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AI transformation in the public sector: Findings from a case study in Sweden
Department of Computing, School of Engineering, Jönköping University, Gjuterigatan 5, Jönköping, 551 11, Sweden.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Department of Management, University of Vaasa, Vaasa, Finland.ORCID iD: 0000-0003-3255-414X
Department of Computer Science, Faculty of Information Technology and Electrical Engineering, NTNU, Trondheim, Norway; SINTEF Digital, Department of Technology Management, Trondheim, Norway.
Department of Computer Science and Informatics, School of Engineering, Jönköping University, Gjuterigatan 5, Jönköping, 551 11, Sweden.
2026 (English)In: International Journal of Information Management Data Insights, E-ISSN 2667-0968, Vol. 6, no 1, article id 100419Article in journal (Refereed) Published
Abstract [en]

This study advances understanding of Artificial Intelligence transformation (AIT) barriers that hinder value realization in public organizations. We conducted a 1.5-year case study with a medium-sized Swedish municipality, involving active participation in daily work, development of an AI strategy, interviews, and analysis of four AIT cases. Using the Process, People, Technology (PPT) framework as inspiration, we developed a new AIT framework tailored to public sector transformation. Findings show that AI creates barriers but also offers opportunities, particularly as a driver of innovation and organizational effectiveness. Overcoming knowledge gaps, resource constraints, and integration challenges is critical for sustainable AIT. Furthermore, the results demonstrate that different forms of AI-related value manifest through observable outcomes, including resource gains, organizational adaptations, and the development of new citizen services. The study provides practical examples of AI implementation and illustrates the complex balance between barriers and opportunities in organizational change. The proposed AIT framework contributes both theoretically and practically, offering insights into how municipalities can navigate AI-driven transformation successfully.

Place, publisher, year, edition, pages
Elsevier B.V. , 2026. Vol. 6, no 1, article id 100419
Keywords [en]
AI transformation, Public sector, Municipalities, People, Process, Technology, AI barrier, AI opportunities
National Category
Information Systems, Social aspects Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
URN: urn:nbn:se:ltu:diva-117441DOI: 10.1016/j.jjimei.2026.100419Scopus ID: 2-s2.0-105036716586OAI: oai:DiVA.org:ltu-117441DiVA, id: diva2:2058003
Note

Full text: CC BY license;

Available from: 2026-05-06 Created: 2026-05-06 Last updated: 2026-05-06Bibliographically approved

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Parida, Vinit

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