From Antecedents to Outcomes: A Structured Literature Review on AI Implementation in Public Sector Organizations

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dc.contributor.authorHenk, Anastasiya
dc.contributor.authorHenk, Oliver
dc.date.accessioned2024-12-26T21:05:59Z
dc.date.available2024-12-26T21:05:59Z
dc.date.issued2025-01-07
dc.description.abstractThis paper provides a comprehensive review of the literature on the AI implementation in the public sector. Using the ADO framework, it analyzes the antecedents, decisions, and outcomes of an implementation of AI. In particular, the review identifies key drivers for the adoption of AI, such as technological advancements, policy directives, and the need for efficiency and transparency. Decision-making processes include the selection of the right policies, technologies, and work practices. Finally, the outcomes show an effect on the workforce, socio-economic benefits, services offered, trust, and policy-formulations. As such, the paper contributes to a greater theoretical understanding of an AI implementation in the public sector and highlights the current gaps in the literature. Practically, it offers insights and proposes a framework that will be useful for both policymakers and practitioners aiming to implement AI effectively in public sector organizations.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.228
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other4313a9e1-b67f-45a3-b65f-1f84636e62ff
dc.identifier.urihttps://hdl.handle.net/10125/109068
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI in Government
dc.subjectartificial intelligence, implementation process, literature review, public sector
dc.titleFrom Antecedents to Outcomes: A Structured Literature Review on AI Implementation in Public Sector Organizations
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage1840

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