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Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE

This study assessed various factors related to service quality in influencing artificial intelligence security technology. It was carried out through quantitative approach where the data of respondents perceptions of UAE citizens towards the enhancing service quality in the UAE's AI security se...

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Main Authors: Abdulla Alafreet Alkuwaiti, Salem Ahmed, Ahmad, Ahmad Nur Aizat, Abo Mosali, Najmaddin
Format: Article
Language:English
Published: uthm 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/11615/1/J16123_bd1b72151782faedf5137449380bb565.pdf
http://eprints.uthm.edu.my/11615/
https://doi.org/10.30880/ijscet.2023.14.02.008
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spelling my.uthm.eprints.116152024-09-25T07:21:27Z http://eprints.uthm.edu.my/11615/ Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE Abdulla Alafreet Alkuwaiti, Salem Ahmed Ahmad, Ahmad Nur Aizat Abo Mosali, Najmaddin T Technology (General) This study assessed various factors related to service quality in influencing artificial intelligence security technology. It was carried out through quantitative approach where the data of respondents perceptions of UAE citizens towards the enhancing service quality in the UAE's AI security sector was derived through queationnaire survey. The factors were categorized in four groups which are performance expectancy group with seven factors; effort expectancy group with seven factors; social influence group with four factors; and facilitates condition group with five factors. With these factors, the respondents were requested to gauge the degree of influence of each factor using 5-points likert scale. The questionnaire survey managed to secure 359 completed questionnaire forms. The data from these forms were analysed using descriptive statistic. It was found that facilitates condition group of factor is the most influencing category on service quality to adopt AI technology. It can be concluded that the overall results indicate that facilitates condition, effort expectancy and performance expectancy groups are reported having very high influencing categories while social influence group having high influencing ategory. It was also found that AI technologies are very frequently used technologies by the UAE citizens. Based on the study, it is deduced that service quality is a basic consideration as reported by the UAE personnel for adoption of any technology. uthm 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/11615/1/J16123_bd1b72151782faedf5137449380bb565.pdf Abdulla Alafreet Alkuwaiti, Salem Ahmed and Ahmad, Ahmad Nur Aizat and Abo Mosali, Najmaddin (2023) Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE. INTERNATIONAL JOURNAL OF SUSTAINABLE CONSTRUCTION ENGINEERING AND TECHNOLOGY, 14 (2). pp. 76-87. ISSN 2180-3242 https://doi.org/10.30880/ijscet.2023.14.02.008
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdulla Alafreet Alkuwaiti, Salem Ahmed
Ahmad, Ahmad Nur Aizat
Abo Mosali, Najmaddin
Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
description This study assessed various factors related to service quality in influencing artificial intelligence security technology. It was carried out through quantitative approach where the data of respondents perceptions of UAE citizens towards the enhancing service quality in the UAE's AI security sector was derived through queationnaire survey. The factors were categorized in four groups which are performance expectancy group with seven factors; effort expectancy group with seven factors; social influence group with four factors; and facilitates condition group with five factors. With these factors, the respondents were requested to gauge the degree of influence of each factor using 5-points likert scale. The questionnaire survey managed to secure 359 completed questionnaire forms. The data from these forms were analysed using descriptive statistic. It was found that facilitates condition group of factor is the most influencing category on service quality to adopt AI technology. It can be concluded that the overall results indicate that facilitates condition, effort expectancy and performance expectancy groups are reported having very high influencing categories while social influence group having high influencing ategory. It was also found that AI technologies are very frequently used technologies by the UAE citizens. Based on the study, it is deduced that service quality is a basic consideration as reported by the UAE personnel for adoption of any technology.
format Article
author Abdulla Alafreet Alkuwaiti, Salem Ahmed
Ahmad, Ahmad Nur Aizat
Abo Mosali, Najmaddin
author_facet Abdulla Alafreet Alkuwaiti, Salem Ahmed
Ahmad, Ahmad Nur Aizat
Abo Mosali, Najmaddin
author_sort Abdulla Alafreet Alkuwaiti, Salem Ahmed
title Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
title_short Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
title_full Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
title_fullStr Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
title_full_unstemmed Service Quality Factors Influencing the Use of Artificial Intelligent Security Technology in UAE
title_sort service quality factors influencing the use of artificial intelligent security technology in uae
publisher uthm
publishDate 2023
url http://eprints.uthm.edu.my/11615/1/J16123_bd1b72151782faedf5137449380bb565.pdf
http://eprints.uthm.edu.my/11615/
https://doi.org/10.30880/ijscet.2023.14.02.008
_version_ 1811687208465203200
score 13.211869

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