Machine Learning and External Auditor Perception: An Analysis for UAE External Auditors Using Technology Acceptance Model
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References listed on IDEAS
- Earley, Christine E., 2015. "Data analytics in auditing: Opportunities and challenges," Business Horizons, Elsevier, vol. 58(5), pages 493-500.
- 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.
- repec:eme:maj000:maj-01-2018-1773 is not listed on IDEAS
- Chiu, Victoria & Liu, Qi & Vasarhelyi, Miklos A., 2014. "The development and intellectual structure of continuous auditing research," Journal of Accounting Literature, Elsevier, vol. 33(1), pages 37-57.
- Marco Schreyer & Timur Sattarov & Christian Schulze & Bernd Reimer & Damian Borth, 2019. "Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks," Papers 1908.00734, arXiv.org.
- Jans, Mieke & Lybaert, Nadine & Vanhoof, Koen, 2010. "Internal fraud risk reduction: Results of a data mining case study," International Journal of Accounting Information Systems, Elsevier, vol. 11(1), pages 17-41.
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More about this item
Keywords
Machine Learning; Auditing; External auditors; Ease of use; Usefulness; TAM;All these keywords.
JEL classification:
- M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
- M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
- M48 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Government Policy and Regulation
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