Detecting Indications of Financial Statement Fraud: a Hexagon Fraud Theory Approach
DOI:
https://doi.org/10.26740/jaj.v13n1.p119-131Keywords:
hexagon fraud theory, Beneish M-Score model, stimulus, capability, collusion, opportunity, rationalization, egoAbstract
This study emphasizes on examining the fraud hexagon theory referring to signs of fraud of financial statements, which employs all manufacturing companies listed in the IDX (Indonesia Stock Exchange). However, total selected sample are 153 of the manufacturing industry. The companies are categorized into indicated and not indicated committing fraud in the 2010-2018 period by applying the Beneish M-Score. The findings demonstrated that financial stability, the financial targets, the external pressures, the nature of industry, and CEO duality can be applied to predict fraud of financial statements. Meanwhile, personal financial needs, ineffective monitoring, quality of external auditors, auditor turnover, director turnover, and marginal costs cannot indicate occurrence of the fraud of financial statement. The findings conclude that pressure, ego, and opportunity significantly affect the financial statement fraud. Future research are suggested to consider different proxies for fraudulent financial statements; hence, the accuracy of the proxies can be compared with this study. Moreover, adding other proxies of conspiracy such as bonuses received by managers will be beneficial.
References
CFE. (2014). Report to the Nation on Occupational Fraud and Abusive 2014. Association of Certified Fraud Examiners. https://doi.org/10.3103/S106833721405003XACFE. (2016). Report To the Nations On Occupational Fraud and Abuse 2016. ACFE Report, 1–92.ACFE. (2018). Global Study on Occupational Fraud and Abuse 2018. Association of Certified Fraud Examiners, 10, 80.
Akbar, T. (2017). the Determination of Fraudulent Financial Reporting Causes By Using Pentagon Theory on Manufacturing Companies in Indonesia. International Journal of Business, Economics and Law, 14(5), 106–113.
Annisya, M., Lindrianasari, & Asmaranti, Y. (2016). Pendeteksian Kecurangan Laporan Keuangan Menggunakan Fraud Diamond. Jurnal Bisnis Dan Ekonomi (JBE), 23(1), 72–89.
Aprillia, A., Cicilia, O., Pertiwi Sergius, R., 2015. The Effectiveness Of Fraud Triangle On Detecting Fraudulent Financial Statement: Using Beneish Model And The Case Of Special Companies. JRAK 3, 786. https://doi.org/10.17509/jrak.v3i3.6621
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
Ayem, S., & Astuti. (2019). Konsep Fraud Diamond Dan Financial StatementFraud (Studi Empiris Pada Perusahaan Manufaktur Yang Terdaftar di Bursa Efek Indonesia Tahun 2014-2018). Jurnal Ilmiah Akuntansi Dan Humanika, 9(3), 235–246.
Basuki, & Yulia, A. W. (2016). Studi Financial Statement Fraud pada Perbankan yang Terdaftar Di Bursa Efek Indonesia. Jurnal Ekonomi Dan Bisnis, (2), 187–200.
