Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score
Article View

Keywords

Fraud Detection
Financial Statement Fraud
M-Score
F-Score
SOEs

How to Cite

Masitah, D. (2024). Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score. Indonesian Journal of Innovation Studies, 25(4), 10.21070/ijins.v25i4.1142. https://doi.org/10.21070/ijins.v25i4.1142

Abstract

This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs.

Highlights:

  • Pressure's Role: Pressure directly impacts financial fraud detection in SOEs.
  • Model Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models.
  • Ineffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods.

Keywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs

https://doi.org/10.21070/ijins.v25i4.1142
Article View

References

Aprilia, "Analysis of the Influence of the Fraud Pentagon on Financial Statement Fraud Using the Beneish Model in Companies Implementing the Asean Corporate Governance Scorecard," J. Aset (Akuntansi Riset), vol. 9, 2017. [Online]. Available: https://ejournal.upi.edu/index.php/aset/article/view/5259/0

R. D. Y. and A. Nasim, "Phenomenology Study of Fraud Prevention Based on Islamic Principles in Small Businesses," J. Ris. Akunt. dan Keuang., vol. 8, pp. 71–88, 2020. [Online]. Available: https://ejournal.upi.edu/index.php/JRAK/article/download/20100/11730

Association of Certified Fraud Examiners, "Report to the Nation on Occupational Fraud and Abuse (2016 Global Fraud Study)," Association of Certified Fraud Examiners, 2017. [Online]. Available: https://www.acfe.com/rttn2016/docs/2016-report-to-the-nations.pdf

K. S. S. and S. N. Rahardjo, "Fraud Diamond Analysis in Detecting Financial Statement Fraud: An Empirical Study on Manufacturing Companies Listed on the Indonesia Stock Exchange (BEI) 2010-2012," Diponegoro J. Account., vol. 3, 2014. [Online]. Available: https://ejournal3.undip.ac.id/index.php/accounting/article/view/6136

T. Yusroniyah, "Detection of Fraudulent Financial Statements Through Crowe’s Fraud Pentagon Theory at State-Owned Enterprises Listed on the Indonesia Stock Exchange," Universitas Negeri Semarang, 2017. [Online]. Available: https://lib.unnes.ac.id/29812/1/7211413004.pdf

D. R. Cressey, "Other People’s Money; a Study of the Social Psychology of Embezzlement," Free Press, 1953.

D. T. Wolfe and D. R. Hermanson, "The Fraud Diamond: Considering the Four Elements of Fraud," Kennesaw State University DigitalCommons@Kennesaw State University, 2004. [Online]. Available: https://digitalcommons.kennesaw.edu/cgi/viewcontent.cgi?article=2546&context=facpubs

Howarth, "IIA Practice Guide: Fraud and Internal Audit," Institute of Internal Auditors, 2011, pp. 1–49.

Y. K. D. Nurjana, "The Influence of Fraud Pentagon Theory on Fraudulent Financial Reporting: An Empirical Study in the Banking Sector Listed on the Indonesia Stock Exchange 2015-2017," Universitas Islam Negeri Maulana Malik Ibrahim, 2019. [Online]. Available: http://etheses.uin-malang.ac.id/15105/1/15520088.pdf

M. J. and D. P. Silaban, "Testing the Fraud Pentagon on the Risk of Financial Fraudulent Reporting," J. Ilmu Manag., vol. 12, 2020. [Online]. Available: https://ejournals.umn.ac.id/index.php/manajemen/article/view/1581

Zelin, "Fraud Pentagon Analysis in Detecting Financial Statement Fraud Using the Fraud Score Model," Universitas Islam Indonesia, 2018. [Online]. Available: https://dspace.uii.ac.id/bitstream/handle/123456789/7701/SKRIPSI%20Cintia%20Zelin.pdf

S. N. Azizah, "Fraud Pentagon Analysis as Early Warning in Detecting Financial Statement Fraud: A Study on State-Owned Enterprises Listed on the Indonesia Stock Exchange 2015-2018," Universitas Islam Negeri Maulana Malik Ibrahim, 2020. [Online]. Available: http://etheses.uin-malang.ac.id/17765/1/16520057.pdf

