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

Dreyling Richard (), Lemmik Juhani (), Tammet Tanel () and Pappel Ingrid ()
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Dreyling Richard: Department of Software Science, Tallinn University of Technology Akadeemia tee 15a Tallinn 12618, Estonia
Lemmik Juhani: Department of Software Science, Tallinn University of Technology Akadeemia tee 15a Tallinn 12618, Estonia
Tammet Tanel: Department of Software Science, Tallinn University of Technology Akadeemia tee 15a Tallinn 12618, Estonia
Pappel Ingrid: Department of Software Science, Tallinn University of Technology Akadeemia tee 15a Tallinn 12618, Estonia

TalTech Journal of European Studies, 2024, vol. 14, issue 2, 217-239

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.

Keywords: AIMM; artificial intelligence; design science; maturity model; public sector (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:bjeust:v:14:y:2024:i:2:p:217-239:n:1010

DOI: 10.2478/bjes-2024-0023

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