{"id":{"repo_id":"bradford","oai_identifier":"oai:bradscholars.brad.ac.uk:10454/20458"},"canonical_url":"https://search.dev.ndltd.org/etd/bradford/oai:bradscholars.brad.ac.uk:10454/20458","repository":{"repo_id":"bradford","name":"University of Bradford","base_url":"https://bradscholars.brad.ac.uk/oai/request"},"display":{"title":"Adoption and Integration of Artificial Intelligence (AI) in UAE Public Safety and Security Organisations","abstract":"Artificial Intelligence (AI) usage is gaining momentum in the public sector due to its benefits. For instance, the need to reach more people faster, safely and securely has encouraged usage by the United Arab Emirates (UAE) public sector. However, it has been challenging integrating AI with existing system, thereby discouraging further AI adoption. This study aims to identify and assess factors that facilitate AI adoption, and AI integration in directorates responsible for UAE public safety and security. This study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT) as a guide for determining factors that influence AI adoption in UAE public sector. Using quantitative approach, an online survey is completed by 411 officers from three directorates, and the data is analysed using Structural equation modelling (SEM). The findings reveal that performance expectancy and effort expectancy positively lead to AI behavioural intentions, and that AI behavioural intention positively influence AI adoption in the three sampled directorates. Further findings indicate that experience is crucial to integration of AI behavioural intention and AI adoption. Technology training is identified as a moderator of the relationship between facilitating conditions and AI usage. These findings offer new knowledge for security and safety scholars, technology adoption studies and for leaders in public safety and security by clarifying the factors that facilitate both AI adoption and integration. These results recommend the use of AI by applying the research framework to ensure successful AI adoption, and AI integration in the UAE public sector.","abstract_html":"Artificial Intelligence (AI) usage is gaining momentum in the public sector due to its benefits. For instance, the need to reach more people faster, safely and securely has encouraged usage by the United Arab Emirates (UAE) public sector. However, it has been challenging integrating AI with existing system, thereby discouraging further AI adoption. This study aims to identify and assess factors that facilitate AI adoption, and AI integration in directorates responsible for UAE public safety and security. This study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT) as a guide for determining factors that influence AI adoption in UAE public sector. Using quantitative approach, an online survey is completed by 411 officers from three directorates, and the data is analysed using Structural equation modelling (SEM). The findings reveal that performance expectancy and effort expectancy positively lead to AI behavioural intentions, and that AI behavioural intention positively influence AI adoption in the three sampled directorates. Further findings indicate that experience is crucial to integration of AI behavioural intention and AI adoption. Technology training is identified as a moderator of the relationship between facilitating conditions and AI usage. These findings offer new knowledge for security and safety scholars, technology adoption studies and for leaders in public safety and security by clarifying the factors that facilitate both AI adoption and integration. These results recommend the use of AI by applying the research framework to ensure successful AI adoption, and AI integration in the UAE public sector.","abstract_has_math":false,"creators":["Al-Ali, Humaid"],"institution":"University of Bradford","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Johnson, Craig"],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T01:13:10Z","subjects":["Artificial Intelligence (AI)","Unified Theory of Acceptance and Use of Technology (UTAUT)","AI Integration","Technology","Police Directorate","Civil defence","Security Directorate","Public safety","United Arab Emirates (UAE)"],"languages":["en"],"rights":["\"Creative
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The University of Bradford theses are licenced under a Creative Commons Licence."],"dc:subject":["Artificial Intelligence (AI)","Unified Theory of Acceptance and Use of Technology (UTAUT)","AI Integration","Technology","Police Directorate","Civil defence","Security Directorate","Public safety","United Arab Emirates (UAE)"],"dc:title":["Adoption and Integration of Artificial Intelligence (AI) in UAE Public Safety and Security Organisations"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["DBA"]},"updated_at":"2026-07-24T01:13:10Z"}