Nermeen Bakheet Aljohani
(Business Administration Department, College of Business Administration, Albaha University, Albaha, SAUDI ARABIA),
Saja Albliwi (Business Administration Department, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, SAUDI ARABIA).
Disciplinary: Business Management.
➤ FullText
doi: 10.14456/ITJEMAST.2022.104
Keywords: Artificial intelligence; decision-making quality; private sector organizations; Saudi Arabia.
Abstract
Artificial intelligence (AI) is a leading future strategic technology. AI is more advanced as it is integrated into the decision-making (DM) process. Saudi Arabia (SA) is diversifying its economy with the Vision 2030 Initiative. Vision 2030 recognizes digital transformation as an important goal to boost the business sector, support private sector companies, and ultimately reduce the country's reliance on oil revenues through economic diversification. Therefore, this study aims to examine the impacts of applying AI on DM quality in the private sector organizations in SA. The quantitative method was adopted, and the data was collected using the questionnaire distributed to the study subjects (n=170 employees). The findings showed that there was a significant impact of using AI applications in its three dimensions (training and development, appropriateness, and effectiveness) on the DM quality in its three dimensions (the speed of decision-making, the quality of the decision, accepting the decision) in the private sector organizations in SA. Therefore, it could be recommended that private sector organizations should continue to employ AI applications in their businesses, keep abreast of developments, and establish partnerships between the Saudi data AI authority (SDAIA) and international companies to support AI research. Further analysis of different domains of AI in the organizations in SA in both the private and public sectors should be done.
Paper ID: 13A5T
Cite this article:
Aljohani, N.B., Albliwi, S. (2022). Impacts of Applying Artificial Intelligence on Decision-Making Quality: A Descriptive Study in Saudi Arabian Private Sector Organizations. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(5), 13A5T, 1-14. http://TUENGR.COM/V13/13A5T.pdf DOI: 10.14456/ITJEMAST.2022.104