Are We Ready for Artificial Intelligence? Comparative Causal Relationship of Origins Variables and Local Policy Implications

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dc.contributor.authorGürsoy, Sergen
dc.date.accessioned2026-01-24T12:01:15Z
dc.date.available2026-01-24T12:01:15Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThis study aims to reveal the causal relationship between the stated value of 174 countries' readiness for artificial intelligence and its origin variables, to obtain asymmetric results and to identify local context-specific results. The method of the research is fsQCA (fuzzy-set Qualitative Comparative Analysis). According to the general findings, it has been determined that the presence/high level of all the condition variables for preparation for artificial intelligence is absolutely necessary and sufficient in the set-theoretical context. On the other hand, using the advantage of asymmetric findings, it was determined that the absence of DI and RE is absolutely necessary in the theoretical sense, while the other conditions are sufficient. According to the configuration findings, it has been determined that AI readiness is not dependent on a single variable but is determined by a combination of various factors according to the local context for countries.
dc.identifier.endpage421
dc.identifier.issn2651-5318
dc.identifier.issue1
dc.identifier.startpage409
dc.identifier.trdizinid1319046
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1319046
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4122
dc.identifier.volume10
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJournal of emerging economies and policy (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260121
dc.subjectArtificial Intelligence
dc.subjectHuman Capital
dc.subjectDigital Infrastructure
dc.subjectLabor Economics and Industrial Relations
dc.titleAre We Ready for Artificial Intelligence? Comparative Causal Relationship of Origins Variables and Local Policy Implications
dc.typeArticle

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