Testing the Fraud Pentagon in Indonesian Manufacturing Companies: Pressure, Rationalization, and Capability as Determinants of Financial Statement Fraud during 2019–2023
Keywords:
financial statement fraud, Fraud Pentagon, external pressure, auditor change, manufacturing companiesAbstract
Financial statement fraud is a serious issue because it can mislead investors, weaken corporate credibility, and harm stakeholders. This study aims to analyze the effects of external pressure, financial stability, nature of industry, auditor change, director change, and changes in the number of CEO photographs on financial statement fraud from the perspective of the Fraud Pentagon in manufacturing companies listed on the Indonesia Stock Exchange during the 2019–2023 period. This study employed a quantitative approach with a causal-comparative design. The sample was selected using purposive sampling, resulting in 10 companies with a total of 50 observations from financial statements and annual reports. Data were analyzed using multiple linear regression, classical assumption tests, simultaneous tests, partial tests, and the coefficient of determination. The results show that external pressure, financial stability, auditor change, and director change have significant effects on financial statement fraud. In contrast, nature of industry and changes in the number of CEO photographs do not have significant effects. Simultaneously, the six variables have a significant effect, with the model explaining 55.4% of the variation. These findings indicate that the Fraud Pentagon remains relevant, but operates selectively, as the dimensions of pressure, rationalization, and capability are more dominant than the dimensions of opportunity and arrogance. This study concludes that fraud detection in manufacturing companies should focus more strongly on financial pressure and changes in key corporate actors.
References
Association of Certified Fraud Examiners. (2024). Occupational fraud 2024: A report to the nations. ACFE. https://www.acfe.com/fraud-resources/report-to-the-nations
Association of Certified Fraud Examiners Indonesia. (2020). Survei fraud Indonesia 2019. ACFE Indonesia Chapter. https://acfe-indonesia.or.id/wp-content/uploads/2021/02/SURVEI-FRAUD-INDONESIA-2019.pdf
Aslira, S., Chandrarin, G., & Zuhroh, D. (2024). Pressure and opportunity on financial statement fraud with political connection as a moderating variable. AFRE (Accounting and Financial Review), 7(3), 367–375. https://doi.org/10.26905/afr.v7i3.14468
Dechow, P. M., Ge, W., Larson, C. R., & Sloan, R. G. (2011). Predicting material accounting misstatements. Contemporary Accounting Research, 28(1), 17–82. https://doi.org/10.1111/j.1911-3846.2010.01041.x
Farmashinta, P., & Yudowati, S. P. (2019). Pengaruh fraud pentagon terhadap kecurangan laporan keuangan: Studi pada sektor industri barang konsumsi yang terdaftar di BEI periode 2015–2017. JASa (Jurnal Akuntansi, Audit dan Sistem Informasi Akuntansi), 3(3), 349–363. https://doi.org/10.36555/jasa.v3i3.719
Gao, J. (2024). R-squared (R²): How much variation is explained? Research Methods in Medicine & Health Sciences, 5(4), 104–109. https://doi.org/10.1177/26320843231186398
Haqq, A. P. N. A., & Budiwitjaksono, G. S. (2019). Fraud pentagon for detecting financial statement fraud. Journal of Economics, Business, and Accountancy Ventura, 22(3), 319–332. https://doi.org/10.14414/jebav.v22i3.1788
Maier, C., Thatcher, J. B., Grover, V., & Dwivedi, Y. K. (2023). Cross-sectional research: A critical perspective, use cases, and recommendations for IS research. International Journal of Information Management, 70, Article 102625. https://doi.org/10.1016/j.ijinfomgt.2023.102625
Putra, A. R., & Kusnoegroho, Y. A. (2021). Pengujian fraud pentagon dalam mendeteksi kecurangan laporan keuangan. AFRE (Accounting and Financial Review), 4(2), 172–185. https://doi.org/10.26905/afr.v4i2.6269
Rimadanti, S., Santoso, A., & Sulistyawati, A. I. (2022). The role of pentagon fraud in detecting fraudulent financial statements. Golden Ratio of Finance Management, 2(2), 87–97. https://doi.org/10.52970/grfm.v2i2.185
Santoso, K., & Marlinah, A. (2024). Exploring factors affecting fraudulent financial reporting using pentagon theory. Journal of Applied Finance & Accounting, 11(2).
Shrestha, N. (2020). Detecting multicollinearity in regression analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39–42. https://doi.org/10.12691/ajams-8-2-1
Soltani, M., Kythreotis, A., & Roshanpoor, A. (2023). Two decades of financial statement fraud detection literature review: Combination of bibliometric analysis and topic modeling approach. Journal of Financial Crime, 30(5), 1367–1388. https://doi.org/10.1108/JFC-09-2022-0227
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Sofia, Andrea Geovani (Penulis)

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