Abstract
Do academics who commercialize their inventions have a different professional character than those who do not? The author conducted a nationwide survey in Hungary including 1,562 academics of hard sciences from 14 universities. According to the cluster analysis based on their participation in research commercialization (RC), university scholars can be divided into three distinct groups: ‘traditional faculty’ (56%), ‘market-oriented faculty’ (22%), and ‘academic entrepreneurs’ (22%). Traditional faculty members typically do not participate in RC, while, within the framework of the university, market-oriented academics are engaged in RC the most frequently. Academic entrepreneurs, in addition to their university positions, work for spin-off firms that commercialize research findings. Multinomial logistic regressions revealed that university scientists in various engineering fields, and especially in chemical technology, as well as in biotechnology and pharmaceutics have a considerably greater potential to engage in RC, similar to scholars with industry work experience, high number of publications, and professorial rank. Discipline, work experience, scientific performance, and academic rank seem to outweigh the effect of the university and its location on RC behavior. These findings underscore the inherent diversity of the academic profession and question the necessity of implementing uniform RC policies such as the Bayh–Dole model across universities, disciplines, and segments of university scientists.
Similar content being viewed by others
Notes
The Bayh–Dole Act of 1980 created the legal framework for the collaboration of academic, government and private organizations by allowing universities to retain and commercialize the rights (e.g. by licensing them to a business) relating to the invention resulting from research activities carried out at the institution. University technology transfer offices have been attributed a crucial role in matching university research with industry needs (Brady et al. 2015).
The Law on Research and Technological Innovation, effective as of 2005, allows universities in Hungary to retain title to inventions resulting from research activities pursued within the framework of the university. A new law on innovation took effect in 2015, which grants university-born inventions to the government; however, public research organizations may continue the practice of exercising the ownership rights of these IPs in the name of the central state, e.g. by establishing spin-off firms and taking equity positions in them.
The exact number of the population is not easy to determine for various reasons. For example, some institutions in addition to ‘university faculties’ embrace faculties that are less research oriented and thus have a ‘college faculty’ status; I excluded them from the sample. Besides, the Hungarian Educational Authority does not publish data about academics hired in research positions in such detail as in the case of teaching positions.
In Hungary, there are seven NUTS 2 regions, used as the bases for statistical analysis and economic planning in the EU.
The standardized predictor importance value, ranging between 0.0 and 1.0, is obtained from the t-statistic distribution: it shows the relative contribution of each variable to the cluster formation (SPSS 2011). The greater the predictor importance value, the more critical the variable is in the formation of the clusters.
One way to calculate odds ratios is by raising the mathematical constant e to the power of the logistic coefficient.
According to the law on higher education (Act CCIV of 2011), ‘university professors’ have higher (international) academic experience/reputation and receive higher salaries than ‘college professors.’
Their salaries are regulated by law, so academics can only increase the return on their human capital from external (non-university) sources, i.e. industry funds and government grants.
References
Acs, Zoltan J., David B. Audretsch, and Maryann P. Feldman. 1992. Real effects of academic research: Comment. The American Economic Review 82: 363–367.
Agarwal, Rajshree, and Atsushi Ohyama. 2013. Industry or academia, basic or applied? Career choices and earnings trajectories of scientists. Management Science 59: 950–970.
Agrawal, Ajay, and Rebecca Henderson. 2002. Putting patents in context: Exploring knowledge transfer from MIT. Management Science 48: 44–60.
Aldridge, T. Taylor, and David Audretsch. 2011. The Bayh–Dole Act and Scientist Entrepreneurship. Research Policy 40: 1058–1067.
Allen, Nessy. 1988. Aspects of promotion procedures in Australian universities. Higher Education 17: 267–280.
Alpert, Daniel. 1985. Performance and paralysis: The organizational context of the American research university. The Journal of Higher Education 56: 241–281.
Anselin, Luc, Attila Varga, and Zoltan Acs. 1997. Local geographic spillovers between university research and high technology innovations. Journal of Urban Economics 42: 422–448.
Avnimelech, Gil, and Maryann P. Feldman. 2015. The stickiness of university spin-offs: A study of formal and informal spin-offs and their location from 124 US academic institutions. International Journal of Technology Management 68: 122–149.
Bienkowska, Dzamila, Magnus Klofsten, and Einar Rasmussen. 2016. PhD students in the entrepreneurial university-perceived support for academic entrepreneurship. European Journal of Education 51: 56–72.
Biglan, Anthony. 1973a. The characteristics of subject matter in different academic areas. Journal of Applied Psychology 57: 195.
