Organizational Challenges in Adoption and Implementation of Artificial Intelligence

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dc.contributor.authorRaftopoulos, Marigo
dc.date.accessioned2023-12-26T18:47:56Z
dc.date.available2023-12-26T18:47:56Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.698
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherb024b9f4-d730-45b4-b123-045ad30dbf46
dc.identifier.urihttps://hdl.handle.net/10125/107083
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th 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.subjectAI, Organizing, and Management
dc.subjectai enablement
dc.subjectartificial intelligence
dc.subjectdigital transformation
dc.subjectstrategic decision-making
dc.titleOrganizational Challenges in Adoption and Implementation of Artificial Intelligence
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractOur investigation into the organisational challenges in the adoption and implementation of artificial intelligence reveals complex dynamics in the interplay between strategic decision-making, implementation, enablement and performance outcomes. We undertook a study of the views of international industry experts on the enablers and barriers of adopting and implementing AI and found five thematic clusters of issues affecting project success and value creation. We contribute to theory development and a conceptual model on navigating organisational adoption and implementation of AI technology.
dcterms.extent10 pages
prism.startingpage5786

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