National AI Strategic Plans for the Public versus Private Sectors: A Cross-Cultural Configurational Analysis

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dc.contributor.authorDenford, James
dc.contributor.authorDawson, Gregory S.
dc.contributor.authorDesouza, Kevin
dc.date.accessioned2023-12-26T18:37:42Z
dc.date.available2023-12-26T18:37:42Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.232
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other9c764df4-9ab7-404d-930c-4fb41273a48a
dc.identifier.urihttps://hdl.handle.net/10125/106610
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 in Government
dc.subjectartificial intelligence
dc.subjectcontent analysis
dc.subjectcross-cultural study
dc.subjectpublic sector
dc.subjectqualitative comparative analysis
dc.titleNational AI Strategic Plans for the Public versus Private Sectors: A Cross-Cultural Configurational Analysis
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractWe use a fuzzy set Qualitative Comparative Analysis (fsQCA) approach to analyze the national Artificial Intelligence (AI) strategic plans of 34 countries. Applying Hofstede's four-dimension cultural model, we find that countries develop their national AI strategic plans around public and private sector policies in a manner that is consistent with their national cultures and, if they only place emphasis on one, it will generally be on industry. We also find that the most critical differentiators between detailed versus limited plan development are task/people orientation and individualism/collectivism, where high collectivism and high task orientation are linked to more detailed national AI plans and policies.
dcterms.extent10 pages
prism.startingpage1840

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