An Artificial Intelligence Maturity Model for the Public Sector: A Design Science Approach

Abstract This article presents the development of an artificial intelligence maturity model (AIMM), specifically tailored for public sector organizations to assess their readiness for AI adoption. Using design science methodology, the research synthesizes insights from academic literature and expert consultations to propose a comprehensive AIMM. Through iterative development and expert feedback, the study refines a model that categorizes AI maturity across eight dimensions. The model’s validity is assessed through expert evaluations and questionnaires, confirming its relevance and utility in guiding public organizations toward effective AI adoption. This research contributes to the theoretical and practical understanding of AI implementation in the public sector, addressing unique challenges such as procurement models, legal compliance, and organizational capabilities.

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Publication Details

Journal
TalTech journal of European studies/TalTech journal of European studies.
Published
2024-11-28
DOI
https://doi.org/10.2478/bjes-2024-0023
Citations
3
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.59
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article

An Artificial Intelligence Maturity Model for the Public Sector: A Design Science Approach

Juhani Lemmik, Richard Dreyling, Tanel Tammet, Ingrid Pappel
3 citations
TalTech journal of European studies/TalTech journal of European studies.
Big Data and Business Intelligence
1.59
article

An Artificial Intelligence Maturity Model for the Public Sector: A Design Science Approach

Juhani Lemmik, Richard Dreyling, Tanel Tammet, Ingrid Pappel
article en
3 citations

Abstract

Abstract This article presents the development of an artificial intelligence maturity model (AIMM), specifically tailored for public sector organizations to assess their readiness for AI adoption. Using design science methodology, the research synthesizes insights from academic literature and expert consultations to propose a comprehensive AIMM. Through iterative development and expert feedback, the study refines a model that categorizes AI maturity across eight dimensions. The model’s validity is assessed through expert evaluations and questionnaires, confirming its relevance and utility in guiding public organizations toward effective AI adoption. This research contributes to the theoretical and practical understanding of AI implementation in the public sector, addressing unique challenges such as procurement models, legal compliance, and organizational capabilities.

TalTech journal of European studies/TalTech journal of European studies.Vol. 14(2)
Tallinn University of Technology (EE)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Big Data and Business Intelligence
1.59
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