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Issues in measuring innovation

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  • Gerben Panne

    (Delft University of Technology)

Abstract

Innovation research builds on the analysis of micro level data describing innovative behaviour of individual firms. One increasingly popular type of data are Literature-based Innovation Output (LBIO) data. These are compiled by screening specialist trade journals for new-product announcements. Notwithstanding the substantial advantages, the eligibility of LBIO data for innovation research remains controversial. In this paper the merits of LBIO data are examined by means of comparative analysis. A newly built LBIO database is systematically compared with the widely used Community Innovation Survey. It shows that both databases identify similar innovators in terms of firm size, distribution across industries and degree of innovativeness: LBIO data can be considered a fully fledged alternative to traditional innovation data, highly eligible for innovation research.

Suggested Citation

  • Gerben Panne, 2007. "Issues in measuring innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(3), pages 495-507, June.
    • Handle: RePEc:spr:scient:v:71:y:2007:i:3:d:10.1007_s11192-007-1691-2
    DOI: 10.1007/s11192-007-1691-2
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    References listed on IDEAS

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    1. Alfred Kleinknecht & Kees Van Montfort & Erik Brouwer, 2002. "The Non-Trivial Choice between Innovation Indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 109-121.
    2. Santarelli, Enrico & Piergiovanni, Roberta, 1996. "Analyzing literature-based innovation output indicators: the Italian experience," Research Policy, Elsevier, vol. 25(5), pages 689-711, August.
    3. Flor, M. L. & Oltra, M. J., 2004. "Identification of innovating firms through technological innovation indicators: an application to the Spanish ceramic tile industry," Research Policy, Elsevier, vol. 33(2), pages 323-336, March.
    4. Simon Kuznets, 1962. "Inventive Activity: Problems of Definition and Measurement," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 19-52, National Bureau of Economic Research, Inc.
    5. Alfred Kleinknecht & Jeroen O. N. Reijnen & Wendy Smits, 1993. "Collecting Literature-based Innovation Output Indicators. The Experience in the Netherlands," Palgrave Macmillan Books, in: Alfred Kleinknecht & Donald Bain (ed.), New Concepts in Innovation Output Measurement, chapter 3, pages 42-84, Palgrave Macmillan.
    6. Coombs, R. & Narandren, P. & Richards, A., 1996. "A literature-based innovation output indicator," Research Policy, Elsevier, vol. 25(3), pages 403-413, May.
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    Cited by:

    1. Wilfred Dolfsma & Gerben Velde, 2014. "Industry innovativeness, firm size, and entrepreneurship: Schumpeter Mark III?," Journal of Evolutionary Economics, Springer, vol. 24(4), pages 713-736, September.
    2. Astrid Kander & Josef Taalbi & Juha Oksanen & Karolin Sjöö & Nina Rilla, 2019. "Innovation trends and industrial renewal in Finland and Sweden 1970–2013," Scandinavian Economic History Review, Taylor & Francis Journals, vol. 67(1), pages 47-70, January.
    3. Teemu Makkonen & Robert P. Have, 2013. "Benchmarking regional innovative performance: composite measures and direct innovation counts," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 247-262, January.
    4. Josef Taalbi, 2022. "Long-run patterns in the discovery of the adjacent possible," Papers 2208.00907, arXiv.org, revised Dec 2023.
    5. Morone, Piergiuseppe & Petraglia, Carmelo & Testa, Giuseppina, 2008. "Proximity and Innovation in Italian SMEs," MPRA Paper 13329, University Library of Munich, Germany.
    6. Philippe Bertheau & Claude Roche & Nicolas Dufour, 2015. "Evaluation et valorisation lors de la conception innovante : vers un contrôle de gestion de l'immatériel adapté aux processus d'innovation;," Post-Print hal-01187111, HAL.

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