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Method for Identifying Actors in a Knowledge Based Cluster

Author

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  • Magnus Holmén
  • Staffan A 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 can not 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 Holmén & Staffan A Jacobsson, 1998. "Method for Identifying Actors in a Knowledge Based Cluster," DRUID Working Papers 98-26, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    • Handle: RePEc:aal:abbswp:98-26
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    References listed on IDEAS

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    1. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    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.
    3. Grupp, Hariolf, 1996. "Spillover Effects and the Science Base of Innovations Reconsidered: An Empirical Approach," Journal of Evolutionary Economics, Springer, vol. 6(2), pages 175-197, May.
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    Cited by:

    1. Waśniewski, Krzysztof, 2010. "Patterns of technological progress and corporate innovation," MPRA Paper 25186, University Library of Munich, Germany.
    2. Carlsson, Bo & Jacobsson, Staffan & Holmen, Magnus & Rickne, Annika, 2002. "Innovation systems: analytical and methodological issues," Research Policy, Elsevier, vol. 31(2), pages 233-245, February.
    3. Maria LOREK, 2009. "Système de production local en transition : état et marché le cas de Gdansk (Pologne) (Transition of local production systems: state and market the case of gdansk region)," Working Papers 222, Laboratoire de Recherche sur l'Industrie et l'Innovation. ULCO / Research Unit on Industry and Innovation.

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    More about this item

    Keywords

    knowledge-based clusters; indicators; patents; similar and complementary technologies; horisontal linkages; knowledge spillovers; actors;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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