Main Article Content

Abstract

Purpose: This study examines the influence of the fraud hexagon elements—pressure, opportunity, rationalization, capability, ego, and collusion—on detecting fraudulent financial statements in manufacturing companies listed on the Indonesia Stock Exchange (IDX).


Research Design and Methodology: The research, meticulously designed, focuses on a sample of 52 manufacturing companies listed on the IDX from 2019 to 2021, selected using purposive sampling based on specific criteria. The fraud hexagon elements are measured through variables such as financial targets, changes in directors, political connections, the nature of the industry, auditor changes, and multiple CEO positions. The data analysis is conducted using multiple linear regression to assess the impact of these variables on financial statement fraud.


Findings and Discussion: The findings, of significant importance, indicate that financial targets, changes in directors, and CEO duality have a positive and significant effect on fraudulent financial statements, suggesting that these factors increase the likelihood of fraud. The nature of the industry exhibits a negative and significant effect, implying that certain industry characteristics may reduce fraud risk. In contrast, political connections and auditor changes show a negative and insignificant effect, indicating no substantial impact on fraud detection.


Implications: The study highlights the importance of considering multiple governance and operational factors when assessing fraud risk. It suggests that firms and regulators should enhance oversight mechanisms, particularly in areas where fraud risk is heightened due to management dynamics or financial pressures.

Keywords

Fraud hexagon f-score Financial Statement

Article Details

How to Cite
Rahmawati, R., Lannai, D., & Shaleh, M. (2024). The Influence of Fraud Hexagon on Financial Statement Fraud. Advances in Managerial Auditing Research, 2(3), 130–143. https://doi.org/10.60079/amar.v2i3.146

