Influence of Early Detection, Anti-Fraud Strategies, and Authority Levels on Median Loss

Irsyad F. Prasetia, Haidar Faiz Rabbani

Abstract


This research examines the impact of early detection, anti- fraud strategies, and the level of authority of the perpetrator on the median loss due to fraud in the employment sector across the Asia-Pacific region. The study utilizes data from the ACFE report (2024), with a sample of selected cases analyzed through multiple linear regression. The findings indicate that early detection has a significant positive influence on median loss, while anti-fraud strategies exhibit a significant negative effect. Additionally, the authority level of the perpetrator is found to have a significant positive relationship with median loss. These results suggest that improved early detection and more robust anti-fraud measures can help mitigate losses, whereas individuals with higher authority are more likely to cause greater financial damage. The study recommends that organizations in the Asia-Pacific region enhance early detection mechanisms, refine anti-fraud strategies, and strengthen oversight of high-authority personnel to reduce the risk of fraud.


Keywords


Anti-Fraud Strategy, Asia-Pacific, Early Detection, Fraud Prevention, Occupational Fraud, Perpetrator Authority.

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References


ACFE. (2024). Association of Certified Fraud Examiners The Nations Occupational Fraud 2024 :A Report To The Nations. In Association of Certified Fraud Examiners. https://legacy.acfe.com/report-to-the-nations/2024/

Adekoya, A. A., Olaoye, S. A., & Lawal, B. A. (2023). Internal Audit Values and Fraud Detection: An Empirical Analysis. Asian Journal of Economics Business and Accounting, 23(17), 162–172. https://doi.org/10.9734/ajeba/2023/v23i171051

Agyemang, S. K., Ohalehi, P., Mgbame, O. C., & ALo, K. A. (2022). Reducing Occupational Fraud Through Reforms in Public Sector Audit: Evidence From Ghana. Journal of Financial Crime, 30(3), 702–715. https://doi.org/10.1108/jfc-03-2022-0066

Al-Abedi, T. K. (2023). Empirical Study for the Strategic Role of Internal Audit in Dedicating Fraud Risk in the Financial Statement: Evidence From Iraq. Journal of Economics & Administration, 133, 308–322. https://doi.org/10.31272/jae.i133.947

Astuty, K. (2022). The Effect of Organizational Commitment, Moral Leadership, Work Environment, Religiusity and Love of Money Towards Fraud Intention. Jurnal Ekonomi Manajemen Akuntansi Dan Keuangan, 3(1). https://doi.org/10.53697/emak.v3i1.421

Badu, J. K. (2025). Fraud Risk in Focus . A Qualitative Analysis of Internal Audit Role in Fraud Risk Management in Africa Fraud Risk in Focus . A Qualitative Analysis of Internal Audit Role in Fraud Risk Management in Africa. March. https://doi.org/10.51137/wrp.ijarbm.2025.jbfa.45660

Bakar, M. H. B. A., Kamal, M., & Ishak, M. S. (2023). The Tendency for Occupational Fraud in Malaysian Small Medium Enterprises and the Effect of Internal Control, Ethical Culture and Awareness on Fraud. International Journal of Academic Research in Business and Social Sciences, 13(1). https://doi.org/10.6007/ijarbss/v13-i1/16293

Brahimi, S., & Elhussein, M. (2023). Measuring the Effect of Fraud on Data-Quality Dimensions. Data, 8(8), 124. https://doi.org/10.3390/data8080124

Carcillo, F., Pozzolo, A. D., Borgne, Y. L., Caelen, O., Mazzer, Y., & Bontempi, G. (2018). SCARFF : A Scalable Framework for Streaming Credit Card Fraud Detection With Spark. Information Fusion, 41, 182–194. https://doi.org/10.1016/j.inffus.2017.09.005

Chang, V., Doan, L. M. T., Stefano, A. D., Sun, Z., & Fortino, G. (2022). Digital Payment Fraud Detection Methods in Digital Ages and Industry 4.0. Computers & Electrical Engineering, 100, 107734. https://doi.org/10.1016/j.compeleceng.2022.107734

Cheliatsidou, A., Sariannidis, N., Garefalakis, A., Azibi, J., & Kagias, P. (2021). The International Fraud Triangle. Journal of Money Laundering Control, 26(1), 106–132. https://doi.org/10.1108/jmlc-09-2021-0103

