Exploring artificial intelligence adoption in public organizations
A comparative case study
Bibliographic Data
| ID | 21723622 |
|---|---|
| Authors | Oliver Neumann (0000-0002-0988-9729, University of Lausanne), Katharina Guirguis (0000-0003-3250-007X, Zurich University of Applied Sciences, corresponding author), Reto Steiner (0000-0003-0260-3094, Zurich University of Applied Sciences) |
| Year | 2024 |
| Volume | 26 |
| Issue | 1 |
| Pages | 114-141 |
| Publication date | 2024-01-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Management Review (JOURNAL) |
| Journal identifiers | ISSN: 1471-9037 • E-ISSN: 1471-9045 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/14719037.2022.2048685 |
| OpenAlex | W4220889533 |
| Language | EN |
| Citations received | 80 |
| References cited | 91 |
Despite the enormous potential of artificial intelligence (AI), many public organizations struggle to adopt this technology. Simultaneously, empirical research on what determines successful AI adoption in public settings remains scarce. Using the technology organization environment (TOE) framework, we address this gap with a comparative case study of eight Swiss public organizations. Our findings suggest that the importance of technological and organizational factors varies depending on the organization’s stage in the adoption process, whereas environmental factors are generally less critical. Accordingly, this study advances our theoretical understanding of the specificities of AI adoption in public organizations throughout the different adoption stages
Business · Knowledge management · Political science · Public relations · Sociology · Big Data and Business Intelligence · Computer Science · E-Government and Public Services · Ethics and Social Impacts of AI · Psychology
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Good governance as a response to discontents? Déjà vu, or lessons for AI from other emerging technologies
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Public Service Motivation
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Developing and Testing an Integrative Framework for Open Government Adoption in Local Governments
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Agile
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Algorithmization of Bureaucratic Organizations
Characteristics of Innovation and Innovation Adoption in Public Organizations
Human–AI Interactions in Public Sector Decision Making
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Artificial intelligence, bureaucratic form, and discretion in public service
The agency of algorithms
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| Unique citing works | 80 |
|---|---|
| Citations per year | 20 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 67 |