
Please use this identifier to cite or link to this item:
https://repositori.mypolycc.edu.my/jspui/handle/123456789/9938| Title: | REGULATORY FRAMEWORKS AND AUDITING STANDARDS SUPPORTING FRAUD DETECTION AND FINANCIAL REPORTING INTEGRITY |
| Authors: | James, Caitlin Joshua, Bethany |
| Keywords: | Fraud detection Financial reporting Auditing standards Regulatory frameworks Corporate governance Internal controls Forensic accounting Compliance |
| Issue Date: | 19-Apr-2026 |
| Publisher: | IAEME Publication |
| Series/Report no.: | International Journal of Accounting and Information Management Research (IJAIMR);Volume 1, Issue 1, January-June 2026 |
| Abstract: | Purpose - This paper examines regulatory frameworks and auditing standards that strengthen fraud detection and enhance the integrity of financial reporting in contemporary corporate environments. Design/methodology/approach - The study adopts a qualitative analytical approach by synthesizing regulatory provisions, auditing standards, and scholarly literature. It evaluates global frameworks alongside audit practices and technological integrations. Findings - The analysis reveals that robust regulatory structures combined with risk-based auditing and advanced analytics significantly improve fraud detection. However, gaps remain in implementation consistency and technological adaptation. Practical implications - The findings provide actionable insights for auditors, regulators, and corporate governance bodies to enhance compliance mechanisms, strengthen internal controls, and adopt data-driven auditing techniques. Originality/value - This paper integrates regulatory theory with auditing practice, offering a structured and contemporary perspective on fraud prevention mechanisms without reliance on temporal markers. |
| URI: | https://repositori.mypolycc.edu.my/jspui/handle/123456789/9938 |
| Appears in Collections: | JABATAN PERDAGANGAN |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Regulatory Frameworks and Auditing Standards Supporting Fraud Detection and Financial Reporting Integrity.pdf | 4.5 MB | Adobe PDF | ![]() View/Open |
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