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

dc.contributor.author Denford, James
dc.contributor.author Dawson, Gregory S.
dc.contributor.author Desouza, Kevin
dc.date.accessioned 2023-12-26T18:37:42Z
dc.date.available 2023-12-26T18:37:42Z
dc.date.issued 2024-01-03
dc.identifier.isbn 978-0-9981331-7-1
dc.identifier.other 9c764df4-9ab7-404d-930c-4fb41273a48a
dc.identifier.uri https://hdl.handle.net/10125/106610
dc.language.iso eng
dc.relation.ispartof Proceedings of the 57th 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 AI in Government
dc.subject artificial intelligence
dc.subject content analysis
dc.subject cross-cultural study
dc.subject public sector
dc.subject qualitative comparative analysis
dc.title National AI Strategic Plans for the Public versus Private Sectors: A Cross-Cultural Configurational Analysis
dc.type Conference Paper
dc.type.dcmi Text
dcterms.abstract We 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.extent 10 pages
prism.startingpage 1840
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