THE DIGITAL FORENSIC AUDIT METHODS IN IDENTIFYING FINANCIAL STATEMENT FRAUD SCHEMES
A LITERATURE REVIEW
Keywords:
Digital Forensic Audit, Financial Statement Fraud, Forensic Accounting, Forensic Data AnalyticsAbstract
Digital transformation in financial reporting systems has changed the pattern of financial statement fraud from manipulation of physical documents to data-driven electronic engineering. This study aims to map and synthesize various digital forensic audit methods used in identifying financial statement fraud schemes through a Systematic Literature Review (SLR) approach with a PRISMA framework. The analysis was conducted on 25 selected scientific articles from the 2023–2026 period sourced from reputable databases. The results of the study indicate that digital forensic audit methods can be classified into four main stages, namely acquisition, preservation, analysis, and reporting of digital evidence. The findings also indicate that the integration of technologies such as forensic data analytics, CAATs, big data analysis, and continuous auditing enhances auditors' ability to identify various fraud schemes, including revenue recognition manipulation, earnings management, and audit trail deletion. In addition to technological factors, auditors' competence in understanding digital investigation procedures and managing electronic evidence becomes an important factor in the success of the forensic audit process. This study formulates an integrative conceptual framework that can provide theoretical contributions to the development of forensic accounting literature and serve as a practical reference for auditors and law enforcers in addressing the dynamics of financial statement fraud in the digital era.
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