Circular economy business models: The state of research and avenues ahead
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This study investigates how the circular economy and business models are related in the current business and management literature. Based on bibliometric analytical procedures, 253 articles were retrieved from the Scopus, Web of Science, and ScienceDirect scientific databases. The articles were analyzed according to network analysis principles, and key terms were mapped into a network. We used VOSviewer to build the network, explore the most‐researched terms and their relationships, and identify less‐explored terms and research gaps. We furthermore conducted a qualitative review of selected publications to provide an illustration of quantitative results and delve deeper into the research topics. The main findings revealed the networks of current topics as they appear in the publications such as business models, the circular economy, circular business models, value, supply chain, transition, resource, waste, and reuse, and their most prevalent relationships. The results also highlighted several emerging topics such as those connected with managerial, supply‐side, demand‐side, networking, performance, and contextual considerations of circular business models.
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Sustainable outcomes require business models in which the revenue logic rewards lifetime performance rather than volume-based turnover.
“Sustainable outcomes require business models in which the revenue logic rewards lifetime performance rather than volume-based turnover (Kirchherr et al. 2017;Ferasso et al. 2020).”
From Integrating Life Cycle Assessment, Monetised Externalities and Value Alignment for Strategic Reconfiguration of Circular Business Models: The Case of Smartphones (2026) · cites this paper as Ferasso et al. 2020
The Introduction says circular-economy models often move toward long-life solutions and that renting, leasing, or subscriptions might become more frequent. It does not say sustainable outcomes require revenue tied to lifetime performance rather than sales volume; the claim turns a possible shift into a requirement and adds a contrast the paper does not make. (LLM, conf=0.86)
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- Authors
- Ferasso, M., Beliaeva, T., Kraus, S., Clauss, T., & Ribeiro‐Soriano, D.
- Affiliations
- Community University of Chapecó Region - Unochapecó (BR)
- Kedge Business School (FR)
- Durham University (GB)
- Witten/Herdecke University (DE)
- IUDESCOOP Universitat de Valencia Valencia Spain
- Corresponding author
- Kraus, Sascha
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2020-06-21
- Volume
- 29
- Issue
- 8
- Pages
- 3006-3024
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W3036899478
- Cited by
- 588
- References
- 8
- Citations by year
- 2026: 72 · 2025: 98 · 2024: 114 · 2023: 111 · 2022: 103 · 2021: 74 · 2020: 16
- FWCI
- 81.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Business Strategy and the Environment (publishedVersion, cc-by)
- Durham Research Online (Durham University) (acceptedVersion, other-oa)
- Durham Research Online (Durham University) (submittedVersion, cc-by)
- HAL (submittedVersion)
- Repository of Digital Objects for Teaching Research and Culture (University of Valencia) (submittedVersion, cc-by-nc)
- Open Research (University of Surrey) (submittedVersion, other-oa)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
- Keywords
- circular economy, business models, circular business models, research gaps, supply chain, resource management, value creation, networking, performance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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