Biglan, Anthony. 1973b. Relationships between subject matter characteristics and the structure and output of university departments. Journal of Applied Psychology 57: 204.
Blumenthal, David, Eric G. Campbell, Melissa S. Anderson, Nancyanne Causino, and Karen Seashore Louis. 1997. Withholding research results in academic life science: Evidence from a national survey of faculty. Jama 277: 1224–1228.
Bonaccorsi, Andrea, and Cinzia Daraio (eds.). 2007. Universities and strategic knowledge creation: Specialization and performance in Europe. Cheltenham: Edward Elgar Publishing.
Bonaccorsi, Andrea, and Cinzia Daraio. 2003. Age effects in scientific productivity. Scientometrics 58: 49–90.
Brady, C., et al. 2015. UK University Technology Transfer: Behind the headlines—A note from the UK’s leading university technology transfer professionals. http://www.isis-innovation.com/wp-content/uploads/2015/04/TT-in-the-UK-Paper.pdf. Accessed 3 Nov 2015.
Braxton, John M. 1989. Institutional variability in faculty conformity to the norms of science: A force of integration or fragmentation in the academic profession? Research in Higher Education 30: 419–433.
Britt, Ronda. 2012. Universities report highest-ever R&D spending of $65 billion in FY 2011. National Center for Science and Engineering Statistics. NSF 13-305. http://www.nsf.gov/statistics/infbrief/nsf13305/. Accessed 16 Nov 2015.
Bucher, Rue, and Anselm Strauss. 1961. Professions in process. American Journal of Sociology 66: 325–334.
Clark, Burton R. 1987a. The academic life: Small worlds, different worlds. (A Carnegie Foundation Special Report). Lawrenceville: Princeton University Press.
Clark, Burton R. 1998. Creating entrepreneurial universities: Organizational pathways of transformation. Bingley: Emerald.
Clark, Burton R. (ed.). 1987b. The academic profession: National, disciplinary, and institutional settings. Berkeley: University of California Press.
Clarysse, Bart, and Nathalie Moray. 2004. A process study of entrepreneurial team formation: The case of a research-based spin-off. Journal of Business Venturing 19: 55–79.
Cox, David Roxbee, and E. Joyce Snell. 1989. Analysis of binary data, vol. 32. Boca Raton: CRC Press.
Dietz, James S., and Barry Bozeman. 2005. Academic careers, patents, and productivity: Industry experience as scientific and technical human capital. Research Policy 34: 349–367.
Donaldson, Stewart I., and Elisa J. Grant-Vallone. 2002. Understanding self-report bias in organizational behavior research. Journal of Business and Psychology 17: 245–260.
Educational Authority. 2009. Hungarian higher education statistics. http://www.oktatas.hu/felsooktatas/felsooktatasi_statisztikak/!DARI_FelsooktStat/oh.php?id=fir_int_stat&fir_stat_ev=2009. Accessed 10 May 2014.
Etzkowitz, Henry. 2003. MIT and the rise of entrepreneurial science. London: Routledge.
European Commission. 2003. Communication from the commission: The role of the universities in the Europe of knowledge. Brussels: European Commission.
European Commission. 2006. Communication from the commission: Delivering the modernization agenda for universities—Education, research and innovation. Brussels: European Commission.
European Parliament. 2000. Lisbon European Council 23 and 24 March 2000: Presidency conclusions. http://www.europarl.europa.eu/summits/lis1_en.htm. Accessed 17 May 2014.
Feldman, Maryann P., and Pierre Desrochers. 2004. Truth for its own sake: Academic culture and technology transfer at Johns Hopkins University. Minerva 42: 105–126.
Franzoni, C., and F. Lissoni. 2009. Academic entrepreneurs: Critical issues and lessons for Europe. In Universities, knowledge transfer and regional development: Geography, entrepreneurship and policy, ed. Attila Varga, 163–190. Cheltenham: Edward Elgar.
Geuna, Aldo, and Federica Rossi. 2011. Changes to university IPR regulations in Europe and the impact on academic patenting. Research Policy 40: 1068–1076.
Gispen, Kees. 2002. New profession, old order: Engineers and German society, 1815-1914. Cambridge: Cambridge University Press.
Gujarati, Damodar. 2014. Econometrics by example. Basingstoke: Palgrave Macmillan.
HCSO 2013. Gross domestic product (GDP) per capita, 2009–2011. Distribution of Regional GDP. Hungarian Central Statistical Office. https://www.ksh.hu/docs/hun/xftp/idoszaki/gdpter/gdpter11.pdf. Accessed June 4 2015.
Jaffe, Adam B. 1989. Real effects of academic research. The American Economic Review 79: 957–970.
