Abstract
Abstract: Despite the generally acknowledged importance of science in many high-tech areas of major economic relevance, there are no science-related statistics to be found in high-profile international benchmarking reports such as the European Innovation Scoreboard. Why? This chapter aims to provide an answer by advancing our understanding of the possibilities of indicators quantifying linkages between science and technology. Central are the concepts of ‘innovation capability’ and ‘science/technology interface’, which are used to assemble a wide range of empirical studies and quantitative indictors to summarise their possibilities and limitations for producing comparative statistics. The review focuses on indicators dealing with flows of written (‘codified’) information, and indicators of inventiveness that capture the non-codifiable ‘tacit knowledge’ dimension. General conclusions will be drawn with a view towards further developments in the foreseeable future, suggesting new avenues for the design and implementation of patent-based and inventor-based statistics to describe and assess the complex and dynamic web of relationships between scientific research and technical development within the context of regional or national systems of innovation.
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References
Adams, J. (1990). Fundamental stocks of knowledge and productivity growth. Journal of Political Economy, 98, 673–702.
Adams, J., Stephan, P., Sumell, A. (2003). Capturing knowledge: the location decision of new PhDs working in industry. Presentation at the Roundtable for Engineering Entrepreneurship Research, Atlanta: Georgia Institute of Technology, November 2003.
Albert, M., Avery, D., Narin, F. (1991). Direct validation of citation counts as indicators of industrially important patents. Research Policy, 20, 251–259.
Balconi, M., Breschi, S., Lissoni F. (2004). Networks of inventors and the location of university research: an exploration of Italian data. Research Policy, 33, 127–145.
Bozeman, B. (2000). Technology transfer and public policy: a review of research and theory. Research Policy, 29, 627–655.
Brusconi, S., Criscuolo, P., Geuna, A. (2003). The knowledge bases of the world’s largest pharmaceuticals groups: what do the patent citations to non-patent literature reveal? SPRU report, University of Sussex, United Kingdom.
Carpenter, M., Narin, F. (1983). Validation study: patent citations as indicators of science and foreign dependence. World Patent Information, 5, 180–185.
Cohen, W., Nelson, R., Walsh, J. (2002). Links and impacts: the influence of public research on industrial R&D. Management Science, 48, 1–23.
Coombs, R., Hull, R. (1998). Knowledge management practices and path dependency in innovation. Research Policy, 27, 237–253.
EC (2003a). Third European Science and Technology Indicators Report. Brussel: European Commission.
EC (2003b). European Innovation Scoreboard 2003. SEC(2003) 1255, Brussel: European Commission.
Ernst H., Leptien, C., Vitt J. (2000). Inventors are not alike: the distribution of patenting output among industrial R&D personnel. IEEE Transactions on Engineering Management, 47, 184–199.
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, 109–123.
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. Sage, London.
Glänzel, W., Meyer, M. (2003). Patents cited in the scientific literature: an exploratory study of ‘reverse’ citation relations. Scientometrics, 58, 415–428.
Grupp, H., Schmoch, U. (1992). Perceptions of scientification of innovation as measured by referring between patents and papers: dynamics in science-based fields of technology. In: Grupp, H. (Ed.), Dynamics of science-based innovation. Berlin: Springer-Verlag.
Hicks, D. (2000). 360 Degree linkage analysis. Research Evaluation, 9, 133–143.
Hicks, D., Breitzman, T., Olivastro, D., Hamilton, K. (2001), The changing composition of innovative activity in the US–a portrait based on patent analysis. Research Policy, 30, 681–703.
Hagedoorn, J., Link, A., Vonortas, N. (2000). Research Partnerships. Research Policy, 29, 567–586.
Joanneum Research, in cooperation with ZEW and ARCS (2001). Benchmarking industry-science relations: the role of framework conditions. Vienna/Mannheim: Report to the European Commission (DG Enterprise) and the Austrian Federal Ministry of Economy and Labour (www.benchmarking-in-europe.com).
Lawson, M., Kemp, N., Lunch, M., Chowdhury, G. (1996). Automatic extraction of citations from the text of English language patents — an example of template mining. Journal of Information Science, 22, 423–436.
Malo, S., Geuna, A. (2000). Science/technology linkages in an emerging research platform: The case of combinatorial chemistry and biology. Scientometrics, 47, 303–321.
McMillan, G., Narin, F., Leeds, D. (2000). An analysis of the critical role of pubic science in innovation: the case of biotechnology. Research Policy, 29, 1–8.
Meyer, M. (2000a). Does science push technology? Patents citing scientific literature, Research Policy, 29, 409–434.
Meyer, M. (2000b). Patent citations in a novel field of technology — what can they tell about interactions between emerging communities of science and technology? Scientometrics, 48, 151–178.
Meyer, M. (2003). Academic patents as an indicator of useful research? A new approach to measure academic inventiveness. Research Evaluation, 12, 17–27.
Michel, J., Bettels, B. (2001). Patent citation analysis — A closer look at the basic input data from patent search reports. Scientometrics, 51, 185–201.
Mumford, M., Simonton, D. (1997). Creativity in the workplace: people problems and structures. Journal of Creative Behavior, 31, 1–6.
