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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
Published in: Public Management Review
Issue Date: 2022
Publisher / Ed. Institution: Taylor & Francis
ISSN: 1471-9037
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.
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

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