Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/41260
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dc.contributor.authorGhouali Asma-
dc.contributor.authorKouici Mohamed-
dc.date.accessioned2026-09-06T09:53:46Z-
dc.date.available2026-09-06T09:53:46Z-
dc.date.issued2026-07-15-
dc.identifier.issn2170- 1938-
dc.identifier.urihttps://dspace.univ-ouargla.dz/jspui/handle/123456789/41260-
dc.descriptionAlgerian Business Performance Reviewen_US
dc.description.abstractThe study aimed to examine the impact of artificial intelligence and its three dimensions (machine learning, accounting process automation, and big data) on the quality of accounting disclosure. The study adopted the descriptive and analytical approach, as well as a case study method using a questionnaire, and employed statistical analysis to test the research hypotheses. The results revealed a statistically significant positive effect of machine learning, a statistically significant negative effect of accounting process automation, while big data showed no significant effect. The study concluded that adopting artificial intelligence technologies in a structured and well-planned manner is essential for improving the quality of accounting disclosure.en_US
dc.language.isootheren_US
dc.relation.ispartofseriesVolume 15, Numéro 1 2026;-
dc.subjectArtificial Intelligenceen_US
dc.subjectAccounting Disclosureen_US
dc.subjectQuality of Accounting Informationen_US
dc.subjectFinancial Reportsen_US
dc.subjectMachine Learningen_US
dc.titleThe Impact of Artificial Intelligence Applications on Improving the Quality of Accounting Disclosure: A Field Study on Accounting Professionals in the Southeastern Statesen_US
dc.typeArticleen_US
Appears in Collections:numéro 27 2026 V15 n1

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