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A Method for Identifying Actors in a Knowledge Based Cluster

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  • Magnus Holmen
  • Staffan Jacobsson

Abstract

The objective of the paper is to develop a method through which we can identify the actors (industrial, institutional and individual) who are active in technology development in the same or similar knowledge fields. The paper is, thus, aimed to make a methodological contribution to the literature, which has emerged on the systemic nature of innovation. The method involves broadening out from a starting point in a specific patent class, which corresponds as closely as possibly to the technological area of interest, to a set of related patent classes by using co-classifications and citations. After close scrutiny of both patent classes and patents, the actors in the new classes, as well as in the original class, are then identified. We try out the method on radio wave antennas for communication technology in Sweden. We find a range of firms and other actors in a whole set of industries, which bear little relation to one another in an input-output sense. Although we cannot ascertain the extent of linkages or relations between these actors, our hypothesis is that they constitute a cluster around radio wave antenna technology in Sweden.

Suggested Citation

  • Magnus Holmen & Staffan Jacobsson, 2000. "A Method for Identifying Actors in a Knowledge Based Cluster," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(4), pages 331-352.
    • Handle: RePEc:taf:ecinnt:v:9:y:2000:i:4:p:331-352
    DOI: 10.1080/10438590000000013
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    References listed on IDEAS

    as
    1. Acs,Zoltan J. & Carlsson,Bo & Karlsson,Charlie (ed.), 1999. "Entrepreneurship, Small and Medium-Sized Enterprises and the Macroeconomy," Cambridge Books, Cambridge University Press, number 9780521621052, October.
    2. Bent Dalum & Keld Laursen & Gert Villumsen, 1996. "The Long Term Development of OECD Export Specialisation Patterns: De-specialisation and "Stickiness"," DRUID Working Papers 96-14, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
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    Cited by:

    1. Bergek, Anna & Jacobsson, Staffan & Carlsson, Bo & Lindmark, Sven & Rickne, Annika, 2008. "Analyzing the functional dynamics of technological innovation systems: A scheme of analysis," Research Policy, Elsevier, vol. 37(3), pages 407-429, April.

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    More about this item

    Keywords

    Inter-industry relations; knowledge spillovers and overlaps; patents; interdependence; J.E.L. Classification O32; O33; R10;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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