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Cited by 384

The DOI matches its Crossref record; 133 of the 133 references it cites were found in a registry or an index.

Towards Circular Business Models: A systematic literature review on classification frameworks and archetypes

Open access
Rosa, Paolo, Sassanelli, Claudio, Terzi, Sergio·2019·Journal of Cleaner Production
DOI 10.1016/j.jclepro.2019.117696
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Abstract

Abstract Since many years, companies are trying to cope with impressive technological growth rates, severe environmental issues and even more restrictive national and international directives. However, innovative Business Models (BMs) and industrial strategies adequate to this new context are still either under development or implementation. To this aim, the article proposes a systematic literature review on existing Circular Business Models (CBMs) and their classification methods, by selecting the most promising ones. A total amount of 283 articles related with CBMs has been assessed into detail, by identifying: 5 archetypes, 9 classification methods, 5 adoption-oriented challenges, 4 decision-support tools and 3 additional research areas. Key findings demonstrate that: i) Product-Service Systems (PSSs)-oriented and Reuse, Remanufacturing and Recycling (3R)-based CBMs are the most common archetypes, ii) Business Model Canvas is the most diffused classification framework, iii) sustainability and company-based challenges are the most discussed by the experts and iv) sustainability check-oriented is the most common type of decision-support tools. These (and others) results could support both companies, researchers and governments in updating the current knowledge on CBMs and make them adoptable for practitioners from different industrial contexts.

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Metadata

Authors
Rosa, P., Sassanelli, C., & Terzi, S.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-11
Volume
236
Pages
117696
ISSN
0959-6526 (ISSN-L)
DOI
10.1016/j.jclepro.2019.117696
OpenAlex
W2962028013
Cited by
384
References
133
FWCI
9.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Towards Circular Business Models: A systematic literature review on classification frameworks and archetypes. https://app.cochat.ai/papers/10.1016/j.jclepro.2019.117696
The paper
Rosa, P., Sassanelli, C., & Terzi, S. (2019). Towards Circular Business Models: A systematic literature review on classification frameworks and archetypes. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.117696

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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.