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Innovation system policy analysis through system dynamics modelling: A systematic review

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  • Mauricio Uriona
  • Sara S (Saartjie) Grobbelaar

Abstract

In this article, we conduct a systematic literature review of past system dynamics (SD) simulation models of innovation systems (IS). By systematically reviewing fifty-four studies we present the current state-of-the-art of SD modelling applications in the IS domain. Our main results show there are four main IS policy areas where SD have been used, namely: (1) R&D policies, (2) innovation diffusion policies, (3) science and technology policies, and (4) regional agglomeration policies. Most of the studies have explored assumptions, hypotheses, and policy at the conceptual/theoretical level and can be characterized to be mostly exploratory modelling tools. We conclude by reflecting on theoretical and policy implications of these studies.

Suggested Citation

  • Mauricio Uriona & Sara S (Saartjie) Grobbelaar, 2019. "Innovation system policy analysis through system dynamics modelling: A systematic review," Science and Public Policy, Oxford University Press, vol. 46(1), pages 28-44.
    • Handle: RePEc:oup:scippl:v:46:y:2019:i:1:p:28-44.
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    File URL: http://hdl.handle.net/10.1093/scipol/scy034
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    Citations

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    Cited by:

    1. Borges, Cosme P. & Silberg, Timothy R. & Uriona-Maldonado, Mauricio & Vaz, Caroline R., 2023. "Scaling actors’ perspectives about innovation system functions: Diffusion of biogas in Brazil," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    2. Borges, Cosme P. & Sobczak, Jéssica C. & Silberg, Timothy R. & Uriona-Maldonado, Mauricio & Vaz, Caroline R., 2021. "A systems modeling approach to estimate biogas potential from biomass sources in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    3. Maruccia, Ylenia & Solazzo, Gianluca & Del Vecchio, Pasquale & Passiante, Giuseppina, 2020. "Evidence from Network Analysis application to Innovation Systems and Quintuple Helix," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    4. Akhil Kunche & Bożena Mielczarek, 2021. "Application of System Dynamic Modelling for Evaluation of Carbon Mitigation Strategies in Cement Industries: A Comparative Overview of the Current State of the Art," Energies, MDPI, vol. 14(5), pages 1-22, March.
    5. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    6. George Mgendi & Mao Shiping & Cheng Xiang, 2019. "A Review of Agricultural Technology Transfer in Africa: Lessons from Japan and China Case Projects in Tanzania and Kenya," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    7. 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.
    8. Zhen Chen, 2021. "Research on the Innovation Imbalance Between Coastal and Inland Port Cities Along the Belt and Road: Based on the Three Helix Theory," SAGE Open, , vol. 11(1), pages 21582440219, February.

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