Hexagon Fraud Analysis in Fraudulent Financial Reporting Detection: With the Audit Committee as a Moderating Variable
DOI:
https://doi.org/10.32477/f43avv59Keywords:
Audit Committee, Beneish M-Score, Fraud Hexagon, Financial Fraud, State-owned Banking CompaniesAbstract
This study analyzes the effectiveness of the Fraud Hexagon Theory in detecting fraudulent financial reporting in state-owned banks listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023. It also evaluates the accuracy of the Beneish M-Score model and the moderating role of the audit committee in this relationship. A quantitative approach is used, with multiple regression and moderation regression analysis of secondary data from annual financial reports. The study focuses on six factors of the Fraud Hexagon Theory: pressure, opportunity, rationalization, capability, arrogance, and collusion. Results show that the nature of the industry significantly influences fraudulent financial reporting, while factors like external pressure, auditor switching, CEO narcissism, and multiple board positions did not. The audit committee moderated the relationship between industry nature, CEO narcissism, and multiple board positions with financial fraud, but had no effect on other factors. These findings emphasize the importance of strong internal controls and governance in the banking sector.
References
Abdullah, M. W., Hanafie, H., & Bayan, A. Y. M. (2023). Internal governance and fraud prevention system: The potentiality of the spiritual quotient. Journal of Governance and Regulation, 12(4), 50–59. https://doi.org/10.22495/jgrv12i4art5
Abed, I. A., Hussin, N., Haddad, H., Al-Ramahi, N. M., & Ali, M. A. (2022). The Moderating Impact of the Audit Committee on Creative Accounting Determination and Financial Reporting Quality in Iraqi Commercial Banks. Risks, 10(4), 77. https://doi.org/10.3390/risks10040077
Achmad, T., Ghozali, I., Helmina, M. R. A., Hapsari, D. I., & Pamungkas, I. D. (2022). Detecting Fraudulent Financial Reporting Using the Fraud Hexagon Model: Evidence from the Banking Sector in Indonesia. Economies, 11(1), 5. https://doi.org/10.3390/economies11010005
Al-Ebel, A., Baatwah, S., & Al-Musali, M. (2020). Religiosity, accounting expertise, and audit report lag: Empirical evidence from the individual level. Cogent Business & Management, 7(1), 1823587. https://doi.org/10.1080/23311975.2020.1823587
Alodat, A. Y., Al Amosh, H., Khatib, S. F. A., & Mansour, M. (2023). Audit committee chair effectiveness and firm performance: The mediating role of sustainability disclosure. Cogent Business & Management, 10(1), 2181156. https://doi.org/10.1080/23311975.2023.2181156
Apriliana, S., & Agustina, L. (2017). The Analysis of Fraudulent Financial Reporting Determinant through Fraud Pentagon Approach. Jurnal Dinamika Akuntansi, 9(2), 154–165. https://doi.org/10.15294/jda.v7i1.4036
Ayati, E. E. T., & Mulya, A. S. (2024). Which is better at detecting financial statement fraud: Beneish M-Score or OMI model. 2.
Beasley, M. S., Carcello, J. V., Hermanson, D. R., & Lapides, P. D. (2000). Fraudulent Financial Reporting: Consideration of Industry Traits and Corporate Governance Mechanisms. Accounting Horizons, 14(4), 441–454. https://doi.org/10.2308/acch.2000.14.4.441
Beneish, M. D. (1999). The Detection of Earnings Manipulation. Financial Analysts Journal, 55(5), 24–36. https://doi.org/10.2469/faj.v55.n5.2296
Cressey, D. R. (1968). The Criminal Violation of Financial Trust. Routledge.
Dechow, P., Ge, W., & Schrand, C. (2010). Understanding earnings quality: A review of the proxies, their determinants and their consequences. Journal of Accounting and Economics, 50(2–3), 344–401. https://doi.org/10.1016/j.jacceco.2010.09.001
DeFond, M. L., & Francis, J. R. (2005). Audit Research after Sarbanes-Oxley.
