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The Production of Academic Technological Knowledge: an Exploration at the Research Group Level

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Abstract

Public research institutions have a key role in a knowledge-based society as they lead scientific research and generate patentable technology directly applicable to industrial productive processes. In this paper, we address the latter role. Several well-known papers have dealt with the production of university patents at the level of universities and laboratories; however, despite the relevance of research groups in national research systems, their capacity as producers of patents has been neglected. In this paper, we fill this gap by testing the effect of previous collaborations and the scientific background of the group on the production of knowledge, measured by the number of patents. In the framework of a knowledge production function, we estimate several empirical count models with a sample of 1120 research groups affiliated to the three major public research institutions in Spain. Our findings suggest that the production of patents at the research group level is positively and significantly correlated with the variables capturing private collaboration and scientific background. The results also point to significant differences in the production of technological knowledge across institutions and areas of research.

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Notes

  1. Two other areas of knowledge, 8) Social and juridical sciences and 9) Humanities, were deliberately excluded as they are no involvement with the generation of patents.

  2. For the sake of clarity, we do not present these new models, but they are available upon request.

References

  • Acosta, M., & Coronado, D. (2003). Science-technology flows in Spanish regions: an analysis of scientific citations in patents. Research Policy, 32, 1783–1803.

    Google Scholar 

  • Acosta, M., Coronado, D., & Marín, R. (2005). Generating technological knowledge in Spanish universities: an exploration of patent data. Innovation: Management, Policy & Practice, 7, 357–372.

    Google Scholar 

  • Acosta, M., Coronado, D., & Martinez, M. (2015). Does technological diversification spur university patenting? The Journal of Technology Transfer, 43, 96–119. https://doi.org/10.1007/s10961-015-9414-y.

    Article  Google Scholar 

  • Acs, Z. J., Audretsch, D. B., Lehmann, E. E., & Licht, G. (2017). National systems of innovation. The Journal of Technology Transfer, 42(5), 997–1008.

    Google Scholar 

  • Agrawal, A., & Henderson, R. (2002). Putting patents in context: exploring knowledge transfer from MIT. Management Science, 48, 44–60.

    Google Scholar 

  • Aguiar-Díaz, I., Díaz-Díaz, N. L., Ballesteros-Rodríguez, J. L., & De Sáa-Pérez, P. (2016). University–industry relations and research group production: is there a bidirectional relationship? Industrial and Corporate Change, 25(4), 611–632.

    Google Scholar 

  • Ahmadpoor, M., & Jones, B. F. (2017). The dual frontier: patented inventions and prior scientific advance. Science, 357(6351), 583–587.

    Google Scholar 

  • Amabile, T. M. (1996). Creativity in context. Colorado: Westview Press, Boulder.

    Google Scholar 

  • Ankrah, S., & Omar, A. T. (2015). Universities–industry collaboration: a systematic review. Scandinavian Journal of Management, 31(3), 387–408.

    Google Scholar 

  • Ardito, L., Ferraris, A., Petruzzelli, A. M., Bresciani, S., & Del Giudice, M. (2018). The role of universities in the knowledge management of smart city projects. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2018.07.030.

  • Arvanitis, S., Kubli, U., & Woerter, M. (2008). University-industry knowledge and technology transfer in Switzerland: what university scientists think about co-operation with private enterprises. Research Policy, 37, 1865–1883.

    Google Scholar 

  • Arza, V., & López, A. (2011). Firms’ linkages with public research organisations in Argentina: drivers, perceptions and behaviours. Technovation, 31(8), 384–400.

    Google Scholar 

  • Azagra Caro, J. M., Fernández de Lucio, I., & Gutiérrez Gracia, A. (2003). University patents: output and input indicators of what? Research Evaluation, 12, 5–16.

    Google Scholar 

  • Azagra-Caro, J. M., Archontakis, F., Gutiérrez-Gracia, A., & Fernández-de-Lucio, I. (2006a). Faculty support for the objectives of university-industry relations versus degree of R&D cooperation: the importance of regional absorptive capacity. Research Policy, 35, 37–55.

    Google Scholar 

  • Azagra-Caro, J. M., Carayol, N., & Llerena, P. (2006b). Patent production at a European research university: exploratory evidence at the laboratory level. The Journal of Technology Transfer, 31(2), 257–268.

    Google Scholar 

  • Azoulay, P., Ding, W., & Stuart, T. (2007). The determinants of faculty patenting behavior: demographics or opportunities? Journal of Economic Behavior & Organization, 63, 599–623.

