Tabas, A.M. orcid.org/0000-0001-5672-9851, Kansheba, J.M., Fubah, C.N. orcid.org/0000-0001-6709-3393 et al. (1 more author) (2026) From awareness to ecosystemic transformation: how artificial intelligence enables firms' transition to a circular economy. Business Strategy and the Environment. e71564. ISSN: 0964-4733
Abstract
Artificial intelligence (AI) has the potential to aid firms' transition toward a circular economy (CE). However, empirical research on how small and medium-sized enterprises use AI to support this transition is limited. Using the Gioia methodology, we analyze 25 in-depth, semi-structured interviews with top managers of companies within a local ecosystem. The findings reveal a five-stage pathway through which companies use AI in transitioning to a CE: circular awareness and reflection, lean optimization, partial circularity, organizational CE strategic embeddedness, and CE (eco)systemic shift. These stages represent an evolutionary process, with the first stage indicating limited use of AI and the final stage full AI integration. Companies in our sample were unable to reach the fourth and fifth stages (representing the highest integration levels). Our research extends CE and digital transformation literature by revealing how AI adoption shapes firms' strategic, operational, and ecosystemic shifts toward circularity and ecosystem collaboration.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Author(s). Business Strategy and the Environment published by ERP Environment and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | artificial intelligence; circular economy; circular ecosystems; circular transitions; small and medium-sized enterprise |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
| Date Deposited: | 25 Sep 2026 12:00 |
| Last Modified: | 25 Sep 2026 12:00 |
| Status: | Published online |
| Publisher: | Wiley |
| Refereed: | Yes |
| Identification Number: | 10.1002/bse.71564 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:245930 |

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