Please use this identifier to cite or link to this item: http://dspace.univ-temouchent.edu.dz/handle/123456789/4052
Title: Artificial Intelligence, Human Capital Development And Economic Performance In Saudi Arabia (1990-2019)
Authors: Bengana, Ismail
Ngozi Adeleye, Bosede
Si Mohammed, Kamel
Elnour Salim, Eltahir Ibrahim
Semlal, Yahdih
Elrayah, Musaddag
Keywords: Human capital; Economic Growth; Artificial Intelligence; Saudi Arabia.
Issue Date: 2023
Publisher: Journal of Namibian Studies
Abstract: Human 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.
URI: http://dspace.univ-temouchent.edu.dz/handle/123456789/4052
ISSN: 2197-5523
Appears in Collections:Département des sciences financières et comptabilité



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