Barriers to the Implementation of AI in Organizations: Findings from a Delphi Study

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dc.contributor.authorBérubé, Mathieu
dc.contributor.authorGiannelia, Tanya
dc.contributor.authorVial, Gregory
dc.date.accessioned2020-12-24T20:23:42Z
dc.date.available2020-12-24T20:23:42Z
dc.date.issued2021-01-05
dc.description.abstractArtificial intelligence (AI), like many technological innovations before it, promises to revolutionize organizations. However, implementing AI in organizations is not as simple as it may appear. This exploratory research aims to unearth barriers to the implementation of AI in organizations. The methodology is based on a ranked-order Delphi study with 18 AI experts. By comparing our results with previous research on barriers to implementation of other information systems and to conceptual and practitioner literature on AI implementation, our findings underscore specific AI implementation challenges for organizations. Barriers to AI implementation fall under three main categories: (1) a lack of organizational capabilities related to data; (2) a lack of individual competencies related specifically to AI; and (3) generic implementation barriers previously observed in implementation research that persist with this innovation.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.805
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71425
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th 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.subjectTopics in Organizational Systems and Technology
dc.subjectartificial intelligence
dc.subjectbarriers
dc.subjectimplementation
dc.subjectranked-order delphi
dc.titleBarriers to the Implementation of AI in Organizations: Findings from a Delphi Study
prism.startingpage6702

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