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http://bura.brunel.ac.uk/handle/2438/32949| Title: | Aligning Socio-Technical Systems: Rethinking AI Adoption and Digital Transformation in SMEs |
| Authors: | Amanollahnejad, A Fosso-Wamba, S Shabbir, MS Pakseresht, A |
| Keywords: | artificial intelligence;socio-technical systems theory;SMEs |
| Issue Date: | 7-Jan-2026 |
| Publisher: | Taylor and Francis |
| Citation: | Amanollahnejad, A. et al. (2026) 'Aligning Socio-Technical Systems: Rethinking AI Adoption and Digital Transformation in SMEs', Information Systems Management, 0 (ahead of print), pp. 1–15. doi: 10.1080/10580530.2025.2612175. |
| Abstract: | This study examines how SMEs adopt AI using a qualitative design informed by Socio-Technical Systems Theory. The findings indicate that AI adoption is shaped by the interaction of technical constraints, organizational routines, and external pressures such as client expectations and policy uncertainty. Leadership engagement, data infrastructure, and workforce dynamics play a central role in influencing implementation progress. The study provides practical guidance for supporting more context-sensitive and adaptive approaches to AI-enabled transformation in SMEs. |
| Description: | Supplemental material: Supplemental data for this article can be accessed online at https://ndownloader.figstatic.com/files/60856876 . |
| URI: | https://bura.brunel.ac.uk/handle/2438/32949 |
| DOI: | https://doi.org/10.1080/10580530.2025.2612175 |
| ISSN: | 1058-0530 |
| Other Identifiers: | ORCiD: Albert Amanollahnejad https://orcid.org/0000-0003-4258-6794 ORCiD: Ashkan Pakseresht https://orcid.org/0000-0002-4421-521X |
| Appears in Collections: | Department of Strategy, Entrepreneurship and Management Research Papers * |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2026 The Author(s). Published with license by Taylor & Francis Group, LLC.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the AcceptedManuscript in a repository by the author(s) or with their consent. | 1.47 MB | Adobe PDF | View/Open |
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