Abstract
Public procurement plays a pivotal role in public service delivery and strategic governance. Growing demands for its transparency, efficiency, and responsiveness have encouraged the exploration of AI in the public procurement process. AI offers potential benefits, including improved efficiency, enhanced effectiveness, greater automation in transactions, and streamlined supplier management. Despite these benefits, its adoption in public procurement is in its early stages. Existing research has largely focused on the discussion around the potential of AI in procurement processes, whereas limited attention has been paid to the determinants of AI adoption in public procurement. This paper conducts a Systematic Literature Review (SLR) to identify the determinants influencing AI adoption in public procurement. The findings are analysed using the Technology-Organisation-Environment (TOE) framework. The results reveal that organisational determinants vary across the procurement process, while the TOE dimensions differ across stages of the adoption process. Public value also emerges as an important dimension.
Paper Type
Full Paper
DOI
10.62036/ISD.2026.109
A Structured Examination of Artificial Intelligence (AI) Adoption in Public Procurement: Determinants Across Technological, Organisational, and Environmental dimensions
Public procurement plays a pivotal role in public service delivery and strategic governance. Growing demands for its transparency, efficiency, and responsiveness have encouraged the exploration of AI in the public procurement process. AI offers potential benefits, including improved efficiency, enhanced effectiveness, greater automation in transactions, and streamlined supplier management. Despite these benefits, its adoption in public procurement is in its early stages. Existing research has largely focused on the discussion around the potential of AI in procurement processes, whereas limited attention has been paid to the determinants of AI adoption in public procurement. This paper conducts a Systematic Literature Review (SLR) to identify the determinants influencing AI adoption in public procurement. The findings are analysed using the Technology-Organisation-Environment (TOE) framework. The results reveal that organisational determinants vary across the procurement process, while the TOE dimensions differ across stages of the adoption process. Public value also emerges as an important dimension.
Recommended Citation
Roshanzade, T.(2026). A Structured Examination of Artificial Intelligence (AI) Adoption in Public Procurement: Determinants Across Technological, Organisational, and Environmental dimensions. In M. Valenta, B. Mannová, R. Pergl, A. Przybylek, M. Lang, H. Linger, C. Schneider, N. Iivari, & E. Insfran (Eds.), Making ISD Sustainable: Reloaded with AI and Automation (ISD2026 Proceedings). Prague, Czech Republic: Czech Technical University in Prague. ISBN: 978-80-01-07585-2. https://doi.org/10.62036/ISD.2026.109