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Evolution, roots and influence of the literature on National Systems of Innovation: a bibliometric account

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  • Aurora A. C. Teixeira

Abstract

The literature on the National Systems of Innovation (NSI) is a relatively new field of research that has spread remarkably in the past 20 years. This article offers a complementary, quantitative description of the state-of-the-art of the literature based on bibliometric methods, by explicitly addressing the roots, evolution and influence of NSI literature. The exercise shows that over time the rate of published articles was quite irregular and that contributions on NSI have not (yet) converged to an integrated analytical framework. Although historically detailed descriptions on NSI showed a noticeable increase in the more recent period (2006–2010) analyses using more formal and diversified quantitative methodologies for assessing the performance of NSI remained lacking, reflecting its persisting methodological weaknesses. The roots of the NSI literature can be found at the core of innovation studies by certain well-known scholars in the area of economics of innovation and science policy research. Even though publications on NSI are falling in relative importance and are highly concentrated on a small set of countries (United Kingdom, Denmark, and the United States), their influence is global. They are cited by authors affiliated in organisations around the world, notably in Latin America and Asia. Such an influence goes far beyond the area of innovation studies and has resonated in fields such as economic geography, environmental studies, international business and managerial sciences. This demonstrates that the NSI literature is not self-referential.

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  • Aurora A. C. Teixeira, 2014. "Evolution, roots and influence of the literature on National Systems of Innovation: a bibliometric account," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(1), pages 181-214.
  • Handle: RePEc:oup:cambje:v:38:y:2014:i:1:p:181-214.
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    File URL: http://hdl.handle.net/10.1093/cje/bet022
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    Cited by:

    1. Yutao Sun & Cong Cao, 2020. "The dynamics of the studies of China’s science, technology and innovation (STI): a bibliometric analysis of an emerging field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1335-1365, August.
    2. Lima, Pedro G. & Teixeira, Pedro N. & Silva, Sandra T., 2021. "Major Streams in the Economics of Inequality: A Qualitative and Quantitative Analysis of the Literature since 1950s," IZA Discussion Papers 14777, Institute of Labor Economics (IZA).
    3. 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).
    4. Roncancio-Marin, Jason & Dentchev, Nikolay & Guerrero, Maribel & Díaz-González, Abel & Crispeels, Thomas, 2022. "University-Industry joint undertakings with high societal impact: A micro-processes approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    5. Sidra Salam & Aslan Amat Senin, 2022. "A Bibliometric Study on Innovative Behavior Literature (1961–2019)," SAGE Open, , vol. 12(3), pages 21582440221, July.
    6. Santos, Antonio Bob, 2015. "Open Innovation research: trends and influences – a bibliometric analysis," MPRA Paper 67648, University Library of Munich, Germany.
    7. Yutao Sun & Seamus Grimes, 2016. "The emerging dynamic structure of national innovation studies: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 17-40, January.
    8. 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.
    9. Thanos Fragkandreas, 2023. "Case study research on innovation systems: paradox, dialectical analysis and resolution," Working Papers 65, Birkbeck Centre for Innovation Management Research, revised 15 May 2023.
    10. Sandro Mendonca & Hugo Confraria & Manuel Mira Godinho, 2021. "Appropriating the returns of patent statistics: Take-up and development in the wake of Zvi Griliches," SPRU Working Paper Series 2021-07, SPRU - Science Policy Research Unit, University of Sussex Business School.
    11. Renuga Nagarajan & Aurora A. C. Teixeira & Sandra Silva, 2017. "The Impact Of Population Ageing On Economic Growth: A Bibliometric Survey," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(02), pages 275-296, June.
    12. Proksch, Dorian & Haberstroh, Marcus Max & Pinkwart, Andreas, 2017. "Increasing the national innovative capacity: Identifying the pathways to success using a comparative method," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 256-270.
    13. Michael P. Schlaile & Sophie Urmetzer & Vincent Blok & Allan Dahl Andersen & Job Timmermans & Matthias Mueller & Jan Fagerberg & Andreas Pyka, 2017. "Innovation Systems for Transformations towards Sustainability? Taking the Normative Dimension Seriously," Sustainability, MDPI, vol. 9(12), pages 1-20, December.
    14. Albuquerque, Eduardo da Motta e & Chaves, Catari Vilela & Dos Santos, Ulisses Pereira & Ribeiro, Leonardo Costa, 2020. "Innovation systems and changes in the core-periphery divide: notes on a methodology to determine countries’ trajectories using science and technology statistics," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
    15. Aurora A. C. Teixeira & Luís Carvalho, 2014. "Where Are the Poor in Mainstream International Economics?," Poverty & Public Policy, John Wiley & Sons, vol. 6(3), pages 215-238, September.
    16. Ana Teresa Tavares-Lehmann & Celeste Varum, 2021. "Industry 4.0 and Sustainability: A Bibliometric Literature Review," Sustainability, MDPI, vol. 13(6), pages 1-15, March.
    17. Rhiannon Pugh & Jana Schmutzler & Alexandra Tsvetkova, 2021. "Taking the systems approaches out of their comfort zones: Perspectives from under explored contexts," Growth and Change, Wiley Blackwell, vol. 52(2), pages 608-620, June.
    18. Tânia Pinto & Aurora A. C. Teixeira, 2020. "The impact of research output on economic growth by fields of science: a dynamic panel data analysis, 1980–2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 945-978, May.

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