The Role of Accounting Technology in Preventing Cyberfraud: A Systematic Literature Review

Authors

  • Indah Dwi Novianti Universitas Diponegoro
  • Totok Dewayanto

DOI:

https://doi.org/10.21532/apfjournal.v10i2.383

Keywords:

Accounting, Accounting Technology, Prevention, Cyberfraud, Fraud

Abstract

In a state-of-the-art virtual generation, the fast improvement of statistical technology has significantly impacted many industries. This consists of the global economy, but this virtual revolution has additionally delivered another main trouble: the spread of online fraud. Internet fraud is more than just a hazard. This research explores the role of accounting technology in preventing cyber fraud. Based on the theories of the Technology Acceptance Model (TAM) and the Fraud Triangle, this research investigates the accounting technology used to avoid cyber fraud and the effectiveness of the technology in detecting and reducing cyber fraud. Method: A literature review using the PICO approach was used to define the research questions and collect relevant data. The analysis reveals trends in document production, Authors’ contributions, and keywords related to accounting technology. In conclusion, this study provides information for future research to conduct longitudinal studies to assess accounting technology’s effectiveness and long-term challenges.

References

Abubakar, N. S. J., Paradji, N. U., Saggap, S., Anding, N. S., Tano, R. M., Arasani, A. H., Ahadain, D. R., Banda, B., Jayari, R., Alamhalil, A., Alih, S. H., & Tahil, P. S. K. (2024). Hacking Incidents and Their Long-Term Implications for User Privacy and Trust. Cognizance Journal of Multidisciplinary Studies, 4(12), 443–454. https://doi.org/10.47760/cognizance.2024.v04i12.041.

ACFE. (2024). Association of Certified Fraud Examiners. The Nation’s Occupational Fraud 2024?:A Report To The Nations. Association of Certified Fraud Examiners.

Adeboye, E. O. (2024). Strengthening Fraud Prevention in Small Businesses?: An Analysis of Practical Accounting and Auditing Practices. International Journal of Science and Research Archive, 13(2), 590–595.

Adelakun, B. O., Antwi, B. O., Fatogun, D. T., & Olaiya, O. P. (2024). Enhancing Audit Accuracy: The Role of AI in Detecting Financial Anomalies and Fraud. Finance & Accounting Research Journal, 6(6), 1049–1068. https://doi.org/10.51594/farj.v6i6.1235.

Adelakun, B. O., Onwubuariri, E. R., Adeniran, G. A., & Ntiakoh, A. (2024). Enhancing Fraud Detection in Accounting Through AI: Techniques and Case Studies. Finance & Accounting Research Journal, 6(6), 978–999. https://doi.org/10.51594/farj.v6i6.1232.

Ahmad, A. Y. A. B., Abusaimeh, H., Rababah, A., Alqsass, M., Al-Olima, N. H., & Hamdan, M. N. (2024). Assessment of the Effects of Advances in Accounting Technologies on the Quality of Financial Reports in the Jordanian Public Sector. Uncertain Supply Chain Management, 12(1), 133–142. https://doi.org/10.5267/j.uscm.2023.10.011.

Akinbowale, O. E., Mashigo, P., & Zerihun, M. F. (2023). Integrating Forensic Accounting and Big Data Technology Frameworks for Internal Fraud Mitigation in the Banking Industry. Cogent Business and Management, 10(1), 1-22. https://doi.org/10.1080/23311975.2022.2163560.

Alhadi, A., Tom, B., & Yacine, R. (2025). Enhancing asset Management: Inte-grating Digital Twins for Continuous Permitting And Compliance-A Systematic Literature Review. Journal of Building Engineering, 99, 111515. https://doi.org/10.1016/j.jobe.2024.111515.

Alhumoudi, H., & Johri, A. (2024). Examining the role of Accounting Information Systems on a Firm’s Performance: A Technology Accep-tance Model Approach. Edelweiss Applied Science and Technology, 8(5), 1831–1842. https://doi.org/10.55214/25768484.v8i5.1917.

