Please use this identifier to cite or link to this item: http://dspace.univ-temouchent.edu.dz/handle/123456789/4052
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dc.contributor.authorBengana, Ismail-
dc.contributor.authorNgozi Adeleye, Bosede-
dc.contributor.authorSi Mohammed, Kamel-
dc.contributor.authorElnour Salim, Eltahir Ibrahim-
dc.contributor.authorSemlal, Yahdih-
dc.contributor.authorElrayah, Musaddag-
dc.date.accessioned2024-05-28T08:30:38Z-
dc.date.available2024-05-28T08:30:38Z-
dc.date.issued2023-
dc.identifier.issn2197-5523-
dc.identifier.urihttp://dspace.univ-temouchent.edu.dz/handle/123456789/4052-
dc.description.abstractHuman capital development and artificial intelligence (AI) are two interconnected concepts that are rapidility gaining traction globally. Thus, this study further examines the relationship between human capital (HC) and economic performance (GDP) using the Artificial Neural Network (ANN) methods to forecast how the GDP would respond to human capital development in Saudi Arabia in the context of Vision 2030. From our findings, GDP plays a major part in establishing a reliable examination with anticipated human capital growth. These results have significant consequences, including comparing the better predictive accuracy of artificial neural network (ANN) studies versus conventional models. Finally, this study offers worldwide policymakers, decision-makers, and company executives insights.en_US
dc.publisherJournal of Namibian Studiesen_US
dc.subjectHuman capital; Economic Growth; Artificial Intelligence; Saudi Arabia.en_US
dc.titleArtificial Intelligence, Human Capital Development And Economic Performance In Saudi Arabia (1990-2019)en_US
Appears in Collections:Département des sciences financières et comptabilité



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