THE INTERNAL AUDIT IN LIGHT OF ARTIFICIAL INTELLIGENCE: AN EXPLORATORY STUDY IN THE IRAQI ENVIRONMENT

dc.contributor.authorEnas Nusrat Suleiman
dc.date.accessioned2025-12-31T14:37:03Z
dc.date.issued2023-06-26
dc.description.abstractThe study aims to illustrate the concept of internal audit as an independent variable with its three dimensions (objectivity and independence, efficiency and technical qualifications, doing professional care) in the light of artificial intelligence as a dependent variable with its three dimensions (experienced systems, representation of knowledge and inference, and automatic learning) and then, determining the relationship of correlation and effect between them. In order to achieve the objectives of the research, a questionnaire that consists of (30) items was designed, and in the light of it, data were collected and analyzed, and hypotheses tested by using the statistical program (SPSS). The study sample consisted of (60) individuals in private banks. Several statistical tools and methods were used to achieve the research objectives, including: frequencies, percentages, arithmetic means, standard deviations, correlation coefficient and regression analysis. The most important results of the research were: the presence of a significant correlation relationship between the two variables, and a strong effect between internal audit and artificial intelligence.
dc.formatapplication/pdf
dc.identifier.urihttps://scholarexpress.net/index.php/wefb/article/view/2960
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/48063
dc.language.isoeng
dc.publisherScholar Express Journals
dc.relationhttps://scholarexpress.net/index.php/wefb/article/view/2960/2543
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceWorld Economics and Finance Bulletin; Vol. 23 (2023): WEFB; 195-211
dc.source2749-3628
dc.subjectInternal Audit
dc.subjectArtificial Intelligence.
dc.titleTHE INTERNAL AUDIT IN LIGHT OF ARTIFICIAL INTELLIGENCE: AN EXPLORATORY STUDY IN THE IRAQI ENVIRONMENT
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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