The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/dce4b7c2-2392-4d0a-9ae9-ce744843d59e

Sirait, Emyana; Zuiderwijk-van Eijk, Anneke; M.F.W.H.A. (Marijn) Janssen (2024): Dataset of Systematic Literature Review on AI in the public sector . Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/dce4b7c2-2392-4d0a-9ae9-ce744843d59e.v2

Dataset

x choose version: version 1 - 2024-06-17

• Policy and Administration
• Studies in Human Society

Artificial Intelligence, public sector, readiness, Systematic Literature Review

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Emyana Sirait , Anneke Zuiderwijk , M.F.W.H.A. (Marijn) Janssen

This study develops a conceptual framework containing specific factors influencing governments’ readiness to implement AI. The framework comprises factors concerning data, technology, people, organization, environment, and public values. Through a systematic literature review synthesizing 42 articles, we identified 18 generic factors, 21 AI-specific factors, and 14 AI/government-specific factors. We conclude that readiness factors change throughout the stages of AI use in government, as the stage of planning and developing AI in government organizations is associated with readiness factors different from the stage of implementing AI in government.

• 2024-06-17 first online

• 2024-06-20 published, posted

4TU.ResearchData

*.xlsx

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems & Services