Narin, F., Noma, E. (1985). Is technology becoming science? Scientometrics, 7, 369–381.
Narin, F., Breitzman, A. (1995). Inventive productivity. Research Policy, 24 (4), 507–519.
Narin, F., Hamilton, K., Olivastro, D. (1997). The increasing linkage between US technology and public science. Research Policy, 26, 317–330.
Nelson, R., Winter, S. (1982). An evolutionary theory of economic change. The Belknap Press of Harvard University Press, Cambridge.
Nonaka, I., Takeuchi, H. (1995). The knowledge creating company: how Japanese companies create the dynamics of innovation. New York: Oxford University Press.
NOWT (2004). Science and Technology Indicators 2003 — Summary. Netherlands Observatory of Science and Technology (NOWT), CWTS/MERIT report to the Netherlands Ministry of Education, Culture and Science (see www.nowt.nl).
Noyons, E.C.M, Van Raan, A.F.J., Grupp, H., Schmoch, U. (1994). Exploring the science and technology interface — inventor author relations in laser medicine research. Research Policy, 23, 443–457.
Noyons, E.C.M, Buter, R.K., Van Raan, A.F.J., Schmoch, U., Heinze, T., Hinze, S., Rangnow R. (2003). Mapping excellence in science and technology across Europe — Life Science; — Nanoscience and nanotechnology. CWTS/FhG-ISI reports for EC/DG Research.
NSF (2002) Science and Engineering Indicators 2002. Arlington: National Science Foundation, National Science Board.
OECD (2002a). Benchmarking Industry-Science Relationships. Paris: Organisation for Economic Cooperation and Development.
OECD (2002b). Science, technology and industry outlook. Paris: Organisation for Economic Cooperation and Development.
OECD (2003). Science, technology and industry scoreboard 2003—towards a knowledge-based economy. Paris: Organisation for Economic Cooperation and Development.
Rappa, M., Debackere, K. (1992). Technological communities and the diffusion of knowledge. R&D Management, 22, 209–222.
Salter, A., Martin, B. (2001). The economic benefits of publicly funded basic research: a critical review. Research Policy, 30, 509–532.
Saragossi, S., Van Pottelsberghe de la Potterie, B. (2003). What patent data reveal about universities: the case of Belgium. Journal of Technology Transfer, 18, 47–51.
Schmoch, U. (1993). Tracing the knowledge transfer from science to technology as reflected in patent indicators. Scientometrics, 26, 193–211.
Schmoch, U., Licht, G., Reinhard, M. (2000). Wissens-und Technologietransfer in Deutschland. Stuttgart: Fraunhofer IRB Verlag.
Scott, S., Bruce, R. (1994). Determinants of innovative behavior: a path model of individual innovation in the workplace. Academy of Management Journal, 37, 580–607.
Tijssen, R.J.W., Buter, R.K., Van Leeuwen, Th.N. (2000). Technological relevance of science: validation and analysis of citation linkages between patents and research papers. Scientometrics, 47, 389–412.
Tijssen, R.J.W. (2001). Global and domestic utilization of industrial relevant science: patent citation analysis of science/technology interactions and knowledge flows. Research Policy, 30, 35–54.
Tijssen, R.J.W. (2002). Science dependence of technologies: evidence of inventions and their inventors. Research Policy, 31, 509–526.
Tijssen, R.J.W. (2003a). The knowledge resources of inventions: towards a typology of organizational knowledge creation environments. Presentation at meeting of the INIR Network, Catholic University of Leuven, Belgium, January 2003.
Tijssen, R.J.W. (2003b). Inventiveness by numbers: towards inventors statistics. Invited paper at the WIPO-OECD Workshop on Statistics in the Patent Field, Geneva, Switzerland, September 2003.
Tijssen, R.J.W. (2004a). Is the commercialisation of scientific research affecting the production of public knowledge? Global trends in the output of corporate research articles. Research Policy (forthcoming).
Tijssen, R.J.W. (2004b). De universiteit als verborgen kennisbron: De (on)zichtbaarheid van Nederlandse universitaire co-uitvinders in bedrijfsoctrooien. CWTS report for the Netherlands Ministry of Education, Culture and Science.
Van Vianen, B.G., Moed, H.F., Van Raan, A.F.J. (1990). An exploration of the science base of recent technology. Research Policy, 19, 61–81.
Verbeek, A., Debackere, K., Luwel, M. (2003). Science cited in patents: a geographic ‘flow’ analysis of bibliographic citation patterns in patents. Scientometrics, 58, 241–262.
Verspagen, B. (2004). Rapport over de uitkomsten van het Nederlandse gedeelte van de PatVal enquête onder uitvinders van Europese patented ingediend vanuit Nederland. Report Eindhoven Centre for Innovation Studies, Technical University Eindhoven.
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Tijssen, R.J. (2004). Measuring and Evaluating Science—Technology Connections and Interactions. In: Moed, H.F., Glänzel, W., Schmoch, U. (eds) Handbook of Quantitative Science and Technology Research. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2755-9_32
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DOI: https://doi.org/10.1007/1-4020-2755-9_32
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