DESIGN AND EFFECTIVENESS OF SEQUENTIAL NUMBERING SYSTEMS IN THE REVENUE CYCLE: THEIR IMPACT ON AUDIT TRAIL, FRAUD DETECTION, AND MATERIAL MISSTATEMENT RISK

Authors

  • Tulus Pujo Nugroho Gunadarma University

DOI:

https://doi.org/10.56127/ijme.v4i3.2427

Keywords:

sequential numbering, audit trail, fraud detection, material misstatement, internal control, revenue cycle

Abstract

This study investigates the effectiveness of implementing a sequential numbering system within the revenue cycle and its impact on audit trail quality, fraud detection, and material misstatement risk in small and medium-sized enterprises (SMEs) in Indonesia. The research applies a quantitative explanatory approach using a survey of 120 respondents, supported by document verification on a subsample of 30 firms. Four main constructs were analyzed: Discipline of Sequential Numbering (DSN), Audit Trail Strength (ATS), Fraud Detection Capability (FDC), and Material Misstatement Risk Proxy (MMRP). The results of the Partial Least Squares–Structural Equation Modeling (PLS-SEM) show that DSN has a significant positive effect on ATS (β = 0.41; p < 0.01) and FDC (β = 0.36; p < 0.05), and a significant negative effect on MMRP (β = −0.28; p < 0.05). These findings indicate that disciplined sequential numbering strengthens the reliability and traceability of accounting records, enhances the ability to identify anomalies, and reduces the likelihood of material misstatement in financial statements. The study provides practical implications for internal control improvement, especially for SMEs adopting digital or semi-digital documentation systems. It also proposes a Sequential Numbering Discipline Index (SNDI) that can be adopted as a simple, low-cost metric to enhance internal control over financial reporting (ICFR).

References

[1] Alali, F. A., & Romero, S. (2013). Benford’s law: Analyzing a decade of results. Journal of Emerging Technologies in Accounting, 10(1), 1–39. https://doi.org/10.2308/jeta-50749

[2] Bolton, B., Lian, Q., Rupley, K. H., & Zhao, J. (2016). Industry contagion effects of internal control material weakness disclosures. Advances in Accounting, 34, 27–40. https://doi.org/10.1016/j.adiac.2016.07.004

[3] Chiu, T., & Jans, M. (2019). Process mining of event logs in internal auditing: A case study of internal control effectiveness. Accounting Horizons, 33(3), 15–35. https://doi.org/10.2308/acch-52458

[4] Dang, L., & Dang, M. (2022). Is integrated auditing superior to separate auditing? Accounting Research Journal, 35(3), 367–392. https://doi.org/10.1080/21697213.2022.2105679

[5] 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. https://doi.org/10.2308/ajpt-51608

[6] Doyle, J. T., Ge, W., & McVay, S. (2007). Accruals quality and internal control over financial reporting. The Accounting Review, 82(5), 1141–1170. https://doi.org/10.2308/accr.2007.82.5.1141

[7] Fitria, N. A., & Rakhmawati, R. (2024). Internal control and accounting information system: Evidence from culinary sector MSMEs in Indonesia. SHS Web of Conferences, 201, 01013. https://doi.org/10.1051/shsconf/202420101013

[8] Gramling, A. A., O’Donnell, E. F., & Vandervelde, S. D. (2013). Factors influencing auditors’ evaluations of internal control deficiencies. Accounting Horizons, 27(2), 249–269. https://doi.org/10.2308/acch-50410

[9] Lennox, C. S., Wu, X., & Zhang, T. (2022). Mandatory internal control audits, audit adjustments, and financial reporting quality: Evidence from China. The Accounting Review, 97(1), 341–374. https://doi.org/10.2308/TAR-2020-0152

[10] Nigrini, M. J. (2017). Audit sampling using Benford’s law: A review of the literature with applications for auditors. Journal of Emerging Technologies in Accounting, 14(2), 29–55. https://doi.org/10.2308/jeta-51783

[11] Nitzl, C. (2016). The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development. Journal of Accounting Literature, 37, 19–35. https://doi.org/10.1016/j.acclit.2016.09.003

[12] Richter, N. F., Hauff, S., Klarmann, M., & Mohr, A. (2022). The use of partial least squares structural equation modeling (PLS-SEM) and complementary methods in international management research. Journal of International Management, 28(3), 100876. https://doi.org/10.1007/s11575-022-00475-0

[13] Salehi, M., Safari Gerayli, M., & Bayazidi, A. (2022). The relationship between audit adjustments and audit quality in Iraq. Journal of Risk and Financial Management, 15(8), 330. https://doi.org/10.3390/jrfm15080330

[14] Vitali, A. (2024). Emerging digital technologies and auditing firms: Opportunities and challenges. International Journal of Accounting Information Systems, 65, 100676. https://doi.org/10.1016/j.accinf.2024.100676

Published

2025-09-30

How to Cite

Nugroho, T. P. (2025). DESIGN AND EFFECTIVENESS OF SEQUENTIAL NUMBERING SYSTEMS IN THE REVENUE CYCLE: THEIR IMPACT ON AUDIT TRAIL, FRAUD DETECTION, AND MATERIAL MISSTATEMENT RISK. International Journal Management and Economic, 4(3), 66–73. https://doi.org/10.56127/ijme.v4i3.2427

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.