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Unveiling the Auditor’s Lens: Impact of Workload, Time Pressure, Professional Skepticism, and Competence to Fraud Detection Cover

Unveiling the Auditor’s Lens: Impact of Workload, Time Pressure, Professional Skepticism, and Competence to Fraud Detection

Open Access
|May 2025

Abstract

This study is motivated by the expectation gap over the role of external auditors in detecting fraud. External auditors are expected to detect fraudulent financial statements, however the findings of the Association of Certified Fraud Examiners (ACFE) Global 2020 proved that fraud can be detected by external auditors by 4%. The preceding finding showed that the auditor’s ability to detect fraud is still relatively low. Based on that motivation, this study aims to investigate the role of workload, time pressure, professional skepticism, and competence on the ability of auditors to detect fraud. This study was conducted by a quantitative study with primary data. Data was obtained through online and direct questionnaires distribution. This study employed convenience sampling by distributing questionnaires to external auditors who were more accessible in order to facilitate efficient data collection. This study proved that professional skepticism and auditors’ competence affect the auditors’ ability to detect fraud. Meanwhile, workload and time pressure did not affect the auditors’ ability to detect fraud. Auditors are responsible for ensuring the fairness of financial reports, this makes auditors act professionally and carefully, even if the auditor is under work and time pressure.

DOI: https://doi.org/10.2478/sbe-2025-0005 | Journal eISSN: 2344-5416 | Journal ISSN: 1842-4120
Language: English
Page range: 77 - 96
Published on: May 15, 2025
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2025 Hera Khairunnisa, Gentiga Muhammad Zairin, Sharifah Milda Amirul, Rida Prihatni, Hasyim Rachman, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.