M. C. Jensen and W. H. Meckling, "Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure," J. Financ. Econ., vol. 3, no. 4, 1976. [Online]. Available: https://www.sciencedirect.com/science/article/pii/0304405X7690026X

I Gusti Ayu Ratih Permata Dewi and I. G. A. W. Pertama, "Fraud Diamond and Its Impact," J. Ilm. Akunt. dan Bisnis, vol. 5, 2020. [Online]. Available: https://journal.undiknas.ac.id/index.php/akuntansi/article/download/2469/846

R. D. A. and D. Pratomo, "The Influence of Fraud Pentagon in Detecting Financial Reporting Fraud," J. Ilm. Manaj. Ekon. dan Akunt., vol. 3, 2019. [Online]. Available: https://journal.stiemb.ac.id/index.php/mea/article/view/99

T. G. and P. Harto, "Fraudulent Financial Reporting: Testing Fraud Pentagon Theory in the Financial and Banking Sector in Indonesia," 2016. [Online]. Available: https://lib.ibs.ac.id/materi/Prosiding/SNA%20XIX%20(19)%20Lampung%202016/makalah/063.pdf

M. D. Beneish, "The Detection of Earnings Manipulation," Financ. Anal. J., vol. 55, no. 5, pp. 24–36, 1999. [Online]. Available: https://www.tandfonline.com/doi/abs/10.2469/faj.v55.n5.2296

Patricia M. Dechow, Weili Ge, Chad R. Larson, and R. G. Sloan, "Predicting Material Accounting Misstatements," Contemp. Account. Res., vol. 28, pp. 17–82, 2011. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1911-3846.2010.01041.x

Sugiyono, "Research Methods: Quantitative, Qualitative, and R&D," Bandung: Alfabeta, 2015.

A. J. Lhyaul Ulum and A. Juanda, "Research Methods in Accounting: Dissertation Clinic," Malang: Aditya Media Publishing, 2016.

R. B. Sarpta, "Fraud Pentagon Analysis in Detecting Fraudulent Financial Reporting Using the Beneish M-Score Model (Empirical Study on Manufacturing Companies Listed on the Indonesia Stock Exchange 2014-2016)," Universitas Lampung, 2018. [Online]. Available: https://digilib.unila.ac.id/31452/3/SKRIPSI%20TANPA%20BAB%20PEMBAHASAN.pdf

V. Meiliana Jaunanda, Cindy Tian, Karina Edita, "Analysis of the Effect of Fraud Pentagon on Fraudulent Financial Reporting Using the Beneish Model," JPA (Jurnal Penelitian Akuntansi), vol. 1, no. 1, 2020. [Online]. Available: https://ojs.uph.edu/index.php/JPA/article/view/2414

A. P. F., "Financial Statement Fraud Detection with Fraud Pentagon Analysis at Manufacturing Companies Listed on the Indonesia Stock Exchange (Empirical Study on Companies Listed in the Manufacturing Sector at the Indonesia Stock Exchange 2016-2018)," Universitas Islam Indonesia, 2019. [Online]. Available: https://dspace.uii.ac.id/bitstream/handle/123456789/17465/15312249.pdf?sequence=14&isAllowed=y

J. Hugo, "Effectiveness of the Beneish M-Score and F-Score Models in Detecting Financial Statement Fraud," J. Muara Ilmu Ekon. dan Bisnis, vol. 3, 2019. [Online]. Available: https://journal.untar.ac.id/index.php/jmieb/article/view/2296

M. E. M. K. and M. F. M. Salleh and A. Ahmad, "Detecting Financial Statement Fraud by Malaysian Public Listed Companies: the Reliability of the Beneish M-Score Model," J. Pengur., 2016. [Online]. Available: https://journalarticle.ukm.my/10793/1/8601-43000-1-PB.pdf

Ismawati, "Fraud Pentagon Analysis on Financial Statement Fraud Using the Beneish M-Score and F-Score," Universitas Peradaban, 2019.

Creative Commons License

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

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...