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Digital transformation brings significant changes in data processing, including the audit process carried out by auditors in producing quality audit reports. This study shows that auditors are required to be able to adapt to these changes, both in terms of skills and knowledge, in order to implement digital-based audit data processing programs. The data used this study were obtained through the distribution of questionnaires to Public Accounting Firms (KAP) in Yogyakarta. The research method applied was quantitative. The population of this study consisted of all auditore in 17 KAPs in Yogyakarta listed in the IAPI Directory in 2025, and the sample used was 67 respondents. The results indicate that digital transformation has a significant positive effect on audit quality, while auditor competence does not moderate the effect of digital transformation on audit quality.

The study aims to analyze the influence of Self-esteem, narcissism, Knowledge Sharing, professional skepticism, and Educational Level on Auditor Performance. The research was conducted with auditors at the Public Accounting Firm Jojo Sunarjo & Partners to understand how psychological characteristics, professional behaviour, and educational background contribute to optimal auditor performance. The study included 202 active auditors. Data analysis was carried out using the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach with SmartPLS version 4.0. The results show that Self-esteem, Knowledge Sharing, Professional Skepticism, and Educational Level positively influence Auditor Performance. Meanwhile, Narcissism has an adverse effect on Auditor Performance. These findings highlight the importance of personality traits and professional conduct in supporting the quality of auditor performance.

This study aims to investigate the influence of workload, competence, and red flags on auditors' ability to detect financial statement fraud. Fraud detection is a crucial aspect of the audit process, especially amidst increasing business complexity and pressure on the integrity of financial reporting. This study was conducted on 104 external auditors working at 12 Public Accounting Firms (KAP) operating in the Bekasi area. Respondents were selected using a purposive sampling technique, namely selecting samples based on certain criteria relevant to the research objectives. Data collection was carried out by distributing questionnaires compiled based on research variable indicators, then analyzed using hypothesis testing with the help of SPSS Statistics software version 26. The results of the analysis indicate that partially, the variables of workload and red flags have a negative influence on auditors' ability to detect financial statement fraud. This indicates that auditors with high workloads or who do not accurately identify red flags have a lower tendency to detect fraud. Conversely, auditor competence shows a significant positive influence on fraud detection ability. Auditors who have adequate knowledge, skills, and experience tend to be more capable of identifying and analyzing indications of fraud in financial statements. Simultaneously, the three independent variables—workload, competence, and red flags—significantly influence auditors' ability to detect financial statement fraud. This finding underscores the importance of managing auditor workload, improving competence through ongoing training, and developing a thorough understanding of red flag indicators to enhance audit effectiveness and financial statement quality. This research is expected to contribute to the development of audit practices and the enhancement of auditor professionalism in Indonesia.