Beneish, M.D., 1999. The Detection of Earnings Manipulation. Financial Analysts Journal 55, 24–36. https://doi.org/10.2469/faj.v55.n5.2296
Chen, J., Cumming, D., Hou, W., Lee, E., 2016. Does theExternal Monitoring Effect of Financial Analysts Deter Corporate Fraud in China? J Bus Ethics 134, 727–742. https://doi.org/10.1007/s10551-014-2393-3
Cressey, D.R., 1950. The Criminal Violation of Financial Trust. American Sociological Review 15, 738. https://doi.org/10.2307/2086606
Crowe, Horwarth. 2011. The Mind Behind The Fraudsters Crime: Key Behavioral ad Eviromental Element. Crowe Horwarth International. USA
Fonseca, M.A., Normann, H., 2008. Mergers, Asymmetries and Collusion: Experimental Evidence. The Economic Journal 118, 387–400. https://doi.org/10.1111/j.1468-0297.2007.02126.x
Harman, S. A., & Bernawati, Y. (2020). Determinants of Financial Statement Fraud: Fraud Pentagon Perspective in Manufacturing Companies. International Journal of Innovation, Creativity and Change, 13(4), 1453–1472. Retrieved from www.ijicc.net
Huang, S.Y., Lin, C.-C., Chiu, A.-A., Yen, D.C., 2017. Fraud detection using fraud triangle risk factors. Inf Syst Front 19, 1343–1356. https://doi.org/10.1007/s10796-016-9647-9
Husmawati, P., Septriani, Y., Rosita, I., & Handayani, D. (2017). Fraud Pentagon Analysis in Assessing the Likelihood of Fraudulent Financial Statement (Study on Manufacturing Firms Listed in Bursa Efek Indonesia Period 2013-2016). International Conferenceof Applied Science on Engineering, Business, Linguistics and Information Technology (ICo-ASCNITech), (October), 45–51.
Imam, Ghozali. 2011. Multivariate Analysis Application with IBM SPSS 19 Program. Semarang: Diponegoro University Publishing Board
Kranacher, M. J., R. A. Riley Jr., and J. T. Wells (2011). Forensic Accounting and Fraud Examination. New York, NY: John Wiley & Sons.Lin, J.W., Hwang, M.I., Becker, J.D., 2003. A fuzzy neural network to assess the risk of fraudulent financial reporting. Managerial Auditing Journal 18, 657–665.https://doi.org/10.1108/02686900310495151
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), 61–78. https://doi.org/10.19030/jber.v7i2.2262
Nanda, S. tri, Salmiah, N., & Mulyana, D. (2019). Fraudulent Financial Reporting: a Pentagon Fraud Analysis. Jurnal Ilmiah Ekonomi Dan Bisnis, 16(2), 122–134. https://doi.org/10.31849/jieb.v16i2.2678
Ozcelik, H. (2020). An Analysis of Fraudulent Financial Reporting Using the Fraud Diamond Theory Perspective: An Empirical Study on the Manufacturing Sector Companies Listed on the Borsa Istanbul. Contemporary Studies in Economic and Financial Analysis, 102, 131–153. https://doi.org/10.1108/s1569-375920200000102012
Phillips, O.R., Menkhaus, D.J., Thurow, J.N., 2011. The Small Firm in a Quantity Choosing Game: Some Experimental Evidence. Rev Ind Organ 38, 191–207. https://doi.org/10.1007/s11151-011-9277-9
Quraini, F., & Rimawati, Y. (2018). Determinan Fraudulent Financial Reporting Using Fraud Pentagon Analysis. Journal of Auditing, Finance, and Forensic Accounting (Jaffa), 6(2), 105–114.
Rahmatika, D.N., Kartikasari, M.D., Dewi Indriasih, D., Sari, I.A., Mulia, A., 2019. Detection of Fraudulent Financial Statement; Can Perspective of Fraud Diamond Theory be applied to Property, Real Estate, and Building Construction Companies in Indonesia? EJBMR 4. https://doi.org/10.24018/ejbmr.2019.4.6.139
Rengganis, RR. M.Y.D., Sari, M.M.R., Budiasih, I.G.A.N., Wirajaya, I.G.A., Suprasto, H.B., 2019. The fraud diamond: element in detecting financial statement of fraud. irjmis 6, 1–10. https://doi.org/10.21744/irjmis.v6n3.621
Rukmana, H. S. (2018). Determinan Fraud Diamond Dalam Mendeteksi Financial Statement Fraud Dan Nilai Perusahaan. Jurnal Economicus, 9(1), 12–25.