Christian, N., J, J., & A, A. (2023). Analisis Profil Fraudsters Terhadap Peluang dan Kerugian Fraud. Jurnal Penelitian Teori & Terapan Akuntansi (PETA), 8(1), 67–80. https://doi.org/10.51289/peta.v8i1.573

Chung, T., Sharma, P. N., Lee, C., & Pinto, J. (2021). National Culture and Occupational Fraud Magnitude: The Moderating Role of Fraud Type. Journal of Financial Reporting, 6(1), 406–435. https://doi.org/10.2308/jfar-2020-025

Daniels, D. R. (2024). Warning signs and red flags: An in-depth look into the impact of industry competitiveness on occupational fraud. In Αγαη (Vol. 15, Issue 1).

Davis, M. V, & Harris, D. (2020). Strategies to Prevent and Detect Occupational Fraud in Small Retail Businesses. International Journal of Applied Management and Technology, 19(1). https://doi.org/10.5590/ijamt.2020.19.1.04

Duan, M., Zheng, T., Gao, Y., Wang, G., Feng, Z., & Wang, X. (2024). DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection. Proceedings of the Aaai Conference on Artificial Intelligence, 38(10), 11820–11828. https://doi.org/10.1609/aaai.v38i10.29067

Faisol, F., Haryansyah, S. E., Islamy, S. N., & Anas, Z. (2024). Portrait of Risk Management as an Effort to Prevent Corporate Financial Fraud. Jakpt, 1(3), 155–163. https://doi.org/10.59407/jakpt.v1i3.586

Free, C. (2020). Looking Through the Fraud Triangle: A Review and Call for New Directions. Meditari Accountancy Research, 23(2), 175–196. https://doi.org/10.1108/medar-02-2020-0009

Herdjiono, I., & Kabalmay, B. N. (2021). Can the Fraud Triangle Detect Financial Statement Fraud? (An Empirical Study of Manufacturing Companies in Indonesia). Journal of Corporate Finance Research / Корпоративные Финансы | Issn 2073-0438, 15(3), 28–38. https://doi.org/10.17323/j.jcfr.2073-0438.15.3.2021.28-38

Hermawati, L., & Murtanto, M. (2021). The Influence of Fraud Triangle Upon the Existence of Financial Statement Fraud. Indonesian Management and Accounting Research, 18(2), 155–185. https://doi.org/10.25105/imar.v18i2.1205

Islam, S., Haque, M. M., & Karim, A. N. M. R. (2024). A Rule-Based Machine Learning Model for Financial Fraud Detection. International Journal of Electrical and Computer Engineering (Ijece), 14(1), 759. https://doi.org/10.11591/ijece.v14i1.pp759-771

Kabuye, F., Nkundabanyanga, S. K., Opiso, J., & Nakabuye, Z. (2017). Internal Audit Organisational Status, Competencies, Activities and Fraud Management in the Financial Services Sector. Managerial Auditing Journal, 32(9), 924–944. https://doi.org/10.1108/maj-09-2016-1452

Kurniawan, A., Haliah, H., & Kusumawati, A. (2024). Internal Control Analysis and Fraud Prevention Efforts in Public Sector Accounting. East Asian Journal of Multidisciplinary Research, 3(11). https://doi.org/10.55927/eajmr.v3i11.11809

Kuttiyappan, D., & Rajasekar, V. (2024). AI-Enhanced Fraud Detection: Novel Approaches and Performance Analysis. https://doi.org/10.4108/eai.23-11-2023.2343170

Meiryani, M., Sampelino, Y. R., Witjaksono, A., Sihotang, P., Anwar, Y., & Mulyadi, M. S. (2023). The Role of Information Technology in the Practice of Forensic Investigation Analysis for Fraud Disclosure in Indonesia. E3s Web of Conferences, 388, 3002. https://doi.org/10.1051/e3sconf/202338803002

Miao, S., & Wen, F. (2024). The Impact of the Organisational Structure of Tax Authorities on Tax and Accounting Fraud. Accounting and Finance, 64(3), 2735–2758. https://doi.org/10.1111/acfi.13232

