Abstract
Previous research about firms’ perceptions on the usefulness of public research has not distinguished between technological innovators and non-innovators. With the exception of openness of search, we find that factors shaping such perceptions differ in both types of firms. Non-innovators need market power and the presence of an R&D department to profit from public knowledge. Innovators need less sheltered environments and lesser R&D effort, though the availability of resources and absorptive capacity is necessary. Using a sample of 1,031 Spanish manufacturing firms, we conclude that practical experience in technological innovation enhances firms’ perceptions on the usefulness of public research, not directly but by enabling certain internal changes, i.e. it produces encounters between corporate choices and public research.
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Notes
The label ‘searching’ would thus apply to information search both specifically referred to U-PROs and to other sources of information, namely those that reflect the openness of the firm.
Unlikely other studies (Amara and Landry 2005; Mention 2010; Varis and Littunen 2010) we do not use these company responses to approximate the objective influence of different sources of information. Less ambitious, although arguably more realistic, our approach assumes that firms’ responses indicate the perceived usefulness of information for the innovative activities of the company.
As in some previous studies, our data also include non-university public research organisations. These institutions accounted for 18% of total expenditure on R&D in 2008 while universities provided 27 %.
For the sake of robustness, we checked the results with ordered probit models and they were identical.
The number of observations drops compared to Table 2 because of the missing values.
References
Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user perceptions in information technology adoption. Decision Support Systems, 22, 15–29.
Amara, N., & Landry, R. (2005). Sources of information as determinants of novelty of innovation in manufacturing firms: Evidence from the 1999 statistics Canada innovation survey. Technovation, 25, 245–259.
Arvanitis, S., Sydow, N., & Woerter, M. (2008). Do specific forms of university-industry knowledge transfer have different impacts on the performance of private enterprises? An empirical analysis based on Swiss firm data. Journal of Technology Transfer, 33, 504–533.
Asheim, B. T., & Isaksen, A. (2002). Regional Innovation Systems: The integration of local ‘sticky’ and global ‘ubiquitous’ knowledge. Journal of Technology Transfer, 27, 77–86.
Audretsch, D. B., & Lehmann, E. E. (2004). Mansfield’s missing link: The impact of knowledge spillovers on firm growth. Journal of Technology Transfer, 30(1), 207–210.
Beneito, P. (2002). Technological patterns among Spanish manufacturing firms. Entrepreneurial & Regional Development, 14, 89–115.
Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of Consumer Research, 12(1), 1–16.
Busom, I., & Fernández-Ribas, A. (2008). The impact of firm participation in R&D programmes on R&D partnerships. Research Policy, 37, 240–257.
Cassiman, B., & Veugelers, R. (2002). R&D cooperation and spillovers: Some empirical evidence from Belgium. American Economic Review, 92(4), 1169–1184.
Christensen, J. L., Rama, R., & von Tunzelmann, N. (1996). Study on innovation in the European food products and beverages industry. EIMS/SPRINT Brussels: European Commission.
Cohen, W. M. (1995). Empirical studies of innovative activity. In P. Stoneman (Ed.), Handbook of the economics of innovation and technological change. Oxford: Blackwell.
Cohen, W. M., & Levinthal, D. A. (1989). Innovation and learning: The two faces of R&D. Economic Journal, 99, 569–596.
Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science, 48(1), 1–23.
Cooke, P. (2002). Regional innovation systems: General findings and some new evidence from biotechnology clusters. Journal of Technology Transfer, 27, 133–145.
Czarnizki, D., Hussinger, K., & Schneider, C. (2011). The nexus between science and industry: Evidence from faculty inventions. Journal of Technology Transfer. doi:10.1007/s10961-011-9214-y.
Decter, M., Bennet, D., & Leseure, M. (2007). University to business technology transfer—UK and USA comparisons. Technovation, 27, 145–155.
Dosi, G., Teece, D., & Winter, S. G. (1992). Toward a theory of corporate coherence: preliminary remarks. In G. Dosi, R. Giannetti, & P. A. Toninelli (Eds.), Technology and enterprise in a historical perspective (pp. 185–211). Oxford: Clarendon Press.
EUROSTAT. (2010). Science, technology and innovation in Europe. Luxembourg: European Commission.
Fiet, J. O., & Patel, P. C. (2008). Entrepreneurial discovery and constrained, systematic search. Small Business Economics, 30, 215–229.
Foss, N. J. (1998). The resource-based perspective: An assessment and diagnosis of problems. Scandinavian Journal of Management, 14(3), 133–149.
