From Paper Flips to Data Scripts: - A Case Study on Public Sector AI Implementation
(2025) BUSN79 20251Department of Business Administration
- Abstract
- Key words: Artificial Intelligence, AI Readiness, Implementation, Public Administration, Digitalization, Public Value.
Purpose: This study investigates the Swedish Tax Agency's AI readiness across technical, organizational, and environmental dimensions. It also examines whether adoption is driven by rational decision-making or institutional pressures. The research questions are: (1) does the Tax Agency demonstrate readiness for AI implementation? and (2) what is the underlying rationale guiding the Tax Agency‘s AI implementation?
Methodology: A qualitative case study was conducted, combining a literature review with semi-structured interviews, internal documents, and online sources. Data was categorized using a conceptual framework.... (More) - Key words: Artificial Intelligence, AI Readiness, Implementation, Public Administration, Digitalization, Public Value.
Purpose: This study investigates the Swedish Tax Agency's AI readiness across technical, organizational, and environmental dimensions. It also examines whether adoption is driven by rational decision-making or institutional pressures. The research questions are: (1) does the Tax Agency demonstrate readiness for AI implementation? and (2) what is the underlying rationale guiding the Tax Agency‘s AI implementation?
Methodology: A qualitative case study was conducted, combining a literature review with semi-structured interviews, internal documents, and online sources. Data was categorized using a conceptual framework.
Theoretical perspectives: The study applies a public-sector AI readiness framework covering six domains; Data; Technology; Organization; People; Environment; and Public Values. This is combined with theories from economics, innovation diffusion, and sociology.
Empirical foundation: Based on five interviews with agency staff, supported by internal and public documents.
Conclusions: The agency shows high readiness in Technology, Organization, and Environment domains. Challenges include data sharing, citizen trust, and explainability. Adoption is primarily driven by rational considerations, with limited institutional influence. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9203495
- author
- Grönkvist, Otto LU and Ogenborg, Markus LU
- supervisor
- organization
- course
- BUSN79 20251
- year
- 2025
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Artificial Intelligence, AI Readiness, Implementation, Public Administration, Digitalization, Public Value.
- language
- English
- id
- 9203495
- date added to LUP
- 2025-06-26 11:11:15
- date last changed
- 2025-06-26 11:11:15
@misc{9203495,
abstract = {{Key words: Artificial Intelligence, AI Readiness, Implementation, Public Administration, Digitalization, Public Value.
Purpose: This study investigates the Swedish Tax Agency's AI readiness across technical, organizational, and environmental dimensions. It also examines whether adoption is driven by rational decision-making or institutional pressures. The research questions are: (1) does the Tax Agency demonstrate readiness for AI implementation? and (2) what is the underlying rationale guiding the Tax Agency‘s AI implementation?
Methodology: A qualitative case study was conducted, combining a literature review with semi-structured interviews, internal documents, and online sources. Data was categorized using a conceptual framework.
Theoretical perspectives: The study applies a public-sector AI readiness framework covering six domains; Data; Technology; Organization; People; Environment; and Public Values. This is combined with theories from economics, innovation diffusion, and sociology.
Empirical foundation: Based on five interviews with agency staff, supported by internal and public documents.
Conclusions: The agency shows high readiness in Technology, Organization, and Environment domains. Challenges include data sharing, citizen trust, and explainability. Adoption is primarily driven by rational considerations, with limited institutional influence.}},
author = {{Grönkvist, Otto and Ogenborg, Markus}},
language = {{eng}},
note = {{Student Paper}},
title = {{From Paper Flips to Data Scripts: - A Case Study on Public Sector AI Implementation}},
year = {{2025}},
}