From the Shallows to the Shelves and Back
A Review, Synthesis, and Research Agenda for Socially Sustainable, AI ‐Driven Digital Fashion Supply Chains
Bibliographic Data
| ID | 21259273 |
|---|---|
| Authors | Guli‐Sanam Karimova (0000-0002-0777-6771, Vienna University of Economics and Business, corresponding author), Stephen A LeMay (0000-0001-5520-5407, University of West Florida), Alina Müller (University of Göttingen), Matthias Klumpp (0000-0002-7543-2751, University of Göttingen) |
| Year | 2026 |
| Volume | 35 |
| Issue | 2 |
| Pages | 1230-1246 |
| Publication date | 2026-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Business Ethics, the Environment & Responsibility (JOURNAL) |
| Journal identifiers | ISSN: 2694-6416 • E-ISSN: 2694-6424 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/beer.12839 |
| OpenAlex | W4410929304 |
| Language | EN |
| References cited | 68 |
The fashion supply chain is undergoing a transformation driven by AI, with significant implications for social sustainability and ethics. This study examines how AI‐powered innovations optimize supply chain operations, enhance transparency, and support ethical labor practices. Through a systematic literature review, we identify key challenges and opportunities, emphasizing the role of AI in fostering circular economy models, responsible sourcing, and stakeholder collaboration. Our findings propose a research agenda centered on policy frameworks, technological advancements, and ethical AI governance. This study contributes to the discourse on socially sustainable and ethical AI adoption in fashion supply chains, offering insights for researchers and industry leaders
Advertising · Business · Clothing · Fast fashion · Industrial organization · Political science · Supply chain · Digital Economy and Work Transformation · Digital Transformation in Industry · Sustainable Supply Chain Management · Marketing
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| Highly cited | No |
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