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1714217 Vol 9 · Issue 8 Download Paper

Combating Public Sector Fraud Through Technology-Driven Compliance Systems

Osuntoyinbo Tolulope Margaret

Subject area: Arts, Social Sciences and Humanities  ·  Area of research: Public Sector

DOI: https://doi.org/10.64388/IREV9I8-1714217

Abstract

This study provides a rigorous, multidimensional examination of technology-enabled compliance systems and their transformative impact on fraud prevention and financial integrity within public governance. Drawing on empirical evidence from integrated financial management systems, predictive and rule-based analytics, continuous auditing frameworks, and automated control architectures, the paper demonstrates how digital infrastructures are reshaping oversight in government finance. Technology enables a decisive shift from fragmented, retrospective auditing to real-time, data-driven assurance, supported by full-population testing, anomaly detection, automated exception reporting, and intelligent risk-scoring models. These advancements strengthen transparency, reduce fiscal leakages, and enhance accountability across ministries and agencies. Yet, the analysis also reveals systemic constraints that complicate digital adoption, including cybersecurity vulnerabilities inherent in expanding government data ecosystems, high modernization costs, institutional resistance, and the growing ethical complexity of algorithmic governance. Skills gaps among compliance professionals further limit the effective use of advanced analytics and AI-assisted monitoring tools. In response, the study argues for a strong policy and institutional agenda, anchored in strengthened legal frameworks, improved data governance, protected whistleblowing channels, and deep cross-sector collaboration to ensure responsible, equitable, and sustainable deployment of these technologies. In all, the paper concludes that technology is an operational enhancement and a strategic deterrent to fraud, offering a structural pathway toward resilient, transparent, and trustworthy public financial management systems.

Keywords

Digital Compliance, Public Financial Management, Continuous Auditing, Predictive Analytics, Algorithmic Governance, Fraud Prevention, Fiscal Transparency, Ai-Enabled Oversight, E-Governance Systems

References

[1] Abi, Roland. (2025). AI-Driven Fraud Detection Systems in Fintech Using Hybrid Supervised and Unsupervised Learning Architectures. International Journal of Research Publication and Reviews. 6. 4375-4394. 10.55248/gengpi.6.0625.2161.

[2] Adam, I.; Fazekas, M. (2023). Overview of corruption and anti-corruption in infrastructure development . Bergen: U4 Anti-Corruption Resource Centre, Chr. Michelsen Institute. https://www.u4.no/publications/overview-of-corruption-and-anti-corruption-in-infrastructure-development

[3] Africa Check. (2025). A quick guide to commissions of inquiry in South Africa. Africa Check. https://africacheck.org/fact-checks/blog/quick-guide-commissions-inquiry-south-africa

[4] African Development Bank. (2023). Country diagnostic note: Malawi. African Development Bank. https://www.afdb.org/sites/default/files/documents/projects-and-operations/malawi_cdn_2023.pdf

[5] African Development Bank. (2025). Eradicate corruption to make the most of Africa's capital. African Development Bank Annual Meetings. https://am.afdb.org/en/news/2025-annual-meetings-eradicate-corruption-make-most-africas-capital

[6] Akuthota, Arun. (2025). Role-Based Access Control (RBAC) in Modern Cloud Security Governance: An In-depth Analysis. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 11. 3297-3311. 10.32628/CSEIT25112793.

[7] Antwi, Bernard & Adelakun, Beatrice & Fatogun, Damilola & Olaiya, Omolara. (2024). Enhancing audit accuracy: The role of AI in detecting financial anomalies and fraud. Finance & Accounting Research Journal. 6. 1049-1068. 10.51594/farj.v6i6.1235.

[8] Apio Scovia, Asiimwe Jonath (2024). The Electronic Government Procurement System in Uganda; Challenges and Benefits. International Journal of Research and Innovation in Social Science (IJRISS), 8(06), 2598-2606. https://doi.org/https://dx.doi.org/10.47772/IJRISS.2024.806199

[9] Ariyo-Edu, A.A & Woli-Jimoh, I A (2024) Forensic accounting and public sector fraud in Kwara State in Nigeria , Fuoye Journal of Accounting and Management; Volume 7, Number 1;2024 ISSN 28053672(Print),2814-1717 (Online)251-272

[10] Association of Certified Fraud Examiners. (2024). ACFE releases 2024 Report to the Nations on occupational fraud. https://www.acfe.com/about-the-acfe/newsroom-for-media/press-releases/press-release-detail?s=2024-Report-to-the-Nations

[11] Ayobami, Amusa & Mike-Olisa, Uchenna & Ogeawuchi, Jeffrey & Abayomi, Abraham & Agboola, Oluwademilade. (2023). Algorithmic Integrity: A Predictive Framework for Combating Corruption in Public Procurement through AI and Data Analytics. Journal of Frontiers in Multidisciplinary Research. 4. 130-141. 10.54660/.JFMR.2023.4.2.130-141.