Kolb, D. A. (1984). Experiential learning. Experience as a source of learning and development. New Jersey: Prentice Hall.
Laursen, K., & Salter, A. (2004). Searching high and low: What types of firms use universities as a source of innovation. Research Policy, 33, 1201–1215.
Levinthal, D. A., & March, J. G. (1981). A model of adaptive organizational search. Journal of Economic Behavior & Organization, 2, 308–333.
Lopez, A. (2008). Determinants of R&D cooperation: Evidence from Spanish manufacturing firms. International Journal of Industrial Organization, 26, 113–136.
Malerba, F. (1992). Learning by firms and incremental technical change. Economic Journal, 102, 845–859.
Mangematin, V., & Mandran, N. (2000). Do non R&D intensive industries benefit from public research spillovers? The case of the agro-food industry. In A. Kleinknecht & P. Monhen (Eds.), Innovation and firm performance. Econometric explorations of survey data (p. 23). Cheltenham: Edward Elgar.
Markides, C. (1997). Strategic innovation. Sloan management review (pp. 9–18). New York: Springer.
Mention, A.-L. (2010). Co-operation and co-opetition as open innovation practices in the service sector: Which influence on innovation novelty? Technovation. doi:10.1016/j.technovation.2010.08.002.
Miotti, L., & Sachwald, F. (2003). Co-operative R&D: Why and whith whom? An integrated framework of analysis. Research Policy, 32, 1481–1499.
Mohnen, P., & Hoareau, C. (2002). What type of enterprise forges close links with universities and governments labs? Evidence from CIS 2. Maastrich (The Netherlands): MERIT-INFONOMICS MERIT-Infonomics Research Memorandum Series.
Mowery, D. C., & Sampat, B. N. (2005). Universities in national innovation systems. In J. Fagerberg, D. C. Mowery, & R. R. Nelson (Eds.), The Oxford handbook of innovation (pp. 209–239). Oxford: Oxford University Press.
Nelson, R., & Winter, S. (1982). An evolutionary theory of economic change. Cambridge. MA: Harvard University Press.
Pavitt, K. (2002). Innovating routines in the business firm: What corporate tasks should they be accomplishing? Industrial and Corporate Change, 11(1), 117–133.
Rapini, M. S., Albuquerque, E. D. M., Chave, C. V., Silva, L. A., Souza, S. G. A., Righi, H. M., et al. (2009). University-industry interactions in an inmature system of innovation: Evidence from Minais Gerais, Brazil. Science and Public Policy, 36(5), 373–386.
Simon, H. (1957). A behavioral model of rational choice”, in models of man, social and rational: mathematical essays on rational human behavior in a social setting. New York: Wiley.
Swann, G. M. P. (2002). Innovative businesses and the science and technology base: An analysis using CIS3 data. Manchester, UK: Report for the Department of Trade and Industry.
Teece, D., Rumelt, R., Dosi, G., & Winter, S. G. (1994). Understanding corporate coherence. Theory and evidence. Journal of Economic Behavior & Organization, 23, 1–30.
Tether, B. S., & Swann, G. M. P. (2003) Sourcing science. The use by industry of the science base for innovation: Evidence from the UK’s innovation survey. International workshop on innovation in Europe: empirical studies on innovation surveys and economic performance. Rome.
Varis, M., & Littunen, H. (2010). Types of innovation, sources of information and performance in entrepreneurial SMES. European Journal of Innovation Management, 13(2), 128–154.
Vega-Jurado, J., Guitiérrez-Garcia, A., & Fernández-de-Lucio, I. (2009). Does external knowledge sourcing matter for innovation? Evidence from the Spanish manufacturing industry. Industrial and Corporate Change, 18(4), 637–670.
Von Tunzelmann, N. (2009). Competencies versus capabilities: A reassessment. Economia Política, XXVI(3), 435–464.
Acknowledgments
The authors acknowledge the financial support provided by Fundación BBVA (Banco Bilbao Vizcaya Argentaria) and CSIC (Consejo Superior de Investigaciones Científicas) project 201010I004. We are also grateful to Jaider Vega-Jurado for his valuable comments to an earlier version, and to two anonymous referees.
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Azagra-Caro, J.M., Pardo, R. & Rama, R. Not searching, but finding: how innovation shapes perceptions about universities and public research organisations. J Technol Transf 39, 454–471 (2014). https://doi.org/10.1007/s10961-012-9297-0
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DOI: https://doi.org/10.1007/s10961-012-9297-0