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

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dc.contributor.authorUba, Chikaodi
dc.contributor.authorLewandowski, Tom
dc.contributor.authorBöhmann, Tilo
dc.date.accessioned2022-12-27T19:21:01Z
dc.date.available2022-12-27T19:21:01Z
dc.date.issued2023-01-03
dc.description.abstractArtificial 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.extent10
dc.identifier.doi10.24251/HICSS.2023.743
dc.identifier.isbn978-0-9981331-6-4
dc.identifier.otherb6b70cca-ea6d-4692-bd18-a2200949f4a2
dc.identifier.urihttps://hdl.handle.net/10125/103377
dc.language.isoeng
dc.relation.ispartofProceedings of the 56th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPractice-based IS Research
dc.subjectai transformation
dc.subjectartificial intelligence
dc.subjectmulti-case study
dc.subjectpractice-based is research
dc.titleThe AI-based Transformation of Organizations: The 3D-Model for Guiding Enterprise-wide AI Change
dc.type.dcmitext
prism.startingpage6129

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