IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-709-5_120.html

Forensic Accounting Techniques in Enhancing the Detection of Financial Fraud: A Case Study of Papua

In: Proceedings of the 10th International Conference on Accounting, Management, and Economics (10th ICAME 2025)

Author

Listed:
  • Nigels Irvianti Bandaso

    (Hasanuddin University)

  • Darmawati Darmawati

    (Hasanuddin University)

Abstract

This study examines the application of forensic accounting in detecting financial statement fraud, focusing on Papua Barat’s Inspectorate. This research, conducted using a survey of 80 respondents, explored how forensic accounting techniques could enhance fraud detection in the public sector. The results reveal that while the relationship between forensic accounting implementation and financial fraud detection is positive, it is not statistically significant. The B value for forensic accounting was 0.091, with a p-value of 0.217, indicating that the effect of forensic accounting on fraud detection was not significant at the 5% level. The coefficient of determination (R2) was very low, suggesting that forensic accounting can explain only a small fraction of the variation in fraud detection. These findings highlight the need for the increased application of forensic accounting techniques through training, certification, and improved regulatory support. Future research should incorporate additional variables and qualitative approaches to deepen the understanding of the factors that influence fraud detection effectiveness.

Suggested Citation

  • Nigels Irvianti Bandaso & Darmawati Darmawati, 2026. "Forensic Accounting Techniques in Enhancing the Detection of Financial Fraud: A Case Study of Papua," Advances in Economics, Business and Management Research, in: Mursalim Nohong & Rianda Ridho Hafizh Thaha & Muhammad Try Dharsana & Andi Tenri Harahap & Fakhrul I (ed.), Proceedings of the 10th International Conference on Accounting, Management, and Economics (10th ICAME 2025), pages 1713-1724, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6239-709-5_120
    DOI: 10.2991/978-94-6239-709-5_120
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6239-709-5_120. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.