Devi, P. N. C., Widanaputra, A. A. G. P., Budiasih, I. G. A. N., & Rasmini, N. K. (2021). The Effect of Fraud Pentagon Theory on Financial Statements: Empirical Evidence from Indonesia. The Journal of Asian Finance, Economics and Business, 8(3), 1163–1169. https://doi.org/10.13106/JAFEB.2021.VOL8.NO3.1163
Dias-Oliveira, E., Morais, C., Pasion, R., & Hodgson, J. (2024). “It Is No Big Deal!”: Fraud Diamond Theory as an Explanatory Model for Understanding Students’ Academic Fraudulent Behavior. Sage Open, 14(3), 21582440241266091. https://doi.org/10.1177/21582440241266091
Dwijayani, S., Sebrina, N., & Halmawati, H. (2019). Analisis Fraud Triangle Untuk Mendeteksi Kecurangan Laporan Keuangan: JURNAL EKSPLORASI AKUNTANSI, 1(1), 445–458. https://doi.org/10.24036/jea.v1i1.86
Fenyves, V., Pisula, T., & Tarnoczi, T. (2023). Investigation of accounting manipulation using the Beneish model: Hungarian case. Economics & Sociology, 16(4), 347–363. https://doi.org/10.14254/2071-789X.2023/16-4/18
Ghozali, I., & Hadiprajitno, P. T. (2016). Factors Affecting The Government Procurement Fraud: The Independent Auditor’s Point Of View Evidence From Indonesia. 12(3).
Hakim, M. Z., Dewi Rachmania, Galang Reza Firdaus Budiutomo, Yola Dyfa Meisari, Helen Retno Wulandari, & Thorik Satria Ilmi. (2024). Can Audit Quality Moderate The Fraud Hexagon On Financial Report Fraud In Consumer Cyclicals Sector? International Journal of Accounting, Management, Economics and Social Sciences (IJAMESC), 2(3), 832–844. https://doi.org/10.61990/ijamesc.v2i3.231
Healy, P. M., & Palepu, K. G. (2003). The Fall of Enron. Journal of Economics Perspectives, 17(2), 3–26. https://doi.org/DOI: 10.1257/089533003765888403
Indarto, S. L., & Ghozali, I. (2016). Fraud diamond: Detection analysis on the fraudulent financial reporting. Risk Governance and Control: Financial Markets and Institutions, 6(4), 116–123. https://doi.org/10.22495/rcgv6i4c1art1
Indriana, D., & Anshori, M. (2022). Internal Control Moderates The Influence Of The Fraud Hexagon On Financial Statement Fraud. Berkala Akuntansi Dan Keuangan Indonesia, 7(2), 239–265. https://doi.org/10.20473/baki.v7i2.36732
Isahak, M. S., Roslan, N. A. H., Abdul Tahrim, N. S. I., Zawari, S. A., Mohd Najib, W. N. A., & Lajuni, N. (2023). Factors Influencing Fraudulent in Financial Reporting Using Fraud Triangle Theory in Malaysia: A Conceptual Paper. International Journal of Academic Research in Business and Social Sciences, 13(6), Pages 1469-1487. https://doi.org/10.6007/IJARBSS/v13-i6/17291
Jensen, M. C., & Meckling, W. H. (1976). Theory of the Firm: Managerial Behavior, Agency Costs and Ownership Structure (1st Edition). Taylor & Francis.
Kaab Omeir, A., Vasiliauskaite, D., & Soleimanizadeh, E. (2023). Detection of financial statements fraud using Beneish and Dechow models. Journal of Governance and Regulation, 12(3, special issue), 334–344. https://doi.org/10.22495/jgrv12i3siart15
Karpoff, J. M. (2021). The future of financial fraud. Journal of Corporate Finance, 66, 101694. https://doi.org/10.1016/j.jcorpfin.2020.101694
Kieso, D. E., Weygandt, J. J., & Warfield, T. D. (2019). Intermediate Accounting. Wiley.
Klein, A. (2002). Audit committee, board of director characteristics, and earnings management$. Journal of Accounting and Economics.
KPMG. (2016). Global Profiles of the Fraudster 2016: Techology Enables and Weak Controls Fuel the
Fraud. Retrieved from https://kpmg.com/sg/en/home/insights/2016/05/global-profiles-of-the-fraudster.html
Kroon, N., Alves, M. D. C., & Martins, I. (2021). The Impacts of Emerging Technologies on Accountants’ Role and Skills: Connecting to Open Innovation—A Systematic Literature Review. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 163. https://doi.org/10.3390/joitmc7030163
Lashmar, P., & Hobbs, D. (2018). Diamonds, gold and crime displacement: Hatton Garden, and the evolution of organised crime in the UK. Trends in Organized Crime, 21(2), 104–125. https://doi.org/10.1007/s12117-017-9320-9
Lou, Y.-I., & Wang, M.-L. (2011). Fraud Risk Factor Of The Fraud Triangle Assessing The Likelihood Of Fraudulent Financial Reporting. Journal of Business & Economics Research (JBER), 7(2). https://doi.org/10.19030/jber.v7i2.2262
Machado, M. R. R., & Gartner, I. R. (2017). The Cressey hypothesis (1953) and an investigation into the occurrence of corporate fraud: An empirical analysis conducted in Brazilian banking institutions. Revista Contabilidade & Finanças, 29(76), 60–81. https://doi.org/10.1590/1808-057x201803270
Maharani, S. P. (2023). The Influence of The S.C.C.O.R.E Model On Financial Statement Fraud In Lq-45 Indexed Companies With The Beneish M-Score Method. 7(3).