    Google Scholar 

  • Balconi, M., Brusoni, S., & Orsenigo, L. (2010). In defence of the linear model: an essay. Research Policy, 39(1), 1–13.

    Google Scholar 

  • Baldini, N., Grimaldi, R., & Sobrero, M. (2006). Institutional changes and the commercialization of academic knowledge: a study of Italian universities’ patenting activities between 1965 and 2002. Research Policy, 35, 518–532.

    Google Scholar 

  • Barjak, F., & Robinson, S. (2007). International collaboration, mobility and team diversity in the life sciences: impact on research performance. Social Geography Discussions, 3, 121–157.

    Google Scholar 

  • Barletta, F., Yoguel, G., Pereira, M., & Rodríguez, S. (2017). Exploring scientific productivity and transfer activities: evidence from Argentinean ICT research groups. Research Policy, 46, 1361–1369.

    Google Scholar 

  • Blumenthal, D., Campbell, E. G., Causino, N., & Louis, K. S. (1996). Participation of life-science faculty in research relationships with industry. The New England of Medicine, 335, 1734–1717.

    Google Scholar 

  • Blundell, R., Griffith, R., & Reenen, J. (1999). Market share, market value and innovation in a panel of British manufacturing firms. The Review of Economic Studies, 66, 529–554.

    Google Scholar 

  • Bozeman, B. (2000). Technology transfer and public policy: a review of research and theory. Research Policy, 29(4–5), 627–655.

    Google Scholar 

  • Bozeman, B., & Pandey, S. (1994). Cooperative R&D in government laboratories: comparing the US and Japan. Technovation, 14(3), 145–159.

    Google Scholar 

  • Braczyk, H. J., Cooke, P. N., & Heidenreich, M. (Eds.). (1998). Regional innovation systems: the role of governances in a globalized world. London: Psychology Press.

    Google Scholar 

  • Bruneel, J., d’Este, P., & Salter, A. (2010). Investigating the factors that diminish the barriers to university–industry collaboration. Research Policy, 39(7), 858–868.

    Google Scholar 

  • Cameron, A., & Trivedi, P. (1986). Econometrics models based on count data: comparisons and applications of some estimators and tests. Journal of Applied Econometrics, 1, 29–53.

    Google Scholar 

  • Cameron, A., & Trivedi, P. (1998). Regression analysis of count data. New York: Cambridge University Press.

    Google Scholar 

  • Carayannis, E. G., & Campbell, D. F. (2009). ‘Mode 3’ and ‘Quadruple Helix’: toward a 21st century fractal innovation ecosystem. International Journal of Technology Management, 46(3–4), 201–234.

    Google Scholar 

  • Carayannis, E. G., Cherepovitsyn, A. Y., & Ilinova, A. A. (2015). Technology commercialization in entrepreneurial universities: the US and Russian experience. The Journal of Technology Transfer, 41, 1135–1147. https://doi.org/10.1007/s10961-015-9406-y.

    Article  Google Scholar 

  • Carayannis, E. G., Grigoroudis, E., Campbell, D. F., Meissner, D., & Stamati, D. (2018). The ecosystem as helix: an exploratory theory-building study of regional co-opetitive entrepreneurial ecosystems as quadruple/quintuple Helix innovation models. R&D Management, 48(1), 148–162.

    Google Scholar 

  • Coronado, D., Flores, E., & Martínez, M. A. (2017). The role of regional economic specialization in the production of university-owned patents. The Annals of Regional Science, 59(2), 513–533.

    Google Scholar 

  • Coupé, T. (2003). Science is golden: academic R&D and university patents. Journal of Technology Transfer, 28, 31–46.

    Google Scholar 

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

    Google Scholar 

  • Della Malva, A., Lissoni, F., & Llerena, P. (2013). Institutional change and academic patenting: French universities and the Innovation Act of 1999. Journal of Evolutionary Economics, 23(1), 211–239.

    Google Scholar 

  • Ekvall, G. (1997). Organizational conditions and levels of creativity. Creativity and Innovation Management, 6, 195–205.

    Google Scholar 

  • Emodi, N. V., Murthy, G. P., Emodi, C. C., & Emodi, A. S. A. (2017). A literature review on the factors influencing patent propensity. International Journal of Innovation and Technology Management, 14(03), 1750015 1-30.

    Google Scholar 

  • Etzkowitz, H. (2003). Research groups as ‘quasi-firms’: the invention of the entrepreneurial university. Research Policy, 32, 109–121.

    Google Scholar 

  • Etzkowitz, H. (2017). Innovation Lodestar: the entrepreneurial university in a stellar knowledge firmament. Technological Forecasting and Social Change, 123, 122–129.

