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State of the art on the Systems of Innovation research: a bibliometrics study up to 2009

Author

Listed:
  • Mauricio Uriona-Maldonado

    (Federal University of Santa Catarina
    Duke University)

  • Raimundo N. M. Santos

    (Federal University of Pernambuco)

  • Gregorio Varvakis

    (Federal University of Santa Catarina)

Abstract

Over the last decades there has been a growing interest on developing research and formulating public policy by using the Innovation Systems approach. However, as evidenced on the academic literature there is a lack of systematic, chronological and synthesizing studies indicating how this field has evolved over time. This paper has as main objective to consolidate the state of the art of academic research on IS, based on a bibliometrics study on literature published over the past 35 years. The results are discussed under the following perspectives: general results, chronological distribution, author relevance, articles and cited references of relevance, journals relevance and institutions and countries relevance. The paper ends with a discussion of the main implications and limitations of the study.

Suggested Citation

  • Mauricio Uriona-Maldonado & Raimundo N. M. Santos & Gregorio Varvakis, 2012. "State of the art on the Systems of Innovation research: a bibliometrics study up to 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 977-996, June.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-012-0653-5
    DOI: 10.1007/s11192-012-0653-5
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. David Doloreux & Jose Gaviria de la Puerta & Iker Pastor-López & Igone Porto Gómez & Borja Sanz & Jon Mikel Zabala-Iturriagagoitia, 2019. "Territorial innovation models: to be or not to be, that’s the question," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1163-1191, September.
    2. 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.
    3. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    4. Youliang Huang & Mingquan Zhou & Qingqiong Deng & Juan Zhang & Pengbo Zhou & XianGang Shang, 2015. "Bibliometric analysis for the literature of traditional Chinese medicine in PubMed," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 557-566, October.
    5. Dahesh, Mehran Badin & Tabarsa, Gholamali & Zandieh, Mostafa & Hamidizadeh, Mohammadreza, 2020. "Reviewing the intellectual structure and evolution of the innovation systems approach: A social network analysis," Technology in Society, Elsevier, vol. 63(C).
    6. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.
    7. Souzanchi Kashani, Ebrahim & Roshani, Saeed, 2019. "Evolution of innovation system literature: Intellectual bases and emerging trends," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 68-80.

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    More about this item

    Keywords

    Innovation Systems; Systems of Innovation; Bibliometrics;
    All these keywords.

    JEL classification:

    • B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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