USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN
This study seeks to examine the impact of utilising artificial intelligence (AI) including genetic algorithms, expert systems, neural networks, and intelligent agents on key dimensions of competitive advantage, namely cost, quality, delivery, and flexibility, within Islamic banks operating in the G...
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Regional Association for Security and crisis management, Belgrade, Serbia
2024-12-01
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Series: | Operational Research in Engineering Sciences: Theory and Applications |
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Online Access: | https://www.oresta.org/menu-script/index.php/oresta/article/view/841 |
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author | Khaled Abdulwahab Alzeaideen Ala’a Abdulkarim Hamdan Hazem Khaled Shehadeh Majed Abdel-Mohdi Masadeh Hala Alsabatin Abdalmuttaleb Al-Sartawi Waleed Nureldeen |
author_facet | Khaled Abdulwahab Alzeaideen Ala’a Abdulkarim Hamdan Hazem Khaled Shehadeh Majed Abdel-Mohdi Masadeh Hala Alsabatin Abdalmuttaleb Al-Sartawi Waleed Nureldeen |
author_sort | Khaled Abdulwahab Alzeaideen |
collection | DOAJ |
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This study seeks to examine the impact of utilising artificial intelligence (AI) including genetic algorithms, expert systems, neural networks, and intelligent agents on key dimensions of competitive advantage, namely cost, quality, delivery, and flexibility, within Islamic banks operating in the Governorate of Amman. Adopting a descriptive-analytical approach, the study employed a structured questionnaire as the primary instrument for data collection. The questionnaire was administered to employees of Islamic banks, who comprise the study population (N = 3,339), with a stratified random sample of 437 individuals selected for participation. A total of 371 valid responses were obtained and subsequently analysed using SPSS to conduct hypothesis testing. The results reveal a statistically significant effect of AI adoption in banking operations on the competitive advantage dimensions under investigation. These findings underscore the pivotal role AI plays in enhancing competitive positioning. Accordingly, the study recommends the strategic implementation of AI technologies to improve cost estimation accuracy, minimise operational waste, monitor service delivery timelines, and foster the development of innovative and flexible Islamic financial services. This study integrates artificial intelligence techniques into service performance evaluation to support data-driven decision making in banking operations.
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format | Article |
id | doaj-art-d6565d6a9a1b4d8e8909f3e4f9a38aab |
institution | Matheson Library |
issn | 2620-1607 2620-1747 |
language | English |
publishDate | 2024-12-01 |
publisher | Regional Association for Security and crisis management, Belgrade, Serbia |
record_format | Article |
series | Operational Research in Engineering Sciences: Theory and Applications |
spelling | doaj-art-d6565d6a9a1b4d8e8909f3e4f9a38aab2025-06-27T02:53:11ZengRegional Association for Security and crisis management, Belgrade, SerbiaOperational Research in Engineering Sciences: Theory and Applications2620-16072620-17472024-12-0174USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDANKhaled Abdulwahab Alzeaideen0Ala’a Abdulkarim Hamdan1Hazem Khaled Shehadeh2Majed Abdel-Mohdi Masadeh3Hala Alsabatin4Abdalmuttaleb Al-Sartawi5Waleed Nureldeen6Zarqa University, Jorden.Zarqa University, Zarqa, Jordan.Zarqa University, Jorden.Zarqa University, Zarqa, Jordan.Faculty of Educational Sciences, Zarqa University, Zarqa, Jordan.Dept. of Accounting & Economics, College of Business & Finance, Ahlia University, Bahrain.University of Business and Technology Academy, University of Business and Technology. This study seeks to examine the impact of utilising artificial intelligence (AI) including genetic algorithms, expert systems, neural networks, and intelligent agents on key dimensions of competitive advantage, namely cost, quality, delivery, and flexibility, within Islamic banks operating in the Governorate of Amman. Adopting a descriptive-analytical approach, the study employed a structured questionnaire as the primary instrument for data collection. The questionnaire was administered to employees of Islamic banks, who comprise the study population (N = 3,339), with a stratified random sample of 437 individuals selected for participation. A total of 371 valid responses were obtained and subsequently analysed using SPSS to conduct hypothesis testing. The results reveal a statistically significant effect of AI adoption in banking operations on the competitive advantage dimensions under investigation. These findings underscore the pivotal role AI plays in enhancing competitive positioning. Accordingly, the study recommends the strategic implementation of AI technologies to improve cost estimation accuracy, minimise operational waste, monitor service delivery timelines, and foster the development of innovative and flexible Islamic financial services. This study integrates artificial intelligence techniques into service performance evaluation to support data-driven decision making in banking operations. https://www.oresta.org/menu-script/index.php/oresta/article/view/841Banking OperationsGenetic AlgorithmAIMachine LearningNeural NetworkIslamic Sharia banks |
spellingShingle | Khaled Abdulwahab Alzeaideen Ala’a Abdulkarim Hamdan Hazem Khaled Shehadeh Majed Abdel-Mohdi Masadeh Hala Alsabatin Abdalmuttaleb Al-Sartawi Waleed Nureldeen USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN Operational Research in Engineering Sciences: Theory and Applications Banking Operations Genetic Algorithm AI Machine Learning Neural Network Islamic Sharia banks |
title | USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN |
title_full | USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN |
title_fullStr | USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN |
title_full_unstemmed | USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN |
title_short | USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN |
title_sort | using artificial intelligence and competitive advantage in operations management a case study of islamic banks in amman jordan |
topic | Banking Operations Genetic Algorithm AI Machine Learning Neural Network Islamic Sharia banks |
url | https://www.oresta.org/menu-script/index.php/oresta/article/view/841 |
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