Financial Statement Fraud: Challenges and Technology Deployment in Fraud Detection

Intan Waheedah Othman


Fraudulent financial reporting and other forms of earnings misstatement are catastrophic and pose a considerable threat to capital market stability. This study reviews the literature on existing technology-based methods of detecting financial statement fraud. The aim is to describe the challenges of predicting a rare fraud event and provide an understanding of the various data-mining based techniques for financial statement fraud detection. Given that fraudsters are becoming more adaptable and are constantly devising new ways to outwit the fraud detection system, the study provides directions for future research in detecting the evolutionary fraudulent financial reporting.

Full Text:




  • There are currently no refbacks.

Copyright (c) 2021 Intan Waheedah Othman

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

International Journal of Accounting and Financial Reporting  ISSN 2162-3082

Copyright © Macrothink Institute 

'Macrothink Institute' is a trademark of Macrothink Institute, Inc.

To make sure that you can receive messages from us, please add the '' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.