Role of Artificial Intelligence in Enhancing Strategic Decision-Making for Top Level Management Through Financial Analysis in Jordanian Commercial Banks

This study aimed to identify the impact of artificial intelligence on strategic decision-making through financial analysis as a mediating variable, relying on the descriptive analytical approach. The study population consisted of top-level management in Jordanian commercial banks, and the sample size was (213). Descriptive and statistical analysis SPSS-22 was used, and the study concluded that the level of application of artificial intelligence in Jordanian commercial banks was moderate, and the level of practice of strategic decision-making was moderate. Based on the results, the study recommended enhancing investment in artificial intelligence technologies and developing their use in financial analysis to support the accuracy and efficiency of strategic decisions, with a focus on integrating them into decision-making processes instead of relying solely on traditional financial analysis

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Publication Details

Journal
International Journal of Technology Innovation and Management (IJTIM)
Published
2024-12-28
DOI
https://doi.org/10.54489/ijtim.v4i2.476
Primary Topic
Islamic Finance and Banking Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Role of Artificial Intelligence in Enhancing Strategic Decision-Making for Top Level Management Through Financial Analysis in Jordanian Commercial Banks

Ammar Daher Bashatweh
1 links
International Journal of Technology Innovation and Management (IJTIM)
Islamic Finance and Banking Studies
article

Role of Artificial Intelligence in Enhancing Strategic Decision-Making for Top Level Management Through Financial Analysis in Jordanian Commercial Banks

Ammar Daher Bashatweh
article en

Abstract

This study aimed to identify the impact of artificial intelligence on strategic decision-making through financial analysis as a mediating variable, relying on the descriptive analytical approach. The study population consisted of top-level management in Jordanian commercial banks, and the sample size was (213). Descriptive and statistical analysis SPSS-22 was used, and the study concluded that the level of application of artificial intelligence in Jordanian commercial banks was moderate, and the level of practice of strategic decision-making was moderate. Based on the results, the study recommended enhancing investment in artificial intelligence technologies and developing their use in financial analysis to support the accuracy and efficiency of strategic decisions, with a focus on integrating them into decision-making processes instead of relying solely on traditional financial analysis

International Journal of Technology Innovation and Management (IJTIM)Vol. 4(2)
Openalex Percentile: Top 47%
Islamic Finance and Banking Studies
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