Skip to main content
Log in

The effects of non-academic work experience on external interaction and research performance

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

Abstract

We ask whether academic employees with non-academic work experience differ from their colleagues with respect to interaction with external stakeholders and research performance. We use a science and technical human capital perspective and address the question through an analysis of 4400 survey responses from academic employees in Norwegian universities and colleges. Non-academic work experience is common in all academic fields; it characterises more than half of the tenured academic staff members in Norway. Our analysis indicates that, in general, external interaction is positively influenced by non-academic work experience, in line with prior research. Contrary to expectations, we find few signs of a trade-off or a “punishment” effect of non-academic work experience on scientific productivity. Non-academic work experience is neither significantly related to publication productivity nor share of publications in highly ranked journals, but there are important differences based on the type of previous work experience.

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

References

  • Abreu, M., & Grinevich, V. (2013). The nature of academic entrepreneurship in the UK: Widening the focus on entrepreneurial activities. Research Policy, 42(2), 408–422.

    Article  Google Scholar 

  • Bekkers, R., & Freitas, I. M. (2008). Analyzing knowledge transfer channels between universities and industry: To what degree do sectors also matter? Research Policy, 37(10), 1837–1853.

    Article  Google Scholar 

  • Boardman, P. C., & Ponomariov, B. L. (2009). University researchers working with private companies. Technovation, 29, 142–153.

    Article  Google Scholar 

  • Bozeman, B., Dietz, J. S., & Gaughan, M. (2001). Scientific and technical human capital: An alternative approach to R&D evaluation. International Journal of Technology Management, 22(8), 716–740.

    Article  Google Scholar 

  • Bozeman, B., Fay, D., & Slade, C. P. (2013). Research collaboration in universities and academic entrepreneurship: The state-of-the-art. Journal of Technology Transfer, 38, 1–67.

    Article  Google Scholar 

  • Brown, J. D. (2009). Principal components analysis and exploratory factor analysis—Definitions, differences, and choices. JALT Testing & Evaluation SIG Newsletter, 13(1), 26–30.

    Google Scholar 

  • Cañibano, C., & Bozeman, B. (2009). Curriculum vitae method in science policy and research evaluation: The state-of-the-art. Research Evaluation, 18(2), 86–94.

    Google Scholar 

  • Clarysse, B., Tartari, V., & Salter, A. (2011). The impact of entrepreneurial capacity, experience and organizational support on academic entrepreneurship. Research Policy, 40, 1084–1093.

    Article  Google Scholar 

  • D’Este, P., & Fontana, R. (2007). What drives the emergence of entrepreneurial academics? A study on collaborative research partnerships in the UK. Research Evaluation, 16(4), 257–270.

    Article  Google Scholar 

  • D’Este, P., & Perkmann, M. (2011). Why do academics engage with industry? The entrepreneurial university and individual motivations. Journal of Technology Transfer, 36, 316–339.

    Article  Google Scholar 

  • Dietz, J. S., & Bozeman, B. (2005). Academic careers, patents, and productivity: Industry experience as scientific and technical human capital. Research Policy, 34, 349–367.

    Article  Google Scholar 

  • Fernandez-Zubieta, A., Geuna, A., & Lawson, C. (2015). What do we know of the mobility of research scientists and of its impact on scientific production. LEI & BRICK working paper series 08/2015.

  • Geuna, A., Kataishi, R., Toselli, M., Guzmán, E., Lawson, C., Fernandez-Zubieta, A., & Barros, B. (2015). SiSOB data extraction and codification: A tool to analyze scientific careers. Research Policy, 44(9), 1645–1658.

    Article  Google Scholar 

  • Gibbons, M., et al. (1994). The new production of knowledge. The dynamics of science and research in contemporary societies. London: Sage Publications.

    Google Scholar 

  • Gulbrandsen, M., Mowery, D., & Feldman, M. (2011). Heterogeneity and university–industry relations: Introduction to the special section. Research Policy, 40, 1–5.

    Article  Google Scholar 

  • Gulbrandsen, M., & Smeby, J. K. (2005). Industry funding and university professors’ research performance. Research Policy, 34(6), 932–950.

    Article  Google Scholar 

  • Jensen, M. B., Johnson, B., Lorenz, E., & Lundvall, B. -A. (2007). Forms of knowledge and modes of innovation. Research Policy, 36, 680–693.

    Article  Google Scholar 

  • Larsen, T. M. (2011). The implications of academic enterprise for public science: An overview of the empirical evidence. Research Policy, 40(1), 6–19.

    Article  Google Scholar 

  • Lin, M.-W., & Bozeman, B. (2006). Researchers’ industry experience and productivity in university–industry research centres: A “scientific and technical human capital” explanation. Journal of Technology Transfer, 31, 269–290.

    Article  Google Scholar 

  • Lubango, L. M., & Pouris, A. (2007). Industry work experience and inventive capacity of South African academic researchers. Technovation, 27, 788–796.

    Article  Google Scholar 

  • Nowotny, H., Scott, P., & Gibbons, M. (2001). Re-thinking science: Knowledge and the public in an age of uncertainty. London: Polity Press.

    Google Scholar 

  • Olmos-Peñuela, J., Benneworth, P. & Castro-Martínez, E. (2015). What stimulates researchers to make their research usable? Towards an ‘openness’ approach. Minerva, 53(4), 381–410.

    Article  Google Scholar 

  • Perkmann, M., et al. (2013). Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy, 42, 423–442.

    Article  Google Scholar 

  • Roach, M., & Sauermann, H. (2010). A taste for science? PhD scientists’ academic orientation and self-selection into research careers in industry. Research Policy, 39, 422–434.

    Article  Google Scholar 

  • Rosenberg, N., & Nelson, R. R. (1994). American universities and technical advance in industry. Research Policy, 23, 323–348.

    Article  Google Scholar 

  • Rothaermel, F. T., Agung, S. D., & Jiang, L. (2007). University entrepreneurship: A taxonomy of the literature. Industrial and Corporate Change, 16, 691–791.

    Article  Google Scholar 

  • Stokes, D. E. (1997). Pasteur’s quadrant. Basic science and technological innovation. Washington, DC: The Brookings Institution Press.

    Google Scholar 

  • Van Rijnsoever, F. J., Hessels, L. K., & Vandeberg, R. L. J. (2008). A resource-based view on the interactions of university researchers. Research Policy, 37, 1255–1266.

    Article  Google Scholar 

Download references

Acknowledgements

The data used in this article was collected by the Nordic Institute for Studies of Innovation, Research and Education (NIFU). Funding was provided by the Ministry of Science and Education in Norway through a strategic research programme granted to NIFU. The support from the Ministry, staff at NIFU (Nicoline Frölich, Per Olaf Aamodt, Ingvild Reymert), Fulvio Castellacci at TIK and the special issue editors and reviewers is gratefully acknowledged. Mistakes and omissions remain our responsibilities.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Magnus Gulbrandsen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gulbrandsen, M., Thune, T. The effects of non-academic work experience on external interaction and research performance. J Technol Transf 42, 795–813 (2017). https://doi.org/10.1007/s10961-017-9556-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-017-9556-1

Keywords

JEL Classification

Navigation