Sammari, Nouna and Almessabi, Saif Salem Mohsen Dahnan (2020) The Impact of Applying Artificial Intelligence on the Quality of Decision-Making of Abu Dhabi Police General Headquarters. Asian Social Science, 16 (12). p. 101. ISSN 1911-2017
5fc4ec0d2408a.pdf - Published Version
Download (252kB)
Abstract
The study aims to examine the impact of applying artificial intelligence on the quality of making decisive security decisions in Abu Dhabi Police General Headquarters. The study uses hypothetical deductive approach to measure impact of applying artificial intelligence on the quality of decision-making. The study uses purposive sample of 100 respondents on staff of Abu Dhabi Police General Headquarters. The results showed that the importance of artificial intelligence was high. This indicates that managerial decision-making is directly or indirectly affected by artificial intelligence within the study sample. This makes the security sectors interested in the developments of artificial intelligence and its outputs and exploits them to save time in making decisions, and achieving quality and acceptance. The results further showed that the level of agreement on administrative decision-making has positive and significant relationship on System Sustainability and Development; Effectiveness of the program used as well as security system of Abu Dhabi Police General Headquarters. Artificial intelligence has become one of the main mechanisms that security sectors rely on in decision-making and represent the most important pillars of development that is indispensable under the changing strong competitions in the world of management, as the information and digital revolution cannot be overlooked and difficult to keep up with at the present time.
Item Type: | Article |
---|---|
Subjects: | Souths Book > Social Sciences and Humanities |
Depositing User: | Unnamed user with email support@southsbook.com |
Date Deposited: | 13 Jul 2023 04:40 |
Last Modified: | 14 Sep 2024 04:43 |
URI: | http://research.europeanlibrarypress.com/id/eprint/1383 |