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

Mauricio Uriona and Sara S (Saartjie) Grobbelaar

Science and Public Policy, 2019, vol. 46, issue 1, 28-44

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.

Keywords: systems of innovation; innovation policy; system dynamics; literature review (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://hdl.handle.net/10.1093/scipol/scy034 (application/pdf)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oup:scippl:v:46:y:2019:i:1:p:28-44.

Access Statistics for this article

Science and Public Policy is currently edited by Nicoletta Corrocher, Jeong-Dong Lee, Mireille Matt and Nicholas Vonortas

More articles in Science and Public Policy from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().