The Impact of Artificial Intelligence Tools for Financial Risk Analysis and Accounting Decision-Making: Commercial Banks as A Model

dc.contributor.authorFaisal Abdullah salman
dc.contributor.authorMohammed Hasan Kareem
dc.date.accessioned2025-12-28T14:05:07Z
dc.date.issued2024-12-15
dc.description.abstractThe research aims to examine the impact of artificial intelligence tools on financial risk analysis and accounting decision-making in commercial banks. It investigates how these tools can enhance financial risk analysis, improve the accuracy of financial forecasts, and refine accounting decision-making processes. The study employs a descriptive analytical approach and utilizes a questionnaire method. The research sample includes managers, department heads, and accountants from Iraqi private commercial banks that are registered on the Iraqi stock market . The study yielded several significant findings. Notably, it revealed a high impact of artificial intelligence tools on accounting decision-making. Additionally, there is a noted integration between artificial intelligence and accounting systems within these banks. The participants expressed strong agreement regarding the challenges and opportunities associated with the implementation of artificial intelligence in their operations
dc.formatapplication/pdf
dc.identifier.urihttps://scienticreview.com/index.php/gsr/article/view/497
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/7673
dc.language.isoeng
dc.publisherGlobal Scientific Publishing
dc.relationhttps://scienticreview.com/index.php/gsr/article/view/497/393
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceGlobal Scientific Review; Vol. 34 (2024): GSR; 25-41
dc.source2795-4951
dc.subjectArtificial Intelligence
dc.subjectFinancial Risk
dc.subjectAccounting Decisions
dc.titleThe Impact of Artificial Intelligence Tools for Financial Risk Analysis and Accounting Decision-Making: Commercial Banks as A Model
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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