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Cited by 1,691

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges

Open access
Smith, Adrian, Voß, Jan-Peter, Grin, John·2010·Research Policy

Abstract

Sustainable development is prompting a re-assessment of innovation and technological change. This review paper contributes three things towards this re-assessment activity. First, it considers how the history of innovation studies for sustainable development can be explained as a process of linking broader analytical frameworks to successively larger problem framings. Second it introduces an emerging framework whose allure rests in its ability to capture the bigger picture: the multi-level perspective on socio-technical transitions (MLP). Whilst burgeoning researcher networks and literature suggests this policy-relevant theory is attractive, it is not without its challenges. The third purpose of this paper is to elaborate these challenges as areas for further research and development. We do this by drawing upon contributions to this special section and the wider literature.

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Metadata

Authors
Smith, A., Voß, J.-P., & Grin, J.
Venue
Research Policy
Publisher
Elsevier BV
Published
2010-05
Volume
39
Issue
4
Pages
435-448
ISSN
0048-7333 (ISSN-L)
OpenAlex
W2059527695
Cited by
1,691
References
6
FWCI
55.15
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges. https://app.cochat.ai/papers/10.1016/j.respol.2010.01.023
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Smith, A., Voß, J.-P., & Grin, J. (2010). Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges. Research Policy. https://doi.org/10.1016/j.respol.2010.01.023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.