Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Power of Believing: The Impact of Organizing Visions on Public Sector AI Adoption
Swedish Center for Digital Innovation, University of Gothenburg, Sweden; The Swedish Social Insurance Agency, Stockholm, Sweden.ORCID iD: 0000-0002-8578-8188
Swedish National Road and Transport Research Institute, Society, environment and transport, Traffic analysis and logistics. Swedish Center for Digital Innovation, University of Gothenburg, Sweden.ORCID iD: 0000-0003-3554-2267
Swedish Center for Digital Innovation, University of Gothenburg, Sweden.ORCID iD: 0000-0002-9258-8117
2025 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper examines how the Swedish Social Insurance Agency leverages organizing visions, i.e., focal communal ideas concerning information technology (IT), to drive change and facilitate the shift towards a broader use of AI within the public sector and beyond. The research was performed as a longitudinal, exploratory case study drawing on data from a variety of sources including interviews, documents and official records as well as social media posts. The study’s contribution consists of addressing a gap in the understanding of the discourse-driven reciprocal relationship between AI adoption, and transformation of institutions and norms. Our findings show, in practice, how AI-related organizing visions contribute to mitigation of legislative barriers thus allowing for a transformative expansion of how government agencies can operate and utilize citizens data in algorithmic bureaucracy. Surprisingly, organizing visions’ influence appears to be unrelated to actual validated beneficial outcomes from AI adoption.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Artificial intelligence, AI adoption, organizing vision, public administration, policy development
National Category
Public Administration Studies Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:vti:diva-22623OAI: oai:DiVA.org:vti-22623DiVA, id: diva2:2061281
Conference
17th Mediterranean Conference on Information Systems, (MCIS 2025), Nantes, France, October 2-4, 2025.
Available from: 2026-05-20 Created: 2026-05-20 Last updated: 2026-05-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Full proceedings, this paper is titled paper 13

Authority records

Rudmark, Daniel

Search in DiVA

By author/editor
Molin, AntonioRudmark, DanielKoutsikouri, Dina
By organisation
Traffic analysis and logistics
Public Administration StudiesInformation Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf