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https://doi.org/10.21256/zhaw-24666| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Exploring artificial intelligence adoption in public organizations : a comparative case study |
| Authors: | Neumann, Oliver Guirguis, Katharina Steiner, Reto |
| et. al: | No |
| DOI: | 10.1080/14719037.2022.2048685 10.21256/zhaw-24666 |
| Published in: | Public Management Review |
| Volume(Issue): | 26 |
| Issue: | 1 |
| Page(s): | 114 |
| Pages to: | 141 |
| Issue Date: | 2024 |
| Publisher / Ed. Institution: | Taylor & Francis |
| ISSN: | 1471-9037 1471-9045 |
| Language: | English |
| Subjects: | AI; Artificial intelligence; Public organization; TOE framework; Technology adoption; Public administration |
| Subject (DDC): | 006: Special computer methods 350: Public administration |
| Abstract: | 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. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/24666 |
| Fulltext version: | Published version |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | School of Management and Law |
| Organisational Unit: | Institute of Public Management (IVM) |
| Appears in collections: | Publikationen School of Management and Law |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2024_Neumann-etal_Exploring-AI-adoption-in-public-organizations.pdf | Issued Version | 624.12 kB | Adobe PDF |  View/Open |
| 2022_Neumann-etal_Artificial-intelligence-adoption-public-organizations.pdf | Online First Version | 825.78 kB | Adobe PDF |  View/Open |
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Neumann, O., Guirguis, K., & Steiner, R. (2024). Exploring artificial intelligence adoption in public organizations : a comparative case study. Public Management Review, 26(1), 114–141. https://doi.org/10.1080/14719037.2022.2048685
Neumann, O., Guirguis, K. and Steiner, R. (2024) ‘Exploring artificial intelligence adoption in public organizations : a comparative case study’, Public Management Review, 26(1), pp. 114–141. Available at: https://doi.org/10.1080/14719037.2022.2048685.
O. Neumann, K. Guirguis, and R. Steiner, “Exploring artificial intelligence adoption in public organizations : a comparative case study,” Public Management Review, vol. 26, no. 1, pp. 114–141, 2024, doi: 10.1080/14719037.2022.2048685.
NEUMANN, Oliver, Katharina GUIRGUIS und Reto STEINER, 2024. Exploring artificial intelligence adoption in public organizations : a comparative case study. Public Management Review. 2024. Bd. 26, Nr. 1, S. 114–141. DOI 10.1080/14719037.2022.2048685
Neumann, Oliver, Katharina Guirguis, and Reto Steiner. 2024. “Exploring Artificial Intelligence Adoption in Public Organizations : A Comparative Case Study.” Public Management Review 26 (1): 114–41. https://doi.org/10.1080/14719037.2022.2048685.
Neumann, Oliver, et al. “Exploring Artificial Intelligence Adoption in Public Organizations : A Comparative Case Study.” Public Management Review, vol. 26, no. 1, 2024, pp. 114–41, https://doi.org/10.1080/14719037.2022.2048685.
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