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 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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.15654617
Primary Topic
14-3-3 protein interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN

Zenodo (CERN European Organization for Nuclear Research)
14-3-3 protein interactions
article

USING ARTIFICIAL INTELLIGENCE AND COMPETITIVE ADVANTAGE IN OPERATIONS MANAGEMENT: A CASE STUDY OF ISLAMIC BANKS IN AMMAN, JORDAN

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Zarqa University (JO)
Openalex Percentile: Top 62%
14-3-3 protein interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.