AI · PRISMA systematic literature review and qualitative synthesis using public-value management, resource-based view, and TOE frameworks; included empirical and conceptual studies.
AI adoption and diffusion in public administration: A systematic literature review and future research agenda
Government Information Quarterly · 2023
Summary
Technology–organization–environment variables and absorptive capacity influence adoption; relevant tensions include fairness, transparency, privacy, and human rights across the AI innovation lifecycle.
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Possible founder application
Use TOE and absorptive-capacity categories to map enterprise blockers, and make governance, privacy, transparency, and stakeholder legitimacy explicit product requirements rather than afterthoughts.
Reported result
What the study found
Technology–organization–environment variables and absorptive capacity influence adoption; relevant tensions include fairness, transparency, privacy, and human rights across the AI innovation lifecycle.
Research question
What the authors investigated
What contextual factors influence AI adoption and diffusion in public administration, and what tensions arise across implementation and diffusion?
Design
PRISMA systematic literature review and qualitative synthesis using public-value management, resource-based view, and TOE frameworks; included empirical and conceptual studies.
Sample and setting
73 publications (66% journal articles, 34% conference proceedings), focused on public organizations and primarily machine learning and NLP applications.
Scope and transfer
Limitations to keep in view
The review includes conceptual as well as empirical work and is scoped to public administration, ML/NLP, English-language work after 2010; transfer to private B2B settings requires caution.
Research sources
Publisher abstract, methodology, and results state the 73-publication corpus, review method, scope, factors, and tensions. Firecrawl research job 01a14366-d263-71d0-bc44-b95482987b7b returned this citation and metadata.