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The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE

Author

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  • Nora Azima Noordin

    (Faculty of Business, Higher Colleges of Technology, Sharjah Women’s Campus, Sharjah P.O. Box 7947, United Arab Emirates)

  • Khaled Hussainey

    (Faculty of Business and Law, University of Portsmouth, Portsmouth PO1 2UP, UK)

  • Ahmad Faisal Hayek

    (Faculty of Business, Higher Colleges of Technology, Sharjah Women’s Campus, Sharjah P.O. Box 7947, United Arab Emirates)

Abstract

This paper aims to explore external auditors’ perception of the use of artificial intelligence (AI) in the United Arab Emirates (UAE). It investigates whether there is a perception among external auditors toward the contribution of AI to audit quality. It also aims to test whether the perception of AI usage and its impact on audit quality differs between local and international external auditors. Data were collected using an online survey from 22 local and 41 international audit firms to achieve these research objectives. Participants were either the auditing manager, audit partners, senior auditors or other personnel who may have experience in the field of accounting and auditing. To test our hypotheses, data analysis was undertaken using reliability and validity tests, descriptive analysis and independent samples t -test. We found that the analysis shows that there is a non-significant difference in the perceived contribution of AI to audit quality between local and international audit firms. All the audit firms, whether local or international, have equal perceived contributions with regard to the audit quality.

Suggested Citation

  • Nora Azima Noordin & Khaled Hussainey & Ahmad Faisal Hayek, 2022. "The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE," JRFM, MDPI, vol. 15(8), pages 1-14, July.
    • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:8:p:339-:d:877273
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    References listed on IDEAS

    as
    1. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    2. repec:eme:majpps:maj-01-2018-1773 is not listed on IDEAS
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    Cited by:

    1. Laila Dahabiyeh & Omar Mowafi, 2023. "Challenges of using RPA in auditing: A socio‐technical systems approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 76-86, April.
    2. Ahmad Faisal Hayek & Nora Azima Noordin & Khaled Hussainey, 2022. "Machine Learning and External Auditor Perception: An Analysis for UAE External Auditors Using Technology Acceptance Model," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(4), pages 475-500, December.
    3. Nurul Izzaty Mat Ridzuan & Jamaliah Said & Fazlida Mohd Razali & Dewi Izzwi Abdul Manan & Norhayati Sulaiman, 2022. "Examining the Role of Personality Traits, Digital Technology Skills and Competency on the Effectiveness of Fraud Risk Assessment among External Auditors," JRFM, MDPI, vol. 15(11), pages 1-14, November.

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