Miharsi, D., Gamayuni, R. R., & Dharma, F. (2023). Analysis Of The Utilization Of Altman Z-Score, Beneish M-Score, And F-Score Model In Detecting Fraudulent Of Financial Reporting: A Literature Review. Marginal Journal Of Management Accounting General Finance And International Economic Issues, 3(2), 353–364. https://doi.org/10.55047/marginal.v3i2.954
Price Waterhouse Cooper (PwC). (2020). Global Economic Crime and Fraud Survey 2020. Retrieved from https://www.pwc.com/gx/en/services/forensics/economic-crime-survey.html
Puspitha, M. Y., & Yasa, G. W. (2018). Fraud Pentagon Analysis in Detecting Fraudulent Financial Reporting (Study on Indonesian Capital Market). International Journal of Sciences, 42(5).
Rezaee, Z. (2002). Financial statement fraud: Prevention and detection. Wiley.
Sari, M. P., Mahardika, E., Suryandari, D., & Raharja, S. (2022). The audit committee as moderating the effect of hexagon’s fraud on fraudulent financial statements in mining companies listed on the Indonesia stock exchange. Cogent Business & Management, 9(1), 2150118. https://doi.org/10.1080/23311975.2022.2150118
Sholehah, N. L. H. (2020). Pengaruh Kompetensi dan Independensi Auditor terhadap Kualitas Audit. 1(2).
Sihombing, T., & Eirene Panggulu, G. (2022). Fraud Hexagon Theory And Fraudulent Financial Statement In IT Industry In Asean. Jurnal Reviu Akuntansi Dan Keuangan, 12(3), 524–544. https://doi.org/10.22219/jrak.v12i3.23334
Skousen, C. J., Smith, K. R., & Wright, C. J. (2009). Detecting and predicting financial statement fraud: The effectiveness of the fraud triangle and SAS No. 99. In M. Hirschey, K. John, & A. K. Makhija (Eds.), Advances in Financial Economics (Vol. 13, pp. 53–81). Emerald Group Publishing Limited. https://doi.org/10.1108/S1569-3732(2009)0000013005
Sukmadilaga, C., Winarningsih, S., Handayani, T., Herianti, E., & Ghani, E. K. (2022). Fraudulent Financial Reporting in Ministerial and Governmental Institutions in Indonesia: An Analysis Using Hexagon Theory. Economies, 10(4), 86. https://doi.org/10.3390/economies10040086
Tessa, G., & Harto, C. (2020). Fraudulent Financial Reporting: Pengujian Teori Fraud Pentagon Pada Sektor Keuangan dan Perbankan di Indonesia [Thesis, Diponegoro University]. https://repofeb.undip.ac.id/id/eprint/3513
Trijayanti, I., Hendri, N., & Sari, G. P. (n.d.). Pengaruh Komite Audit, Audit Internal, dan Whistleblowing System Terhadap Pencegahan Fraud.
Utomo, S. D., Machmuddah, Z., & Pamungkas, I. D. (2019). The Effect Of Auditor Switching And Managerial Ownership On Fraudulent Financial Statement. 16.
Vousinas, G. L. (2019). Advancing theory of fraud: The S.C.O.R.E. model. Journal of Financial Crime, 26(1), 372–381. https://doi.org/10.1108/JFC-12-2017-0128
Wahyuni, W., & Budiwitjaksono, G. S. (2017). Fraud Triangle Sebagai Pendeteksi Kecurangan Laporan Keuangan. Jurnal Akuntansi, 21(1), 47. https://doi.org/10.24912/ja.v21i1.133
Wardhani, D. K., Muid, D., Farida, N., & Diponegoro University, Indonesia. (2024). Indonesia’s Banking Excellence In The Eyes Of Crowe’s Fraud Pentagon. Economics and Finance, 4–12. https://doi.org/10.51586/2754-6209.2024.12.1.4.12
Wolfe, D. T., & Hermanson, D. R. (2004). The Fraud Diamond: Considering the Four Elements of Fraud. CPA Journal, 74(12), 38–42.
Zakiy, M. F., Pramono, H., Wahyuni, S., & Inayati, N. I. (2022). Perspective Of Crowe’s Fraud Pentagon In Detecting Fraudulent Financial Statement. International Journal, 6(4).
Zulaikha, Ghozali, I., & Hadiprajitno, P. T. (2016). Factors affecting the government procurement fraud: The independent auditor’s point of view evidence from Indonesia. Corporate Board: Role, Duties and Composition, 12(3), 61–68. https://doi.org/10.22495/cbv12i3art7
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