DIGITAL ERA FRAUD PREVENTION USING CYBER FORENSIC ACCOUNTING TECHNIQUES IN ORGANIZATIONAL FINANCIAL SYSTEMS
Keywords:
Cyber Forensic Accounting, Fraud Prevention, Internal Control Systems, Digital Financial Systems, Big Data Analytics, Blockchain, Continuous Auditing.Abstract
This study explores the role of cyber forensic accounting techniques in preventing financial fraud within organizational financial systems in the digital era, with a focus on how these techniques are integrated with internal control systems to enhance fraud detection and prevention capabilities. This research employs a qualitative approach using a literature study method. Relevant academic sources were collected from peer-reviewed international journals, books, and indexed publications focusing on forensic accounting, cybersecurity, internal control systems, and digital financial transformation. The data were analyzed using qualitative content analysis with a thematic synthesis approach. Key themes were identified, categorized, and synthesized to develop an integrated conceptual understanding of cyber forensic accounting and internal control systems in fraud prevention. The findings indicate that cyber forensic accounting significantly enhances fraud prevention through the use of big data analytics, artificial intelligence, continuous auditing, and blockchain technology. These tools enable real-time detection of anomalies and improve the accuracy of fraud identification. Furthermore, the integration of cyber forensic accounting with internal control systems strengthens organizational governance by improving risk monitoring, automating control processes, enhancing audit trails, and increasing transparency. However, the effectiveness of these systems depends on technological readiness, human resource competence, and organizational adaptability to digital transformation. The study concludes that cyber forensic accounting, when integrated with internal control systems, provides a comprehensive and proactive framework for fraud prevention in digital financial environments. This integration shifts fraud management from a reactive to a preventive approach, thereby strengthening organizational resilience against increasingly sophisticated cyber fraud threats.
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Aini, N. A., Fitriana, N., Yuliani, R. R., & Rahayu, H. A. (2025). The use of digital forensic accounting techniques in occupational fraud detection and prevention: A literature review. Jurnal Ilmu Ekonomi Manajemen dan Akuntansi (ILEKA), 6(2), 145–158. https://doi.org/10.37012/ileka.v6i2.3062
Albrecht, W. S., Albrecht, C. O., Albrecht, C. C., & Zimbelman, M. F. (2019). Fraud examination (6th ed.). Cengage Learning.
Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). Big data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1–27. https://doi.org/10.2308/ajpt-51684
Appelbaum, D., Kogan, A., & Vasarhelyi, M. A. (2017). Big data and analytics in the modern audit engagement: Research needs. Auditing: A Journal of Practice & Theory, 36(4), 1–27. https://doi.org/10.2308/ajpt-51684
Boell, S. K., & Cecez-Kecmanovic, D. (2015). What is an information system? Journal of the Association for Information Science and Technology, 66(6), 1337–1356. https://doi.org/10.1002/asi.23221
Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative Research Journal, 9(2), 27–40. https://doi.org/10.3316/QRJ0902027
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Cressey, D. R. (1953). Other people’s money: A study in the social psychology of embezzlement. Free Press.
Dai, J., & Vasarhelyi, M. A. (2017). Toward blockchain-based accounting and assurance. Journal of Information Systems, 31(3), 5–21. https://doi.org/10.2308/isys-51804
Daud, M., & Patandean, E. H. B. (2025). Accounting transformation to determine fraud: The role of digital accounting and forensic accounting with internal control. Jurnal Ilmiah Akuntansi Kesatuan, 13(4), 865–878. https://doi.org/10.37641/jiakes.v13i4.3778
Kranacher, M. J., Riley, R. A., & Wells, J. T. (2011). Forensic accounting and fraud examination. Wiley.
Prihanto, S., Muzaky, A. H., & Yuliantoro, B. W. (2024). The role of forensic accounting in combating financial fraud in the digital age. Harmoni Economics: International Journal of Economics and Accounting, 1(2), 55–66. https://doi.org/10.70062/harmonieconomics.v1i2.29
Rezaee, Z., & Wang, J. (2019). Relevance of big data to forensic accounting practice and education. Managerial Auditing Journal, 34(3), 268–288. https://doi.org/10.1108/MAJ-08-2017-1633
Singleton, T. W., & Singleton, A. J. (2010). Fraud auditing and forensic accounting (4th ed.). Wiley.
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
Uyun, L. (2025). Forensic accounting as a tool for fraud prevention: A literature review in the Indonesian context. COUNT: Journal of Accounting, Business and Management, 2(3), 132–142. https://doi.org/10.61677/count.v2i3.564
Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big data in accounting: An overview. Accounting Horizons, 29(2), 381–396. https://doi.org/10.2308/acch-51071
Wolfe, D. T., & Hermanson, D. R. (2004). The fraud diamond: Considering the four elements of fraud. The CPA Journal, 74(12), 38–42.
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