Salim, S., Siswanto, H. P., Wijaya, H., &Angela, J. (2021). Factors Affecting Financial Shenanigans in the Perspective of Fraud Triangle : An Empirical Study Among Manufacturing Companies Listed in Indonesia Stock Exchange . Proceedings of the Ninth International Conference on Entrepreneurship and Business Management (ICEBM 2020), 174(99), 420–427. https://doi.org/10.2991/aebmr.k.210507.063
Setiawati, E., & Baningrum, R. M. (2018). Deteksi Fraudulent Financial Reporting Menggunakan Analisis Fraud Pentagon : Studi Kasus Pada Perusahaan ManufakturYang Listed Di Bei Tahun 2014-2016. Riset Akuntansi Dan Keuangan Indonesia, 3(2), 91–106. https://doi.org/10.23917/reaksi.v3i2.6645
Siddiq, R., Achyani, F., & Zulfikar. (2017). Fraud Pentagon Dalam Mendeteksi Financial Statement. Seminar Nasional Dan the 4Th Call Syariah Paper, 1–14. Retrieved from http://hdl.handle.net/11617/9210
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 Corporate Governance and Firm Performance(Vol. 32). https://doi.org/10.1108/S1569-3732(2011)0000014001
Sukirman, & Sari, M. P. (2013). Model Deteksi Kecurangan Berbasis Fraud Triangle. Jurnal Akuntansi Dan Auditing, 9(2), 199–225. https://doi.org/10.14710/jaa.v9i2.5994
Sutherland, E. H. (1940). White-collar criminality.American sociological review, 5(1), pp. 1-12. [1]Taherinia, M., Talebi, R., 2019. Ability Of Fraud Triangle, Fraud Diamond, Beneish M Score,And Altman Z Score To Predict Financial Statements Fraud 14.Tiffani, L., & Marfuah. (2015). Deteksi Financial Statement Fraud dengan Analisis Fraud Triangel pada Perusahaan Manufaktur yang Terdaftar Di Bursa Efek Indonesia. Jurnal Akuntansi Dan Auditing Indonesia, 19(2), 112–125.
Triyanto, D.N., 2019. Fraudulence Financial Statements Analysis using Pentagon Fraud Approach. JAAB 2, 26. https://doi.org/10.24198/jaab.v2i2.22641
Ulfah, M., Nuraina, E., & Wijaya, A. L. (2017). Pengaruh Fraud Pentagon dalam Mendeteksi Fraudulent Financial Reporting (Studi Empiris pada Perbankan di Indonesia yang Terdaftar di BEI). Paper Dipresentasikan Di Forum Ilmiah Pendidikan Akuntansi, 5(1), 399–417.
Utami, E.R., Pusparini, N.O., 2019. The Analysis Of Fraud Pentagon Theory And Financial Distress For Detecting Fraudulent Financial Reporting In Banking Sector In Indonesia (Empirical Study Of Listed Banking Companies On Indonesia Stock Exchange In 2012-2017), in: Proceedings of the 5th International Conference on Accounting and Finance (ICAF 2019). Presented at the Proceedings of the 5th International Conference on Accounting and Finance (ICAF 2019), Atlantis Press, Yogyakarta, Indonesia. https://doi.org/10.2991/icaf-19.2019.10
Vousinas, G. L. (2019). Advancing theory of fraud: The S.C.O.R.E. Model. Journal of Financial Crime.
Wicaksana, E. A., & Suryandari, D. (2019). Pendeteksian kecurangan laporan keuangan pada perusahaan pertambangan di bursa efek indonesia. Jurnal RAK (Riset Akuntansi Keuangan), 4(1), 44–59.
Wilhelm, W. K. (2004). The Fraud Management Lifecycle Theory : A Holistic Approach to Fraud Management . Journal of Economic Crime Management, 2(2), 1–38.
Wolfe, D. T., & Hermanson, D. R. (2004). The Fraud Diamond : Considering the Four Elements of Fraud. The CPA Journal, 74(12), 38–42.
Yesiariani, M.,&Rahayu, I.(2016).Deteksi Financial Statement Fraud: Pengujian dengan Fraud Diamond. Jurnal Akuntansi & Auditing Indonesia, 21(1), 49-60. https://doi.org/10.20885/jaai.vol21.iss1.art5
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