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The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

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  • Loet Leydesdorff

    (University of Amsterdam)

  • Martin Meyer

    (University of Sussex)

Abstract

We distinguish between an internal differentiation of science and technology that focuses on instrumentalities and an external differentiation in terms of the relations of the knowledge production process to other social domains, notably governance and industry. The external contexts bring into play indicators and statistical techniques other than publications, patents, and citations. Using regression analysis, for example, one can examine the importance of knowledge and knowledge spill-over for economic development. The relations can be expected to vary among nations and regions. The field-specificity of changes is emphasized as a major driver of the research agenda. In a knowledge-based economy, institutional arrangements can be considered as support structures for cognitive developments.

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  • Loet Leydesdorff & Martin Meyer, 2007. "The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(2), pages 207-222, February.
    • Handle: RePEc:spr:scient:v:70:y:2007:i:2:d:10.1007_s11192-007-0200-y
    DOI: 10.1007/s11192-007-0200-y
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    References listed on IDEAS

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    6. Leydesdorff, Loet & Dolfsma, Wilfred & Van der Panne, Gerben, 2006. "Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'," Research Policy, Elsevier, vol. 35(2), pages 181-199, March.
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    Cited by:

    1. Fischer, Bruno Brandão & Schaeffer, Paola Rücker & Vonortas, Nicholas S., 2019. "Evolution of university-industry collaboration in Brazil from a technology upgrading perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 330-340.
    2. Swapan Kumar Patra & Mammo Muchie, 2018. "Research and innovation in South African universities: from the triple helix’s perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 51-76, July.
    3. Irina Dezhina & V. Kiseleva, 2008. "State, Science and Business in Russia's Innovation System," Research Paper Series, Gaidar Institute for Economic Policy, issue 115P.
    4. Therese Kennelly Okraku & Raffaele Vacca & James W. Jawitz & Christopher McCarty, 2017. "Identity and publication in non-university settings: academic co-authorship and collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 401-416, April.
    5. Mladen Djuric & Marina Dobrota & Jovan Filipovic, 2020. "Complexity-based quality indicators for human and social capital in science and research: the case of Serbian Homeland versus Diaspora," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 303-328, July.
    6. Aurora A. C. Teixeira & Luisa Mota, 2012. "A bibliometric portrait of the evolution, scientific roots and influence of the literature on university–industry links," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 719-743, December.
    7. Peter Nijkamp & Karima Kourtit & Henk Scholten & Esmeralda Willemsen, 2023. "Citizen Participation and Knowledge Support in Urban Public Energy Transition—A Quadruple Helix Perspective," Land, MDPI, vol. 12(2), pages 1-17, February.
    8. Lola García-Santiago & Felix Moya-Anegón, 2009. "Using co-outlinks to mine heterogeneous networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 681-702, June.
    9. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
    10. Yong-Gil Lee, 2012. "Strengthening competency linkage to innovation at Korean universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 219-230, January.
    11. Nicolas Battard, 2012. "Convergence and multidisciplinarity in nanotechnology: Laboratories as technological hubs," Post-Print hal-01514795, HAL.
    12. Elena Castro-Martínez & Fernando Jiménez-Sáez & Francisco Javier Ortega-Colomer, 2009. "Science and technology policies: A tale of political use, misuse and abuse of traditional R&D indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 827-844, September.
    13. 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.
    14. JinHyo Joseph Yun & Zheng Liu, 2019. "Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model," Sustainability, MDPI, vol. 11(12), pages 1-17, June.
    15. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    16. Elio Atenógenes Villaseñor & Ricardo Arencibia-Jorge & Humberto Carrillo-Calvet, 2017. "Multiparametric characterization of scientometric performance profiles assisted by neural networks: a study of Mexican higher education institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 77-104, January.
    17. Marina van Geenhuizen, 2018. "A framework for the evaluation of living labs as boundary spanners in innovation," Environment and Planning C, , vol. 36(7), pages 1280-1298, November.

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