Klepper, Steven. 2001. Employee startups in high-tech industries. Industrial and Corporate Change 10: 639–674.
Klofsten, Magnus, and Dylan Jones-Evans. 2000. Comparing academic entrepreneurship in Europe: The case of Sweden and Ireland. Small Business Economics 14: 299–309.
Laird, Thomas F. Nelson, Rick Shoup, George D. Kuh, and Michael J. Schwarz. 2008. The effects of discipline on deep approaches to student learning and college outcomes. Research in Higher Education 49: 469–494.
Landry, Réjean, Nabil Amara, and Mathieu Ouimet. 2007. Determinants of knowledge transfer: Evidence from Canadian university researchers in natural sciences and engineering. The Journal of Technology Transfer 32: 561–592.
Leslie, David W. 2002. Resolving the dispute: Teaching is academe’s core value. Journal of Higher Education 73: 49–73.
Louis, Karen Seashore, Lisa M. Jones, Melissa S. Anderson, David Blumenthal, and Eric G. Campbell. 2001. Entrepreneurship, secrecy, and productivity: A comparison of clinical and non-clinical life sciences faculty. The Journal of Technology Transfer 26: 233–245.
Lowe, Robert A., and Claudia Gonzalez-Brambila. 2007. Faculty entrepreneurs and research productivity. The Journal of Technology Transfer 32: 173–194.
Macfarlane, Bruce, and Ming Cheng. 2008. Communism, universalism and disinterestedness: Re-examining contemporary support among academics for Merton’s scientific norms. Journal of Academic Ethics 6: 67–78.
Magerman, Tom, Bart Van Looy, and Koenraad Debackere. 2015. Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology. Research Policy 44: 1702–1713.
McCaffrey, Robert J., Wendy B. Nelles, and Donn Byrne. 1989. Criteria for tenure and promotion in doctoral degree programs in psychology: Perceptions of department chairs and heads. Bulletin of the Psychonomic Society 27: 77–80.
McFadden, Daniel. 1973. Conditional logit analysis of qualitative choice behavior. In Frontiers of econometrics, ed. Paul Zarembka, 105–142. New York: Academic Press.
Menard, Scott. 2000. Coefficients of determination for multiple logistic regression analysis. The American Statistician 54: 17–24.
Merton, Robert K. 1973 [1942]. The normative structure of science. In The sociology of science: Theoretical and empirical investigations, eds. R. Merton, and N.W. Storer, 267–278. Chicago, IL: University of Chicago Press.
Ministry of National Resources. 2010. Statistical yearbook of education 2009/2010. Department of Administrative Coordination. Section of statistics. Budapest. http://www.nefmi.gov.hu/letolt/statisztika/okt_evkonyv_2009_2010_100907.pdf. Accessed 15 Aug 2015.
Mishra, Vinod, and Russell Smyth. 2013. Are more senior academics really more research productive than junior academics? Evidence from Australian law schools. Scientometrics 96: 411–425.
Mooi, Erik, and Marko Sarstedt. 2011. A concise guide to market research: The process, data, and methods using IBM SPSS statistics. Berlin: Springer.
Moses, Ingrid. 1986. Promotion of academic staff. Higher Education 15: 135–149.
Mowery, David C., and Bhaven N. Sampat. 2005. Universities in national innovation systems. In Oxford Handbook of Innovation, eds. Jan Fagerberg, David C. Mowery, and Richard R. Nelson, 209–239. Oxford: Oxford University Press.
Murray, Fiona, and Scott Stern. 2007. Do formal intellectual property rights hinder the free flow of scientific knowledge? An empirical test of the anti-commons hypothesis. Journal of Economic Behavior and Organization 63: 648–687.
Nagelkerke, Nico J.D. 1991. A note on a general definition of the coefficient of determination. Biometrika 78: 691–692.
Owen-Smith, Jason, and Walter W. Powell. 2001. Careers and contradictions: Faculty responses to the transformation of knowledge and its uses in the life sciences. Research in Sociology of Work 10: 109–140.
Perkmann, Markus, Valentina Tartari, Maureen McKelvey, Erkko Autio, Anders Broström, Pablo D’Este, Riccardo Fini, et al. 2013. Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy 42: 423–442.
Petrucci, Carrie J. 2009. A primer for social worker researchers on how to conduct a multinomial logistic regression. Journal of Social Service Research 35: 193–205.
Ponomariov, Branco L. 2008. Effects of university characteristics on scientists’ interactions with the private sector: An exploratory assessment. The Journal of Technology Transfer 33: 485–503.
