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Cited by 1,630

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Sustainable business model innovation: A review

Open access
Geissdoerfer, Martin, Vladimirova, Doroteya, Evans, Steve·2018·Journal of Cleaner Production

Abstract

The capability to rapidly and successfully move into new business models is an important source of sustainable competitive advantage and a key leverage to improve the sustainability performance of organisations. However, research suggests that many business model innovations fail. Despite the importance of the topic, the reasons for failure are relatively unexplored, and there is no comprehensive review of the sustainable business model innovation literature. This research provides a review of the literature, using a systematic database search and cross-reference snowballing. Its key contributions are: (1) a review of the key underlying concepts, discussing their similarities and differences and offer new definitions where there is an identified need; (2) we identify a research gap; and (3) we deduct research questions to address the gap.

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Crossref · 10.1016/j.jclepro.2018.06.240

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Metadata

Authors
Geissdoerfer, M., Vladimirova, D., & Evans, S.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2018-10
Volume
198
Pages
401-416
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2810801192
Cited by
1,630
References
121
FWCI
157.96
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Sustainable business model innovation: A review. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.06.240
The paper
Geissdoerfer, M., Vladimirova, D., & Evans, S. (2018). Sustainable business model innovation: A review. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.06.240

Data sources

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.