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The dynamics of knowledge intensive sectors' knowledge base: evidence from biotechnology and telecommunications

Author

Listed:
  • Jackie Krafft

    () (UNSA - Université de Nice Sophia-Antipolis)

  • Francesco Quatraro

    () (Collegio Carlo Alberto, UNSA - Université de Nice Sophia-Antipolis)

  • Pier Paolo Saviotti

    () (GAEL - Laboratoire d'Economie Appliquée = Grenoble Applied Economics Laboratory - UPMF - Université Pierre Mendès France - Grenoble 2 - INRA - Institut National de la Recherche Agronomique)

Abstract

In this paper, we present a methodology to represent and measure knowledge which takes into account knowledge heterogeneity and its sectoral level theoretical and empirical implications in knowledge intensive environments. We draw on work on recombinant knowledge, extending the approach to include the way the dynamics of technological knowledge creation evolves according to a life cycle; testing the existence of concepts such as technological paradigms; mapping the characteristics of the search process in the phases of exploration and exploitation during this technology life cycle and detecting the differences in sectoral evolution that can be explained by the properties of the knowledge base. We use European Patent Office data (1981–2005) to propose some operational metrics for the knowledge base and its evolution in two knowledge intensive sectors: biotechnology and telecommunications. Our empirical results show that there are interesting and meaningful differences across sectors, which are linked to the different phases of the technology life cycles.

Suggested Citation

  • Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2014. "The dynamics of knowledge intensive sectors' knowledge base: evidence from biotechnology and telecommunications," Post-Print hal-02641295, HAL.
  • Handle: RePEc:hal:journl:hal-02641295
    DOI: 10.1080/13662716.2014.919762
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-02641295
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    Cited by:

    1. Francesco Bogliacino & Mario Pianta, 2016. "The Pavitt Taxonomy, revisited: patterns of innovation in manufacturing and services," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(2), pages 153-180, August.
    2. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    3. Alistair R. Anderson & Jialin Hardwick, 2017. "Collaborating for innovation: the socialised management of knowledge," International Entrepreneurship and Management Journal, Springer, vol. 13(4), pages 1181-1197, December.
    4. Francesco Quatraro, 2016. "Co-evolutionary Patterns in Regional Knowledge Bases and Economic Structure: Evidence from European Regions," Regional Studies, Taylor & Francis Journals, vol. 50(3), pages 513-539, March.
    5. Alessandra Colombelli, 2016. "The impact of local knowledge bases on the creation of innovative start-ups in Italy," Small Business Economics, Springer, vol. 47(2), pages 383-396, August.
    6. Orsatti, Gianluca & Pezzoni, Michele & Quatraro, Francesco, 2017. "Where Do Green Technologies Come From? Inventor Teams’ Recombinant Capabilities and the Creation of New Knowledge," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201711, University of Turin.
    7. Colombelli, Alessandra & Quatraro, Francesco, 2018. "New firm formation and regional knowledge production modes: Italian evidence," Research Policy, Elsevier, vol. 47(1), pages 139-157.
    8. Orsatti, Gianluca & Quatraro, Francesco & Pezzoni, Michele, 2020. "The antecedents of green technologies: The role of team-level recombinant capabilities," Research Policy, Elsevier, vol. 49(3).
    9. Mirna Kordab & Jurgita Raudeliūnienė & Ieva Meidutė-Kavaliauskienė, 2020. "Mediating Role of Knowledge Management in the Relationship between Organizational Learning and Sustainable Organizational Performance," Sustainability, MDPI, Open Access Journal, vol. 12(23), pages 1-20, December.
    10. Ron Boschma, 2018. "The geographical dimension of structural change," Papers in Evolutionary Economic Geography (PEEG) 1839, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Nov 2018.
    11. Franco Malerba & Maureen McKelvey, 2020. "Knowledge-intensive innovative entrepreneurship integrating Schumpeter, evolutionary economics, and innovation systems," Small Business Economics, Springer, vol. 54(2), pages 503-522, February.

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    More about this item

    Keywords

    knowledge base; knowledge intensive sectors; variety; coherence; cognitive distance; technological classes; patent;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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