    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.

    Google Scholar 

  • Fernández-Zubieta, A., Andújar-Nagore, I., Giachi, S., & Fernández-Esquinas, M. (2016). New organizational arrangements for public-private research collaboration. Journal of the Knowledge Economy, 7(1), 80–103.

    Google Scholar 

  • Fisch, C., Hassel, T., Sandner, P., & Block, J. (2015). University patenting: a comparison of 300 leading universities worldwide. The Journal of Technology Transfer, 40, 318–345.

    Google Scholar 

  • Foltz, J. D., Kim, K., & Barham, B. (2003). A dynamic analysis of university agricultural biotechnology patent production. American Journal of Agricultural Economics, 85, 187–197.

    Google Scholar 

  • Ford, C. M. (1996). A theory of individual creative action in multiple social domains. Academy of Management Review, 21, 1112–1142.

    Google Scholar 

  • Geuna, A., & Nesta, L. J. (2006). University patenting and its effects on academic research: the emerging European evidence. Research Policy, 35, 790–807.

    Google Scholar 

  • Glauber, J., Wollersheim, J., Sandner, P., & Welpe, I. M. (2015). The patenting activity of German universities. Journal of Business Economics, 85(7), 719–757.

    Google Scholar 

  • Godin, B. (2006). The linear model of innovation: the historical construction of an analytical framework. Science, Technology, & Human Values, 31(6), 639–667.

    Google Scholar 

  • Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics, 10, 92–116.

    Google Scholar 

  • Griliches, Z. (1990). Patent statistics as economic indicators: a survey. Journal of Economic Literature, 28, 1661–1707.

    Google Scholar 

  • Gurmu, S., Black, G. C., & Stephan, P. E. (2010). The knowledge production function for university patenting. Economic Inquiry, 48, 192–213.

    Google Scholar 

  • Hausman, J.A., Hall, B.H., and Griliches, Z. (1984). Econometric models for count data with an application to the patents-R&D relationship. Econometrica, (pre-1986) 52, 909.

  • Heilbron, D. (1994). Zero-altered and other regression models for count data with added zeros. Biometrical Journal, 36, 531–547.

    Google Scholar 

  • Hemlin, S. (2009). Creative knowledge environments: an interview study with group members and group leaders of university and Industry R&D groups in biotechnology. Creativity and Innovation Management, 18, 278–285.

    Google Scholar 

  • Hemlin, S., Allwood, C. M., & Martin, B. R. (2004). Creative knowledge environments: the influences on creativity in research and innovation. Cheltenham: Edward Elgar.

    Google Scholar 

  • Hemlin, S., Allwood, C. M., & Martin, B. R. (2008). Creative knowledge environments. Creativity Research Journal, 20, 196–210.

    Google Scholar 

  • Henderson, R., Jaffe, A. B., & Trajtenberg, M. (1998). Universities as a source of commercial technology: a detailed analysis of university patenting, 1965-1988. The Review of Economics and Statistics, 80, 119–128.

    Google Scholar 

  • Henze, I., Van Driel, J., & Verloop, N. (2007). Science teachers’ knowledge about teaching models and modelling in the context of a new syllabus on public understanding of science. Research in Science Education, 37, 99–122.

    Google Scholar 

  • Hormiga, E., de Saá-Pérez, P., Díaz-Díaz, N. L., Ballesteros-Rodríguez, J. L., & Aguiar-Diaz, I. (2017). The influence of entrepreneurial orientation on the performance of academic research groups: the mediating role of knowledge sharing. The Journal of Technology Transfer, 42(1), 10–32.

    Google Scholar 

  • Janger, J., Schubert, T., Andries, P., Rammer, C., & Hoskens, M. (2017). The EU 2020 innovation indicator: a step forward in measuring innovation outputs and outcomes? Research Policy, 46(1), 30–42.

    Google Scholar 

  • Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34, 1–12.

    Google Scholar 

  • Lawson, C. (2013). Academic patenting: the importance of industry support. The Journal Technology Transfer, 38, 509–535.

    Google Scholar 

  • Lundvall, B. A. (1992). National systems of innovation: an analytical framework. London: Pinter.

    Google Scholar 

  • Marozau, R., Guerrero, M., & Urbano, D. (2016). Impacts of universities in different stages of economic development. Journal of the Knowledge Economy, Advanced online publication. https://doi.org/10.1007/s13132-016-0359-7.

  • Miyata, Y. (2000). An empirical analysis of innovative activity of universities in the United States. Technovation, 20, 413–425.