[12] Azeez Odetunde, Bolaji Iyanu Adekunle, Jeffrey Chidera Ogeawuchi. (2022). Using Predictive Analytics and Automation Tools for Real-Time Regulatory Reporting and Compliance Monitoring. International Journal of Multidisciplinary Research and Growth Evaluation. ISSN (online): 2582-7138 Volume: 03. DOI: https://doi.org/10.54660/.IJMRGE.2022.3.2.650-661

[13] Balamurugan, A & Vamsi, M & Bhattacharya, Rajib & Mohammed, Shariq & Kaushik, Priyanka & Haralayya, Dr. (2023). ROBOTIC PROCESS AUTOMATION (RPA) IN ACCOUNTING AND AUDITING OF BUSINESS AND FINANCIAL INFORMATION. Manager. 58. 127-142

[14] Basel Institute on Governance. (n.d.). What is corruption? Basel Institute on Governance. Retrieved November 16, 2025, from https://baselgovernance.org/what-is-corruption

[15] BBC News. (2022). Malawi’s anti-corruption chief arrested. BBC News. https://www.bbc.com/news/world-africa-61912737

[16] Catherine, Tumuramye & Nancy, Musiimenta & Audrey, Ahumuza. (2025). Integrated Financial Management System (IFMS) And Financial Reporting In Local Governments In Uganda: A Case Of Kanungu District Local Government. 4. 307-322.

[17] Dawkins Brown. (2025). The Evolution of Auditing in the Digital Age. https://www.dawgen.global/the-evolution-of-auditing-in-the-digital-age/

[18] Dubravka Cecez-Kecmanovic. (2025). Ethics in the world of automated algorithmic decision-making – A Posthumanist perspective. Information and Organization. Volume 35, Issue 3, 100587, ISSN 1471-7727. https://doi.org/10.1016/j.infoandorg.2025.100587.

[19] Eastern New Mexico University. (2025). Government data and statistics. ENMU LibGuides. https://enmu.libguides.com/govdata

[20] Edori D. S. and Iwene, Samuel Ojo. (2025). Fraud Control Measures And Prevention Of Payroll Fraud In Public Sector Parastatals In Nigeria. International Research Journal of Accounting, Finance and Banking Volume. 16, Number 3; ISSN: 2836-7944. Doi: 10.5281/zenodo.15044340

[21] Eniolape, Wasiu & Pageg, Funmilola & Oladele, Sunday & Rossbet, Best. (2025). Identifying Patterns in Financial Transactions to Combat Fraud in Real Time.

[22] ESPN News Services. (2023). Brett Favre and the Mississippi welfare case: Where the line is explained.ESPN. https://www.espn.com/nfl/story/_/id/37565299/brett-favre-mississippi-welfare-case-line-explained

[23] Factual America. (2025). LA Times investigation uncovers massive Bell City Hall corruption scandal. Factual America. https://www.factualamerica.com/journalistic-landmarks/la-times-investigation-uncovers-massive-bell-city-hall-corruption-scandal

[24] Fillip Molodtsov, Anastasija Nikiforova. (2024). An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries. https://arxiv.org/abs/2403.08451

[25] Friday, Solomon & Ameyaw, Maxwell & Jejeniwa, Temitayo & Pub, Anfo. (2023). Developing a Predictive Model for Financial Fraud Detection Using Data Analytics in Financial Institutions. International Journal of Management and Organizational Research. 02. 308-319. 10.54660/IJMOR.2023.2.1.308-319.

[26] Fugletveit, R., & Sørhaug, C. (2023). Lost in Digital Translations: Studies of Digital Resistance and Accommodation to the Welfare State in Practice. In R. Fugletveit & C. Sørhaug (Eds.), Lost in Digital Translations: Studies of Digital Resistance and Accommodation to the Welfare State in Practice (pp. 7-9). Cappelen Damm Akademisk. https:// doi.org/https://doi.org/10.23865/noasp.196.ch0

[27] Gara, Mario & Iezzi, Stefano & Siino, Marianna. (2024). Corruption risk indicators in public procurement: A proposal using Italian open data. 23.