References

  1. Achmad, T., Ghozali, I., & Pamungkas, I. D. (2022). Hexagon fraud: Detection of fraudulent financial reporting in state-owned enterprises Indonesia. Economies, 10(1), 13. https://doi.org/10.3390/economies10010013
  2. Achyani, B. G. S. F. (2023). Determinant Analysis of Fraudulent Financial Statements in Perspective of Fraud Hexagon Theory and Covid-19 (Empirical Study of Manufacturing Companies in the Goods and Consumption Sector Listed on the IDX. https://doi.org/10.5281/zenodo.7687515
  3. Almalki, K. (2022). Factors engendering corporate fraud and mechanisms for enhancing the detection and prevention of fraudulent financial practices in the UK retail industry. University of Sheffield. https://etheses.whiterose.ac.uk/32066/
  4. Bader, A. A., Abu Hajar, Y. A., Weshah, S. R. S., & Almasri, B. K. (2024). Predicting Risk of and Motives behind Fraud in Financial Statements of Jordanian Industrial Firms Using Hexagon Theory. Journal of Risk and Financial Management, 17(3), 120. https://doi.org/10.3390/jrfm17030120
  5. Bancin, N. E. S., & Baihaqi, B. (2023). The influence of fraud hexagon on indication fraud. Enrichment: Journal of Management, 13(5), 2970–2980. https://doi.org/10.35335/enrichment.v13i5.1714
  6. Bayagub, A., Wafirotin, K. Z., & Mustoffa, A. F. (2019). Analisis elemen-elemen fraud pentagon sebagai determinan fraudulent financial reporting (Studi pada perusahaan property dan real estate yang terdaftar di Bursa Efek Indonesia periode 2014-2016). ISOQUANT: Jurnal Ekonomi, Manajemen Dan Akuntansi, 2(2), 1–11. https://doi.org/10.24269/ISO.V2I2.184
  7. Budiyanto, W., & Puspawati, D. (2022). Analisis Fraud Hexagon Dalam Mendeteksi Financial Statement Fraud. E-Prosiding Akuntansi, 3(1). https://doi.org/10.31326/.v3i1.1213
  8. Chen, D., Wang, F., & Xing, C. (2021). Financial reporting fraud and CEO pay-performance incentives. Journal of Management Science and Engineering, 6(2), 197–210. https://doi.org/https://doi.org/10.1016/j.jmse.2020.07.001
  9. Comer, M. J. (2017). Corporate fraud. Routledge.
  10. Cressey, D. R. (1953). Other people’s money; a study of the social psychology of embezzlement. Patterson Smith.
  11. da Costa, A. P. P. (2017). Corporate governance and fraud: Evolution and considerations. Corporate Governance and Strategic Decision Making, 23(1), 15–23.
  12. Damayani, F., Wahyudi, T., & Yuniartie, E. (2017). Pengaruh Fraud Pentagon Terhadap Kecurangan Laporan Keuangan Pada Perusahaan Infrastruktur Yangterdaftar Di Bursa Efek Indonesiatahun 2014–2016. Akuntabilitas, 11(2), 151–170. https://doi.org/10.29259/ja.v11i2.8936
  13. Dasman, S., & Nida, N. A. (2022). Dampak Kondisi Industri dan Pergantian Auditor terhadap Kecurangan Laporan Keuangan. Jesya (Jurnal Ekonomi Dan Ekonomi Syariah), 5(2), 1930–1941. https://doi.org/10.36778/jesya.v5i2.771
  14. Donelson, D. C., Ege, M. S., & McInnis, J. M. (2017). Internal control weaknesses and financial reporting fraud. Auditing: A Journal of Practice & Theory, 36(3), 45–69.
  15. Faradiza, S. A. (2019). Fraud Pentagon Dan Kecurangan Laporan Keuangan. EkBis: Jurnal Ekonomi Dan Bisnis, 2(1), 1. https://doi.org/10.14421/ekbis.2018.2.1.1060
  16. Feinberg, R., & Larson, N. (2024). Multi-market contact, tacit collusion, and decentralized managerial decision-making. International Journal of Industrial Organization, 97, 103100. https://doi.org/https://doi.org/10.1016/j.ijindorg.2024.103100
  17. Habib, A., Ranasinghe, D., Muhammadi, A. H., & Islam, A. (2018). Political connections, financial reporting and auditing: Survey of the empirical literature. Journal of International Accounting, Auditing and Taxation, 31, 37–51. https://doi.org/https://doi.org/10.1016/j.intaccaudtax.2018.05.002
  18. Hussain, M. (2014). Corporate fraud: the human factor. A&C Black.
  19. Ibrahim, I. H., Haliah, H., & Habbe, A. H. (2022). Pengaruh Tekanan Waktu, Konflik Peran dan Integritas terhadap Kualitas Audit dengan Stres Kerja Sebagai Variabel Intervening. Owner, 7(1), 102–122. https://doi.org/10.33395/owner.v7i1.1347