    Google Scholar 

  • Nelson, R. R. (Ed.). (1993). National innovation systems: a comparative analysis. New York and London: Oxford University Press.

    Google Scholar 

  • Olmos-Peñuela, J., Castro-Martínez, E., & D’Este, P. (2014). Knowledge transfer activities in social sciences and humanities: explaining the interactions of research groups with non-academic agents. Research Policy, 43(4), 696–706.

    Google Scholar 

  • Owen-Smith, J., & Powell, W. (2003). The expanding role of university patenting in the life sciences: assessing the importance of experience and connectivity. Research Policy, 32, 1695–1711.

    Google Scholar 

  • Payne, A., & Siow, A. (2003). Does federal research funding increase university research output? Advances in Economic Analysis & Policy, 3, 1018.

    Google Scholar 

  • Powell, W. W., & Owen-Smith, J. (1998). Universities and the market for intellectual property in the life sciences. Journal of Policy Analysis and Management, 17, 253–277.

    Google Scholar 

  • Ramos-Vielba, I., Sánchez-Barrioluengo, M., & Woolley, R. (2016). Scientific research groups’ cooperation with firms and government agencies: motivations and barriers. The Journal of Technology Transfer, 41, 558–585.

    Google Scholar 

  • Rizzo, U., & Ramaciotti, L. (2014). The determinants of academic patenting by Italian universities. Technology Analysis and Strategic Management, 26, 469–483.

    Google Scholar 

  • Romano, M., Del Giudice, M., & Nicotra, M. (2014). Knowledge creation and exploitation in Italian universities: the role of internal policies for patent activity. Journal of Knowledge Management, 18(5), 952–970.

    Google Scholar 

  • Saragossi, S., & Van Pottelsberghe, B. (2003). What patent data reveal about universities: the case of Belgium. Journal of Technology Transfer, 28, 47–51.

    Google Scholar 

  • Skrondal, A., & Rabe-Hesketh, S. (2008). Multilevel and related models for longitudinal data. In J. D. Leeuw & E. Meijer (Eds.), Handbook of multilevel analysis (pp. 275–299). New York: Springer.

    Google Scholar 

  • Stephan, P. E., Gurmu, S., Sumell, A. J., & Black, G. (2007). Who’s patenting in the university? Evidence from the survey of doctorate recipients. Economics of Innovation & New Technology, 16, 71–99.

    Google Scholar 

  • Tartari, V., & Breschi, S. (2012). Set them free: scientists’ evaluations of the benefits and costs of university–industry research collaboration. Industrial and Corporate Change, 21(5), 1117–1147.

    Google Scholar 

  • Vabo, A., Alvsvåg, A., Kyvik, S., & Reymert, I. (2016). The establishment of formal research groups in higher education institutions. Nordic Journal of Studies in Educational Policy, 2(2–3), 1–11.

    Google Scholar 

  • Van Zeebroeck, N., Van Pottelsberghe, B., & Guellec, D. (2008). Patents and academic research: a state of the art. Journal of Intellectual Capital, 9(2), 246–263.

    Google Scholar 

  • Villani, E., Rasmussen, E., & Grimaldi, R. (2017). How intermediary organizations facilitate university–industry technology transfer: a proximity approach. Technological Forecasting and Social Change, 114, 86–102.

    Google Scholar 

  • Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses (pp. 307–333). Econometrica: Journal of the Econometric Society.

    Google Scholar 

  • Weckowska, D. M., Molas-Gallart, J., Tang, P., Twigg, D., Castro-Martínez, E., Kijeńska-Dąbrowska, I., Libaers, D., Debackere, K., & Meyer, M. (2018). University patenting and technology commercialization–legal frameworks and the importance of local practice. R&D Management, 48(1), 88–108.

    Google Scholar 

  • Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993). Toward a theory of organizational creativity. Academy of Management Review, 18, 293–321.

    Google Scholar 

  • Wooldridge, J. M. (2003). Introductory econometrics (2nd ed.). Mason Ohio: South-Western.

    Google Scholar 

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Acknowledgements

The authors are very grateful to two anonymous reviewers for constructive and insightful comments on earlier versions of this paper.

Funding

This research is supported by a grant from the Spanish Ministry of Economy, Industry and Competitiveness (ECO2016-79436-R).

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Correspondence to Manuel Acosta.

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Acosta, M., Coronado, D., León, M.D. et al. The Production of Academic Technological Knowledge: an Exploration at the Research Group Level. J Knowl Econ 11, 1003–1025 (2020). https://doi.org/10.1007/s13132-019-0586-9

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