Impact of auditor characteristics on audit quality during COVID-19: Evidence from Saudi Arabia
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DOIhttp://dx.doi.org/10.21511/ppm.22(4).2024.11
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Article InfoVolume 22 2024, Issue #4, pp. 138-148
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This study aimed to analyze the impact of auditor characteristics on audit quality in Saudi Arabia during the COVID-19 pandemic by assessing how auditor characteristics (such as gender, age, education level, professional certificate, sector, size of the employees, revenue, experience, and region) impact audit quality in crisis conditions. It employed a descriptive-analytical approach and quantitative regression analysis of cross-sectional data. The survey was conducted in 2021 among 203 auditors in Saudi Arabia. Data collection was facilitated through the assistance of the Saudi Organization for Chartered and Professional Accountants (SOCPA) to make the sample more structured and representative. The results reveal that auditor characteristics played a significant role in determining audit quality during the pandemic. Gender, education level, audit firm size, and professionalism experience showed a strong correlation (r = 0.619) between professional experience and adaptability to remote auditing conditions. The regression analysis indicates a positive impact on audit performance. The results suggest practical implications for improving auditor selection, training programs, and regulatory frameworks to enhance audit resilience in times of crisis. It offers theoretical contribution by validating existing models under pandemic conditions and providing insights for the future of auditing practices. It also assists in establishing confidence in financial reporting together with control, making investors feel secure, and maintaining stability in the business world.
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JEL Classification (Paper profile tab)M41, M42, G01
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References34
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Tables6
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Figures0
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- Table 1. Demographic characteristics (n = 202)
- Table 2. Reliability results (n = 202)
- Table 3. Descriptive statistics for participants’ answers toward the first domain (n = 202)
- Table 4. Descriptive statistics for participants’ responses toward the second domain (n = 202)
- Table 5. Correlation results between the study variables (n = 202)
- Table 6. Regression for auditors’ positive impact on the quality of the audit during COVID-19
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