorative study. Eindhoven Center for Innovation Studies (ECIS), working paper, No. 13.05.

  • Shrum, W., Genuth, J., & Chompalov, I. (2007). Structures of scientific collaboration. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Teece, D. J. (1986). Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy. Research Policy, 15(6), 285–305.

    Article  Google Scholar 

  • Thune, T. (2009). Doctoral students on the university–industry interface: A review of the literature. Higher Education, 58(5), 637–651.

    Article  Google Scholar 

  • Torre, A., & Rallet, A. (2005). Proximity and localization. Regional Sciences, 39(1), 47–59.

  • Williamson, O. E. (1975). Markets and hierarchies (pp. 26–30). New York: Free Press.

    Google Scholar 

Download references

Acknowledgments

Earlier versions of this paper were presented at a research seminar held at Eindhoven University of Technology’s department of Industrial Engineering and Innovation Sciences and at a colloquium at Delft University of Technology. We are very grateful for the comments and feedback provided by the participants. This paper also benefited from the valuable comments by three anonymous reviewers. We also thank Delft University of Technology’s Transport and Logistics department for their support and use of their facilities.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Negin Salimi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Salimi, N., Bekkers, R. & Frenken, K. Governance mode choice in collaborative Ph.D. projects. J Technol Transf 40, 840–858 (2015). https://doi.org/10.1007/s10961-014-9368-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-014-9368-5

Keywords

JEL Classification

Navigation