[28] Gichuhi, M. N., & Muna, W. (2024). Integrated financial management information system and performance of government ministries in Kenya. Reviewed Journal of Social Science & Humanities, 5 (1), 201 – 222

[29] Global Investigations Review. (2022). Fines, disgorgement, injunctions, debarment: The US perspective. Global Investigations Review. https://globalinvestigationsreview.com/guide/the-practitioners-guide-global-investigations-archived/2022/article/fines-disgorgement-injunctions-debarment-the-us-perspective

[30] Gouvêa Maciel, G., & Santos, I. (2024). Citizens’ and Politicians’ Definitions of Corruption, Corruption Survey Quality, and Political Will for Anti-Corruption Reform: The Portuguese Case Put to the Test. Public Integrity, 27(4), 388–401. https://doi.org/10.1080/10999922.2024.2322317

[31] Gu, Hanchi and Schreyer, Marco and Moffitt, Kevin and Vasarhelyi, Miklos A., (2024). Collaborative AI-Based Multimodal Auditing: Integrating Foundation Models into Robotic Process Automation. Available at SSRN: https://ssrn.com/abstract=4881256 or http://dx.doi.org/10.2139/ssrn.4881256

[32] Ilori, Oluwatosin. (2023). AI-Driven Audit Analytics: A Conceptual Model for Real-Time Risk Detection and Compliance Monitoring. Finance & Accounting Research Journal. 5. 502-527. 10.51594/farj.v5i12.1900.

[33] International Institute for Counter-Fraud and Integrity Protection (IICFIP). (2025). Global financial crimes impact report 2025. https://iicfip.org/wp-content/uploads/IICFIP-Global-Financial-Crimes-Impact-Report-2025-Published.pdf

[34] International Monetary Fund. (2023). Costing corruption and efficiency losses from weak PFM systems. PFM Blog. https://blog-pfm.imf.org/en/pfmblog/2023/04/costing-corruption-and-efficiency-losses-from-weak-pfm-systems

[35] Islam, Saiful & Haque, Md & Naser, Abu & Rezaul Karim, A.N.M.. (2024). A rule-based machine learning model for financial fraud detection. International Journal of Electrical and Computer Engineering (IJECE). Vol. 14. 759-771. 10.11591/ijece.v14i1.pp759-771.

[36] Izunna Ogudu Chukwu, Edem Edemekong Edemidiong. (2025). The Effect of Mismanagement and Embezzlement of Funds in the Public Sector. International Journal of Social Sciences and Management Research E-ISSN 2545-5303 P-ISSN 2695-2203 Vol 11. No. 6. DOI: 10.56201/ijssmr.vol.11no6.2025.pg269.273

[37] Joanna Nyaposowo Ayibam (2024). Artificial Intelligence in Public Procurement: Legal Frameworks, Ethical Challenges, and Policy Solutions for Transparent and Efficient Governance. A Journal of West and East African Studies http://gnosipublishers.com.ng/index.php/alkebulan

[38] John H. Lawrence, G. Norman Acker III, Nora E. Becerra, Michael H. Phillips, and Natalia A. Nino. (2024). The False Claims Act and Health Care: 2023 Recoveries and 2024 Outlook. https://marketingstorageragrs.blob.core.windows.net/webfiles/FCA%202023%20Year-in-Review%20and%202024%20Outlook.pdf

[39] Jonathan Kwaku Afriyie, Kassim Tawiah, Wilhemina Adoma Pels, Sandra Addai-Henne, Harriet Achiaa Dwamena, Emmanuel Odame Owiredu, Samuel Amening Ayeh, John Eshun. (2023). A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions. Decision Analytics Journal, Volume 6, 100163, ISSN 2772-6622. https://doi.org/10.1016/j.dajour.2023.100163.

[40] José Cascais Brás, Ruben Filipe Pereira, Micaela Fonseca, Rui Ribeiro, Isaias Scalabrin Bianchi. (2024). Advances in auditing and business continuity: A study in financial companies. Journal of Open Innovation: Technology, Market, and Complexity, Volume 10, Issue 2, 100304, ISSN 2199-8531. https://doi.org/10.1016/j.joitmc.2024.100304.