Alrawashdeh, B., & Ghazalat, A. (2022). A Review on the Challenges and Connections between Cybersecurity and Accounting in Saudi Arabia. Journal of System and Management Sciences, 12(5), 282–296. https://doi.org/10.33168/JSMS.2022.0517.

Ardila, I., Sembiring, M., & Astuti, R. (2025). The Role of Security Perception and Usage Impact of Mobile Accounting Applications. Jurnal Akuntansi E-JA, 29(1), 186–205.

Arel, B., Tomas, M. J., & Stark, L. (2023). The Effect of Fraud Diamond Capability Measures on Fraud Occurrence. Journal of Forensic Accounting Research, 8, 141–159. https://doi.org/10.2308/JFAR-2021-024.

BSSN. (2022). BSSN: Industri Keuangan Rawan Serangan Siber, Lakukan Update Aplikasi Digital Secara Berkala. Badan Siber dan Sandi Negara. https://www.bssn.go.id/bssn-industri-keuangan-rawan-serangan-siber-lakukan-update-aplikasi-digital-secara-berkala/.

Chatterjee, P., Das, D., & Rawat, D. B. (2023). Next Generation Financial Services: Role of Blockchain-enabled Federated Learning and Metaverse. 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW). https://doi.org/10.1109/CCGridW59191.2023.00025.

Chavali, K., Kumar, A. V. V, Mavuri, S., Tiwari, C. K., & Pal, A. (2024). Investigation and Modelling of Barriers in Adopting Blockchain Technology for Accounting and Finance: An ISM Approach. Journal of Global Information Management, 32(1), 1-23. https://doi.org/10.4018/JGIM.353960.

Chen, T. (2022). Blockchain and Accounting Fraud Prevention: A Case Study on Luckin Coffee. Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022), 652(ICSSED), 44–49. https://doi.org/10.2991/aebmr.k.220405.009.

Daswani, N., & Elbayadi, M. (2021). The Equifax Breach. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6655-7_4.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Tech-nology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008.

Dowuna, G. (2024). Fraud Risk Mana-gement Using AI. I Texhika Hayka, 10(38), 28–38.

Gabriela, M. B. (2023). Influence of Fraud Triangle Framework on the Fraud Prevention and Detection Programs in PT. XX. Journal Integration of Social Studies and Business Development, 1(2), 46–60. https://doi.org/10.58229/jissbd.v1i2.83.

Ghann, P., Owiredu, J., & Afotey, S. (2022). The effect of Cybercrime on Financial Institutions: A case study of Mumuadu Rural Bank, Osino in the Fanteakwa District, Eastern Region, Ghana. Research Square, 1(12), 78–90. https://doi.org/10.21203/rs.3.rs-2209860/v1.

Granato, A., & Polacek, A. (2019). The growth and challenges of cyber insurance. Chicago Fed Letter, 426. https://doi.org/10.21033/cfl-2019-426.

Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and Auditing with Blockchain Technology and Artificial Intelligence: A Literature Review. International Journal of Accounting Information Systems, 48, 1-16. https://doi.org/10.1016/j.accinf.2022.100598.

Hasibuan, M. R. R., Siregar, S., & Harahap, M. I. (2023). The Effect of Internal Audit and External Audit on Accounting Fraud in View from The Fraud Triangle Theory (Study of Soe Companies in Medan City). Journal of Management, Economic, and Accounting, 2(2), 275–286. https://doi.org/10.37676/jmea.v2i2.178.

Ilona, D., & Zaitul. (2021). Behavioural Intention to Use Accounting Application: Perceived Ease of Use as Mediating Variable. Urban growth and access to opportunities: A challenge for Latin America. CAF | Development Bank of Latin America and the Caribbean.

Kangkpang, A. K., & Ogar-Abang, J. O. (2024). Aksu Journal of Management Sciences (Aksujomas) vol 9 No. 1, June 2024. Aksu Journal Of Management Sciences (Aksujomas), 9(1), 106–128.

Kao, J.-H., & Tsay, R.-S. (2023). Preventing Financial Statement Fraud with Blockchain-based Verifiable Accoun-ting System. 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).

