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Cited by 429

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Disruption and low-carbon system transformation: Progress and new challenges in socio-technical transitions research and the Multi-Level Perspective

Open access
Geels, Frank W.·2018·Energy Research & Social Science

Abstract

Abstract This paper firstly assesses the usefulness of Christensen’s disruptive innovation framework for low-carbon system change, identifying three conceptual limitations with regard to the unit of analysis (products rather than systems), limited multi-dimensionality, and a simplistic (‘point source’) conception of change. Secondly, it shows that the Multi-Level Perspective (MLP) offers a more comprehensive framework on all three dimensions. Thirdly, it reviews progress in socio-technical transition research and the MLP on these three dimensions and identifies new challenges, including ‘whole system’ reconfiguration, multi-dimensional struggles, bi-directional niche-regime interactions, and an alignment conception of change. To address these challenges, transition research should further deepen and broaden its engagement with the social sciences.

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Metadata

Authors
Geels, F. W.
Venue
Energy Research & Social Science
Publisher
Elsevier BV
Published
2018-03
Volume
37
Pages
224-231
ISSN
2214-6296 (ISSN-L)
OpenAlex
W2765563949
Cited by
429
References
92
FWCI
22.60
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Disruption and low-carbon system transformation: Progress and new challenges in socio-technical transitions research and the Multi-Level Perspective. https://app.cochat.ai/papers/10.1016/j.erss.2017.10.010
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Geels, F. W. (2018). Disruption and low-carbon system transformation: Progress and new challenges in socio-technical transitions research and the Multi-Level Perspective. Energy Research & Social Science. https://doi.org/10.1016/j.erss.2017.10.010

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.