Exploring artificial intelligence adoption in public organizations: a comparative case study
Oliver Neumann, Katharina Guirguis, Reto Steiner
University of Lausanne ZHAW Zurich University of Applied Sciences
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摘要与影响
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.
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经济 / 管理Big Data and Business Intelligence
Ethics and Social Impacts of AI · E-Government and Public Services
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