From Readiness to Public Value: Modelling AI Adoption in Sweden’s Decentralised Municipal System
2026 (English)In: Companion Proceedings of the 18th IFIP Working Conference on the Practice of Enterprise Modeling: PoEM Forum, Doctoral Consortium, Business Case & Tool Forum, Workshops (PoEM-C 2025) co-located with PoEM 2025 / [ed] Saïd Assar; Georgios Koutsopoulos; Jolita Ralyté; Jelena Zdravkovic; Hans-Georg Fill; Yves Wautelet, Aachen: RWTH Aachen University , 2026, article id 70Conference paper, Published paper (Refereed)
Abstract [en]
Sweden’s decentralised municipal structure creates a complex setting for digital transformation. Despite national strategies promoting artificial intelligence (AI), adoption remains uneven across municipalities due to regulatory uncertainty, budget limitations, and ethical concerns. This study investigates how technological, organisational, and contextual factors influence AI adoption and how municipalities manage trust and transparency. Drawing on the Technology–Organisation–Environment (TOE) framework and Public Value Management (PVM) theory, data were collected through a survey of municipal officials and analysed using descriptive statistics, regression modelling, and thematic analysis. Findings show leadership support as the strongest enabler, while inadequate infrastructure, unclear legal frameworks, and low public trust hinder progress. Limited budgets further restrict implementation, though collaboration and shared learning present underused opportunities. The study highlights the importance of strategic leadership, transparent governance, and inter-municipal cooperation to promote trustworthy and sustainable AI adoption in local government.
Place, publisher, year, edition, pages
Aachen: RWTH Aachen University , 2026. article id 70
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 4171
Keywords [en]
Artificial Intelligence, public value, public value management (PVM), decentralised governance, Technology–Organisation–Environment (TOE) framework, technology adoption, Sweden
National Category
Information Systems, Social aspects Artificial Intelligence
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-252938OAI: oai:DiVA.org:su-252938DiVA, id: diva2:2042046
Conference
18th IFIP Working Conference on the Practice of Enterprise Modeling (PoEM-C 2025), Geneva, Switzerland, December 3-5, 2025
2026-02-262026-02-262026-03-04Bibliographically approved