International Journal of Accounting and Management Sciences (IJAMS)
DOI https://www.doi.org/10.56830/IJAMSSI12202503
Author
Mohammad Menwer Almutery
Abstract
This study aimed to identify the impact of artificial intelligence techniques on achieving the quality of administrative decisions at the Ministry of Municipalities and Housing in Riyadh. The researcher adopted the descriptive analytical approach. The study population amounted to (3500) individuals.
A simple random sample of (346) individuals was drawn, and (337) questionnaires were retrieved, with a recovery rate of (97.4%).
The results of the study showed that the dimensions of artificial intelligence were very high in the Ministry of Municipalities and Housing in Riyadh, as the arithmetic mean was (4.32), with a relative weight of (86.44%), and that the level of quality of administrative decisions was at an arithmetic mean of (4.29), with a relative weight of (85.82%), and to a large degree.
The results also revealed the existence of a statistically significant relationship at the significance level (α≤0.05) between artificial intelligence in its dimensions (expert systems, decision support systems, knowledge sharing systems) and the quality of administrative decisions in the Ministry of Municipalities and Housing in Riyadh, and the existence of a statistically significant effect at the significance level (α≤0.05) between artificial intelligence and the quality of administrative decisions in the Ministry of Municipalities and Housing in Riyadh.
The study also recommends intensifying efforts by the Ministry of Municipalities and Housing to continuously and automatically update expert systems, and to provide the necessary equipment and devices to operate expert systems.
This is to provide solutions to problems when data is uncertain or incomplete. Focus on providing multiple alternatives that aid decision-making through artificial intelligence applications, and the need to allow artificial intelligence in the Ministry of Municipalities and Housing to represent data in multiple models to facilitate the decision-making process. Decision-makers must consider risks and uncertainty when making decisions and involve employees in the decision-making process.
Work on developing legislation to accommodate changes in the transparent decision-making process and use performance reports to correct deviations in its various decision-making processes.
Keywords: Artificial Intelligence, Quality of Administrative Decisions, Ministry of Municipalities and Housing, Riyadh.
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