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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-24666
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dc.contributor.authorNeumann, Oliver-
dc.contributor.authorGuirguis, Katharina-
dc.contributor.authorSteiner, Reto-
dc.date.accessioned2022-03-29T09:10:18Z-
dc.date.available2022-03-29T09:10:18Z-
dc.date.issued2024-
dc.identifier.issn1471-9037de_CH
dc.identifier.issn1471-9045de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/24666-
dc.description.abstractDespite 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.de_CH
dc.language.isoende_CH
dc.publisherTaylor & Francisde_CH
dc.relation.ispartofPublic Management Reviewde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectAIde_CH
dc.subjectArtificial intelligencede_CH
dc.subjectPublic organizationde_CH
dc.subjectTOE frameworkde_CH
dc.subjectTechnology adoptionde_CH
dc.subjectPublic administrationde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc350: Öffentliche Verwaltungde_CH
dc.titleExploring artificial intelligence adoption in public organizations : a comparative case studyde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Management and Lawde_CH
zhaw.organisationalunitInstitut für Verwaltungs-Management (IVM)de_CH
dc.identifier.doi10.1080/14719037.2022.2048685de_CH
dc.identifier.doi10.21256/zhaw-24666-
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end141de_CH
zhaw.pages.start114de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume26de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedW: Spitzenpublikationde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Management and Law

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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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