Kusumathias, I. P., Rahayu, S., & Wiralestari, W. (2023). the Influence of Accounting Information System Implementation on Performance with Technology Acceptance Model (TAM) Approach in Jambi Province Public Service Agencies. Marginal Journal of Management Accounting General Finance and International Economic Issues, 3(1), 211–230. https://doi.org/10.55047/marginal.v3i1.949.

Lentner, C., Vasa, L., Kolozsi, P. P., & Zéman, Z. (2019). New dimensions of internal controls in banking after the GFC. Economic Annals-XXI, 176(3–4), 38–48. https://doi.org/10.21003/ea.V176-04.

Li, W., Liu, X., & Zhou, S. (2024). Deep learning model-based research on anomaly detection and financial fraud identification in corporate financial reporting statements. Journal of Combinatorial Mathematics and Combinatorial Computing, 123, 343–355. https://doi.org/10.61091/jcmcc123-24.

Mahtani, U. S. (2022). Fraudulent Practices and Blockchain Accounting Systems. Journal of Accounting, Ethics and Public Policy, 23(1), 97–148.

Marikyan, D., & Papagiannidis, S. (2006). Technology Acceptance Model. Handbook of Research on Electronic Surveys and Measurements. IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-59140-792-8.ch038.

Meiryani, Chang, A., Lorenzo, B. A., & Daud, Z. M. (2021). Analysis of Technology Acceptance Model (TAM) Approach to the Quality of Accounting Information Systems. ICCCM’21: Proceedings of the 9th International Conference on Computer and Communications Management, 37–45. https://doi.org/https://doi.org/10.1145/3479162.3479168.

Meiryani, Patricia, S., & Presillia, S. (2023). The Effect of Computerized Accounting Information Systems, Big Data Analysis, and Internal Audit in Accounting Fraud Detection. ICBDC ’23: Proceedings of the 2023 8th International Conference on Big Data and Computing. https://doi.org/10.1145/3624288.3624290.

Mishra, S. (2023). Exploring the Impact of AI-Based Cybersecurity Financial Sector Management. Applied Sciences (Switzerland), 13(10), 5875. https://doi.org/10.3390/app13105875.

Mustafa, M. A. (2024). Role System Control Internal In Accounting Fraud Prevention 1,2,3). 3(1), 242–248.

Musyoki, K. M. (2023). Internal Control Systems and Their Role in Financial Fraud Prevention in Kenya. African Journal of Commercial Studies, 3(3), 173–180. https://doi.org/10.59413/ajocs/v3.i3.4.

Ndubuisi, A. F. (2024). International Journal of Research Publication and Reviews: The Intersection of False Projections, Identity Manipulation, and Emerging Financial Cybercrime Threats. 5(12), 5529–5546.

Nishikawa-Pacher, A. (2022). Research Questions with PICO: A Universal Mnemonic. Publications, 10(3), 1–21 https://doi.org/10.3390/publications10030021.

Odeyemi, O., Okoye, C. C., Ofodile, O. C., Adeoye, O. B., Addy, W. A., & Ajayi-Nifise, A. O. (2024). Integrating AI with Blockchain for Enhanced Financial Services Security. Finance & Accounting Research Journal, 6(3), 271–287. https://doi.org/10.51594/farj.v6i3.855.

Paul, E. O., Callistus, O., Somtobe, O., Esther, T., Somto, K.-A., Clement, O., & Ejimofor, I. (2023). Cybersecurity Strategies for Safeguarding Customers’ Data and Preventing Financial Fraud in the United States Financial Sectors. International Journal on Soft Computing, 14(3), 1–16. https://doi.org/10.5121/ijsc.2023.14301.

Pillay, P., Ntuli, P. N., & Ehiane, S. O. (2023). Exploring the Prevalence of Cybercrime in the Banking Industry in KwaZulu-Natal, South Africa. International Journal of Membrane Science and Technology, 10(1), 1763–1775. https://doi.org/10.15379/ijmst.v10i1.3283.

Remeikien?, R., Trajanauskas, A., & Gaspar?nien?, L. (2024). The development of e-crimes in the digital economy: Causes and consequences. International May Conference on Strategic Management, XX(1), 318–326. https://doi.org/10.5937/imcsm24032r.