Mihus, O., & Laptiev, M. (2025). Inside the Mind of the Modern Fraudster: A Ten-Year Comparative Analysis (2014–2024). Public Administration and Law Review, 1(21), 75–86. https://doi.org/10.36690/2674-5216-2025-1-75-86

Mohammad, N., Imran, M. A. U., Prabha, M., Sharmin, S., & Khatoon, R. (2024). Combating Banking Fraud With It: Integrating Machine Learning and Data Analytics. The American Journal of Management and Economics Innovations, 6(7), 39–56. https://doi.org/10.37547/tajmei/volume06issue07-04

Nasrudin. (2025). Management Fraud Jasa pada Perusahaan. The International Corporate Governance System, 6(1), 326–338. https://doi.org/10.1057/9781137360014_23

Nawawi, A., & Salin, A. S. A. P. (2018). Internal Control and Employees’ Occupational Fraud on Expenditure Claims. Journal of Financial Crime, 25(3), 891–906. https://doi.org/10.1108/jfc-07-2017-0067

Omukaga, K. O. (2020). Is the Fraud Diamond Perspective Valid in Kenya? Journal of Financial Crime, 28(3), 810–840. https://doi.org/10.1108/jfc-11-2019-0141

Othman, R., & Ameer, R. (2022). In employees we Trust: Employee fraud in small businesses. Journal of Management Control, 33(2), 189–213. https://doi.org/10.1007/s00187-022-00335-w

Patar, B. L. B., Akram, Hidayati, S. A., & Husnan, L. H. (2024). Determinants of Goods/Services Procurement Fraud With Performance Accountability as Moderation in Central Lombok Regency Government. European Journal of Theoretical and Applied Sciences, 2(1), 155–174. https://doi.org/10.59324/ejtas.2024.2(1).12

Poradová, M. (2021). Creative Accounting as One of the Global Tools for Detecting Fraud in Europe. SHS Web of Conferences, 129, 3024. https://doi.org/10.1051/shsconf/202112903024

Rae, K., & Subramaniam, N. (2008). Quality of Internal Control Procedures. Managerial Auditing Journal, 23(2), 104–124. https://doi.org/10.1108/02686900810839820

Rodríguez-Quintero, J.-F., Sánchez-Díaz, A., Iriarte-Navarro, L., Maté, A., Such, M. M., & Trujillo, J. (2021). Fraud Audit Based on Visual Analysis: A Process Mining Approach. Applied Sciences, 11(11), 4751. https://doi.org/10.3390/app11114751

Sandhu, N. (2020). Behavioural Red Flags of Fraud: An Ex Post Assessment of Types and Frequencies. Global Business Review, 21(2), 507–525. https://doi.org/10.1177/0972150919850410

Sandhu, N., & Saluja, S. (2023). Fraud Triangle as an Audit Tool. Management and Labour Studies, 48(3), 418–443. https://doi.org/10.1177/0258042x231160970

Shafitri, A., & Kitri, M. L. (2024). Impact of Whistleblowing System Implementation Level on Company’s Operational Efficiency in Indonesia Consumer Goods Sector. Journal Integration of Management Studies, 2(2). https://doi.org/10.58229/jims.v2i2.207

Suh, J. B., Shim, H. S., & Button, M. (2018). Exploring the Impact of Organizational Investment on Occupational Fraud: Mediating Effects of Ethical Culture and Monitoring Control. International Journal of Law Crime and Justice, 53, 46–55. https://doi.org/10.1016/j.ijlcj.2018.02.003

Wulandari, Prasita, P., & Syahputri, D. C. (2023). Fraud Triangle Theory Dan Perannya Terhadap Pendeteksian Dan Pencegahan Korupsi Di Sektor Publik Pemerintahan Indonesia. Abdi Equator, 3(2), 91–108.

Yang, M., & Chen, Y. (2023). Cognitive Rationalization in Occupational Fraud: Structure Exploration and Scale Development. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1112127

Zhang, N., Bo, L., Wang, S., & Wang, X. (2025). Exploring Confucian Culture’s Impact on Corporate Debt Default Risk: An Ethical Decision-Making Approach. Journal of Business Ethics, 198(2), 467–484. https://doi.org/10.1007/s10551-024-05765-1




DOI: https://doi.org/10.17509/jrak.v13i2.84712

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