Amanollahnejad, Albert ORCID: https://orcid.org/0000-0003-4258-6794, Fosso-Wamba, Samuel, Shabbir, Muhammad ORCID: https://orcid.org/0000-0002-0796-0456 and Pakseresht, Ashkan (2026) Aligning Socio-Technical Systems: Rethinking AI Adoption and Digital Transformation in SMEs. Information Systems Management.

Preview

Text Aligning Socio-Technical Systems Rethinking AI Adoption and Digital Transformation in SMEs.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

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.

Item Type:	Article
Status:	Published
DOI:	10.1080/10580530.2025.2612175
School/Department:	London Campus
URI:	https://ray.yorksj.ac.uk/id/eprint/13753

University Staff: Request a correction | RaY Editors: Update this record