Powell, Walter W., Jason Owen-Smith, and Jeannette A. Colyvas. 2007. Innovation and emulation: Lessons from American universities in selling private rights to public knowledge. Minerva 45: 121–142.
Provasi, Giancarlo, Flaminio Squazzoni, and Beatrice Tosio. 2012. Did they sell their soul to the devil? Some comparative case-studies on academic entrepreneurs in the life sciences in Europe. Higher Education 64: 805–829.
Rappa, Michael, and Koenraad Debackere. 1993. Youth and scientific innovation: The role of young scientists in the development of a new field. Minerva 31: 1–20.
Renault, Catherine Searle. 2006. Academic capitalism and university incentives for faculty entrepreneurship. The Journal of Technology Transfer 31: 227–239.
Rodríguez, Germán. 2007. Lecture notes on generalized linear models. Princeton: Princeton University. http://data.princeton.edu/wws509/notes/. Accessed 9 Sept 2015.
Rodríguez-Pose, Andrés, and Riccardo Crescenzi. 2008. Research and development, spillovers, innovation systems, and the genesis of regional growth in Europe. Regional Studies 42: 51–67.
Rothaermel, Frank T., Shanti D. Agung, and Lin Jiang. 2007. University entrepreneurship: A taxonomy of the literature. Industrial and Corporate Change 16: 691–791.
Sauermann, Henry, and Michael Roach. 2014. Not all scientists pay to be scientists: PhDs’ preferences for publishing in industrial employment. Research Policy 43: 32–47.
Schuetze, Hans Georg. 2007. Research universities and the spectre of academic capitalism. Minerva 45: 435–443.
Shane, Scott. 2000. Prior knowledge and the discovery of entrepreneurial opportunities. Organization Science 11: 448–469.
Shibayama, Sotaro. 2012. Conflict between entrepreneurship and open science, and the transition of scientific norms. The Journal of Technology Transfer 37: 508–531.
Smart, John C., and Gerald W. McLaughlin. 1978. Reward structures of academic disciplines. Research in Higher Education 8: 39–55.
SPSS. 2001. The SPSS TwoStep cluster component. White paper: Technical report. http://www.spss.ch/upload/1122644952_The%20SPSS%20TwoStep%20Cluster%20Component.pdf. Accessed 10 Sept 2015.
SPSS. 2011. IBM SPSS statistics 20 algorithms. ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/20.0/en/client/Manuals/IBM_SPSS_Statistics_Algorithms.pdf. Accessed 10 Sept 2015.
Sternberg, Rolf. 2014. Success factors of university-spin-offs: Regional government support programs versus regional environment. Technovation 34: 137–148.
Tchalakov, Ivan, Tihomir Mitev, and Venelin Petrov. 2010. The academic spin-offs as an engine of economic transition in eastern Europe. A path-dependent approach. Minerva 48(2): 189–217.
Teichler, Ulrich, and Ester Ava Höhle (eds.). 2013. The work situation of the academic profession in Europe: Findings of a survey in twelve countries. Dordrecht: Springer.
Tien, Flora F. 2007. To what degree does the promotion system reward faculty research productivity? British Journal of Sociology of Education 28: 105–123.
Tirri, Kirsi, Jukka Husu, and Pertti Kansanen. 1999. The epistemological stance between the knower and the known. Teaching and Teacher Education 15: 911–922.
Van Looy, Bart, Marina Ranga, Julie Callaert, Koenraad Debackere, and Edwin Zimmermann. 2004. Combining entrepreneurial and scientific performance in academia: Towards a compounded and reciprocal Matthew-effect? Research Policy 33: 425–441.
Varga, Attila, and Katalin Erdős. 2010. Az egyetemi vállalkozó: legenda vagy valóság az európai regionális fejlődés elősegítésére? [University entrepreneurs: legend or fact in aiding European regional development?]. Közgazdasági Szemle (Economic Review-monthly of the Hungarian Academy of Sciences) 57: 457–472.
Wright, Mike, Bart Clarysse, Philippe Mustar, and Andy Lockett. 2007. Academic entrepreneurship in Europe. Cheltenham: Edward Elgar Publishing.
Ylijoki, Oili-Helena. 2003. Entangled in academic capitalism? A case-study on changing ideals and practices of university research. Higher Education 45: 307–335.
Ziman, John M. 1987. The problem of “problem choice”. Minerva 25: 92–106.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Novotny, A. The Heterogeneity of the Academic Profession: The Effect of Occupational Variables on University Scientists’ Participation in Research Commercialization. Minerva 55, 485–508 (2017). https://doi.org/10.1007/s11024-017-9321-5
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11024-017-9321-5