The AI-based Transformation of Organizations: The 3D-Model for Guiding Enterprise-wide AI Change

dc.contributor.author Uba, Chikaodi
dc.contributor.author Lewandowski, Tom
dc.contributor.author Böhmann, Tilo
dc.date.accessioned 2022-12-27T19:21:01Z
dc.date.available 2022-12-27T19:21:01Z
dc.date.issued 2023-01-03
dc.description.abstract Artificial Intelligence (AI) is increasingly gaining importance for organizations due to its immense potential for value creation and growth. However, companies struggle to tap this potential, as many AI projects fail in the early stages because of lacking guidance and best practices. To shed light on how AI adoption and transformation can be approached and what challenges organizations face, we analyzed eleven organizations of varying sizes and industries. Drawn on these insights, we identify four transformation types distinguished by different AI transformation stages and journeys. Furthermore, we develop a 3D-Model to guide enterprise-wide AI change and propose concrete recommendations for action on each dimension. Our findings help practitioners navigate, manage, and (re)evaluate their AI strategy for an enterprise-wide transformation.
dc.format.extent 10
dc.identifier.doi 10.24251/HICSS.2023.743
dc.identifier.isbn 978-0-9981331-6-4
dc.identifier.uri https://hdl.handle.net/10125/103377
dc.language.iso eng
dc.relation.ispartof Proceedings of the 56th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Practice-based IS Research
dc.subject ai transformation
dc.subject artificial intelligence
dc.subject multi-case study
dc.subject practice-based is research
dc.title The AI-based Transformation of Organizations: The 3D-Model for Guiding Enterprise-wide AI Change
dc.type.dcmi text
prism.startingpage 6129
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