Rufus, O. S., & Isaac, O. O. (2024). Forensic Accounting and Cybercrime Preven-tion in Listed Deposit Money Banks in Nigeria. The Akungba Administrators and Management Scientists (TAAMS), 1, 15-26.

Schweitzer, B. (2024). Artificial Intelligence (AI) Ethics in Accounting. Artificial Intelligence (AI) Ethics in Accounting Journal of Accounting, 25(1), 67-103. https://doi.org/10.60154/jaepp.2024.v25n1p67.

Shaheen, N., Shaheen, A., Ramadan, A., Hefnawy, M. T., Ramadan, A., Ibrahim, I. A., Hassanein, M. E., Ashour, M. E., & Flouty, O. (2023). Appraising Systematic Reviews: A Comprehensive Guide to Ensuring Validity and Reliability. Frontiers in Research Metrics and Analytics, 8, 1-9 https://doi.org/10.3389/frma.2023.1268045.

Shandu, N., & Saluja, S. (2023). Fraud Triangle as an Audit Tool. Management and Labour Studies, 48(3), 418-443.

Sharoni, L.-O., Sacks, R., Yeung, T., Alhava, O., Laine, E., & Ribon, J. M. (2023). The PICO Framework for Analysis and Design of Production Systems for Construction. Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31), 1522–1533.

Sonkar, N., Verma, N., Kumar, A., Naqvi, D., & Nisa, Z. (2024). An Empirical Study on the Economic Impact of Cybersecurity Breaches and Computer Fraud on SMEs. Journal of Information Systems Engineering and Management, 10, 730–735. https://doi.org/10.52783/jisem.v10i7s.986.

Supriadi, I. (2024). The Audit Revolution: Integrating Artificial Intelligence in Detecting Accounting Fraud. Akuntansi dan Teknologi Informasi, 17(1), 48–61. https://doi.org/10.24123/jati.v17i1.6279.

Tetteh, G. K., & Otioma, C. (2024). Cyberattack, cyber risk mitigation capabilities, and firm productivity in Kenya. Small Business Economics, 64, 1493–1514. https://doi.org/10.1007/s11187-024-00946-8

Thakkar, H., Fanuel, G. C., Datta, S., Bhadra, P., & Dabhade, S. B. (2025). Optimizing Internal Audit Practices for Combatting Occupational Fraud: A Study of Data Analytic Tool Integration in Zimbabwean Listed Companies. International Research Journal of Multidisciplinary Scope, 6(1), 22–36. https://doi.org/10.47857/irjms.2025.v06i01.02164.

Travis Satnarine. (2023). Systematic Review Methodology: Conducting High-Quality Reviews and Understanding Their Significance in Evidence-Based Practice. Journal For International Medical Graduates, 2(1). https://doi.org/10.56570/jimgs.v2i1.76.

Ummah, R. S., & Sofyani, H. (2024). Testing the Intention of Employees in Local Government to Adopt Blockchain Technology in Accounting Information Systems (AIS). Public Accounting and Sustainability, 1(1), 1–18. https://doi.org/10.18196/pas.v1i1.3.

Wiryanti, K., &. F. (2020). The Effect of Perceived Ease of Use on the Quality of Accounting Information Systems and Its Impact on the Quality of Accounting Information. Saudi Journal of Business and Management Studies, 5(12), 571–577. https://doi.org/10.36348/sjbms.2020.v05i12.004.

Zadorozhnyi, Z.-M., Muravskyi, V., Pochynok, N., & Ivasechko, U. (2023). Application of The Internet of Things and 6G Cellular Communication to Optimize Accounting and International Marketing. Virtual Economics, 6(1), 38–56. https://doi.org/10.34021/VE.2023.06.01(3).

Downloads

Published

2025-12-11

How to Cite

Indah, I. D. N., & Totok Dewayanto. (2025). The Role of Accounting Technology in Preventing Cyberfraud: A Systematic Literature Review. Asia Pacific Fraud Journal, 10(2), 209–226. https://doi.org/10.21532/apfjournal.v10i2.383