The Impact of Artificial Intelligence-Based Leadership on Quality of Decision-Making. (Field study at the Yemen Telecommunications SabaFon Company – Aden).
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https://orcid.org/0009-0008-3778-4909
Sameer Mohammed Jazem
Abstract
The study aimed to measure the impact of artificial intelligence on the quality of decision-making within the Yemeni Telecommunications Company "SabaFon" - Aden branch. The study relied on the descriptive analytical approach, and included a sample of (133) employees from various administrative levels, who were selected using a comprehensive survey method. The researchers used questionnaires and interviews as tools for data collection. The study results revealed a statistically significant impact of artificial intelligence across its dimensions (system capability, user behavior, training and development, and availability of experts) on improving the quality of decision-making. The results also showed no statistically significant differences in participants' responses attributable to differences in age, educational qualifications, job title, and years of service, while differences were found attributable to the gender variable. The study recommended enhancing the use of AI technologies within companies, with a focus on improving system efficiency, employee training, and providing expertise. This will contribute to enhancing decision-making quality and achieving better corporate performance.
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Artificial intelligence, decision-making quality, SabaFon Company-Aden
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