Computer-Assisted Audit Techniques (CAATs) for Financial Fraud Detection: A Qualitative Approach

Fraud can harm financial statement, yet it is difficult to detect. The emergence of technological advancements is believed can help company to detect fraud. This research aimed to identify external auditor's perception of CAATs adoption for fraud detection and types of fraud which can be detected with CAATs. The data in this research was primary data collected by doing semi-structured interview to six external auditors from the Big Four and Non-Big Four public accounting firms. Interview data analyzed by conducting open and axial coding using NVIVO 11. The results indicated that adoption of CAATs improve the auditor's performance in identification of the transactions associated with fraud. In conclusion, the implementation of CAATs provides benefits in the audit process and plays an important role for fraud detection.