  20. Iweriebor, L. E. (2023). Approach to Medicare Provider Fraud Detection and Prevention. Capitol Technology University. https://www.proquest.com/openview/7604b0fe90a322f5384acb60db6700a3/1?pq-origsite=gscholar&cbl=18750&diss=y
  21. Jensen, M. C., & Meckling, W. H. (1976). Also published in Foundations of Organizational Strategy. Journal of Financial Economics, 4, 305–360. http://ssrn.com/abstract=94043Electroniccopyavailableat:http://ssrn.com/abstract=94043http://hupress.harvard.edu/catalog/JENTHF.html
  22. Kusumosari, L., & Solikhah, B. (2021). Analisis Kecurangan Laporan Keuangan Melalui Fraud Hexagon Theory. Fair Value: Jurnal Ilmiah Akuntansi Dan Keuangan, 4(3), 753–767. https://doi.org/10.32670/fairvalue.v4i3.735
  23. Peltier-Rivest, D. (2018). A model for preventing corruption. Journal of Financial Crime, 25(2), 545–561. https://doi.org/10.1108/JFC-11-2014-0048
  24. Rahman, M. J., & Jie, X. (2024). Fraud detection using fraud triangle theory: evidence from China. Journal of Financial Crime, 31(1), 101–118. https://doi.org/10.1108/jfc-09-2022-0219
  25. Rasheed, F., Said, J., & Khan, N. I. (2023). Evolution Of Fraud-Related Theories: A Theoretical Review. Journal of Nusantara Studies (JONUS), 8(3), 322–350. https://doi.org/10.24200/jonus.vol8iss3pp322-350
  26. Rendon, J. M., & Rendon, R. G. (2022). Analyzing procurement fraud in the US Navy. Journal of Financial Crime, 29(4), 1297–1317. https://doi.org/10.1108/JFC-09-2021-0207
  27. Sagala, S. G., & Siagian, V. (2021). Pengaruh Fraud Hexagon Model Terhadap Fraudulent Laporan Keuangan pada Perusahaan Sub Sektor Makanan dan Minuman yang Terdaftar di BEI Tahun 2016-2019. Jurnal Akuntansi, 13(2), 245–259. https://doi.org/10.28932/jam.v13i2.3956
  28. Schuchter, A., & Levi, M. (2016). The Fraud Triangle revisited. Security Journal, 29(2), 107–121. https://doi.org/10.1057/sj.2013.1
  29. Septriani, Y., & Handayani, D. (2018). Mendeteksi Kecurangan Laporan Keuangan dengan Analisis Fraud Pentagon. Jurnal Politeknik Caltex Riau, 11, 1–13. https://www.neliti.com/publications/443037/mendeteksi-kecurangan-laporan-keuangan-dengan-analisis-fraud-pentagon#cite
  30. Setiawati, E., & Baningrum, R. M. (2018). Deteksi Fraudulent Financial Reporting Menggunakan Analisis Fraud Pentagon : Studi Kasus Pada Perusahaan Manufaktur Yang Listed Di Bei Tahun 2014-2016. Riset Akuntansi Dan Keuangan Indonesia, 3(2), 91–106. https://doi.org/10.23917/reaksi.v3i2.6645
  31. Sihombing, K. S., & Rahardjo, S. N. (2014). Analisis fraud diamond dalam mendeteksi financial statement fraud: studi empiris pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) Tahun 2010-2012. Fakultas Ekonomika dan Bisnis.
  32. van Driel, H. (2019). Financial fraud, scandals, and regulation: A conceptual framework and literature review. Business History, 61(8), 1259–1299. https://doi.org/10.1080/00076791.2018.1519026
  33. Van Driel, H. (2018). Financial fraud, scandals, and regulation: A conceptual framework and literature review. Business History. https://doi.org/10.1080/00076791.2018.1519026
  34. Widoatmodjo, G. F. T. S. (2022). Pengaruh Keamanan Finansial, Minat Dalam Masalah Keuangan, Kebutuhan Tabungan Untuk Berjaga-Jaga, Dan Gaya Pengambilan Keputusan Terhadap Aktivitas Perdagangan Investor Retail Di Pasar Modal Selama Pandemi Covid-19. 04(02), 369–377.
  35. Yang, D., Jiao, H., & Buckland, R. (2017). The determinants of financial fraud in Chinese firms: Does corporate governance as an institutional innovation matter? Technological Forecasting and Social Change, 125(August 2015), 309–320. https://doi.org/10.1016/j.techfore.2017.06.035
  36. Yulianti, Y., Sari, R. N., Santoso, A., Ekdjaja, M., & Rorlen, R. (2024). Financial Statement Fraud Detection: The Hexagon Fraud Model Approach. Atestasi: Jurnal Ilmiah Akuntansi, 7(1), 674–686. https://doi.org/10.57178/atestasi.v7i1.856
  37. Zahara, A. L., & Ratnawati, D. (2024). Analisis Fraud Hexagon Terhadap Kecurangan Laporan Keuangan Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia Periode 2019-2022. Journal of Economic, Bussines and Accounting (COSTING), 7(4), 8478–8489. https://doi.org/10.31539/costing.v7i4.10458