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The state of innovation system research: What happens beneath the surface?

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  • Rakas, Marija
  • Hain, Daniel S.

Abstract

Since its emergence in the 1980s, the concept of “Innovation Systems” (IS) has inspired research and shaped discussions in academia and policy alike, leading to a cascading development of approaches and extensions at various analytic levels. IS research has expanded far beyond its initial focus by generating new knowledge within but also attracting increased attention from adjacent fields. As a result, the broad understanding of IS and its diversity in applications has resulted in blurry boundaries of the field, making its contemporary delineation, synthesis, and assessment of its progress challenging. Using a combination of data-driven techniques from bibliometrics, natural language processing, and network analysis, this paper maps and analyzes the structure of knowledge production and the process of knowledge integration in current research. We find an overall growing tendency toward increasing diversity in the knowledge bases from which the field draws, accompanied by a decreasing coherence of collective research efforts. We point to the crucial role of institutions and academic entrepreneurs in shaping these developments in interdisciplinary and diverse fields, illustrating this by the role of the Organisation for Economic Co-operation and Development (OECD).

Suggested Citation

  • Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  • Handle: RePEc:eee:respol:v:48:y:2019:i:9:34
    DOI: 10.1016/j.respol.2019.04.011
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    1. Pedro Costa Simões & António Carrizo Moreira & Carlos Mendes Dias, 2020. "Portugal’s Changing Defense Industry: Is the Triple Helix Model of Knowledge Society Replacing State Leadership Model?," Journal of Open Innovation: Technology, Market, and Complexity, MDPI, Open Access Journal, vol. 6(4), pages 1-19, December.
    2. Steffen S. Bettin, 2020. "Electricity infrastructure and innovation in the next phase of energy transition—amendments to the technology innovation system framework," Review of Evolutionary Political Economy, Springer, vol. 1(3), pages 371-395, November.
    3. Zabala-Iturriagagoitia, Jon Mikel & Aparicio, Juan & Ortiz, Lidia & Carayannis, Elias G. & Grigoroudis, Evangelos, 2021. "The productivity of national innovation systems in Europe: Catching up or falling behind?," Technovation, Elsevier, vol. 102(C).
    4. Ghazinoory, Sepehr & Nasri, Shohreh & Ameri, Fatemeh & Montazer, Gholam Ali & Shayan, Ali, 2020. "Why do we need ‘Problem-oriented Innovation System (PIS)’ for solving macro-level societal problems?," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    5. Xiaozan Lyu & Ping Zhou & Loet Leydesdorff, 2020. "Eco-system mapping of techno-science linkages at the level of scholarly journals and fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2037-2055, September.
    6. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.

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    More about this item

    Keywords

    Innovation systems; Bibliometrics; Knowledge bases; Networks; Diversity; Coherence;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General

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