[41] Jurek, Ł. (2024). The Use of Digital Technology in the Fight Against Welfare Fraud: Comparative Analysis of Selected National Experiences. In P. Luty, N. Versal, & P. Semerád (Eds.), Knowledge and Digitalisation Against Corruption and Fraud (pp. 23-35). Publishing House of Wroclaw University of Economics and Business. DOI: 10.15611/2024.96.3.02

[42] Kinyua Jacob Mugendi, Agnes Mutiso, Robert Gitau. (2023). Factors as Determinants of Effectiveness of Ifmis in the County Governments In Kenya. IOSR Journal of Economics and Finance (IOSR-JEF) e-ISSN: 2321-5933, p-ISSN: 2321-5925.Volume 14, Issue 1 Ser. IV (Jan. – Feb. 2023), PP 28-36. DOI: 10.9790/5933-1401042836

[43] Kiprop, Cyrus, Loice Koskei, and Josephat Lishenga. (2025). “The Influence of Internal Controls and Governance Processes in Public Sector: A Study of National Treasury in the Northrift, Kenya”. South Asian Journal of Social Studies and Economics 22 (5):138-51. https://doi.org/10.9734/sajsse/2025/v22i51017.

[44] Latupeirissa, J. J. P., Dewi, N. L. Y., Prayana, I. K. R., Srikandi, M. B., Ramadiansyah, S. A., & Pramana, I. B. G. A. Y. (2024). Transforming Public Service Delivery: A Comprehensive Review of Digitization Initiatives. Sustainability, 16(7), 2818. https://doi.org/10.3390/su16072818

[45] Lyra, M.S., Damásio, B., Pinheiro, F.L. et al. (2022). Fraud, corruption, and collusion in public procurement activities, a systematic literature review on data-driven methods. Appl Netw Sci 7, 83 https://doi.org/10.1007/s41109-022-00523-6

[46] Mabel, Serah & Payamta, Payamta & Winarna, Jaka. (2025). The development of fraud prevention policies in the public sector: A bibliometric analysis. Jurnal Akuntansi & Auditing Indonesia. 119-133. 10.20885/jaai.vol29.iss1.art10.

[47] Malala, B., Kashero, S., & Abuga, I. (2023). EFFECTS OF INTEGRATED FINANCIAL MANAGEMENT SYSTEM ON FINANCIAL PERFORMANCE OF COUNTY GOVERNMENTS OF KILIFI. International Journal For Research In Business, Management And Accounting, 9(1), 25–34. https://doi.org/10.53555/bma.v9i1.2272

[48] Mateo, Kanthunkako. (2025). Challenges of Integrated Financial Management Information System (IFMIS) on fiscal management of public funds in ministry departments. i-manager's Journal on Economics & Commerce. 5. 1. 10.26634/jecom.5.1.21261.

[49] Mateusz Brodowicz. (2024). Embezzlement of Public Funds. https://aithor.com/essay-examples/embezzlement-of-public-funds

[50] Md Asad Noor. (2022). Factors Influencing the Implementation of Integrated Financial Management Information Systems: Study Focus on Bangladesh. ISSN: 2582-7065 (Online) SAJSSH, VOL 3, ISSUE 2, PP. 32-55. DOI: 10.48165/sajssh.2022.3202

[51] Md. Harun Ar Rashid. (2024). Integrated financial management system (IFMS).LIMBD. https://limbd.org/integrated-financial-management-system-ifms/

[52] Mengzhen, L., Berezina, E., Mathew Hugues D. Gill, C., & Nor, N. F. M. (2025). What Is Corruption and Bribery? A Social Representations Study From the Views of Young Adults. Sage Open, 15(3). https://doi.org/10.1177/21582440251363749

[53] Michael Njoroge Njogo, Boniface Gitonga Njeru. (2022). Effect of Integrated Financial Management Information System on Public Expenditure Management in Kenya. Vol 12, No 1. https://www.iiste.org/Journals/index.php/IKM/article/view/58001

[54] Michela Gnaldi, Simone Del Sarto. (2023). Validating corruption risk measures: a key step to monitoring SDG progress. https://arxiv.org/abs/2309.01462

[55] Minkkinen, M., Laine, J. & Mäntymäki, M. (2022). Continuous Auditing of Artificial Intelligence: a Conceptualization and Assessment of Tools and Frameworks. DISO 1, 21 (2022). https://doi.org/10.1007/s44206-022-00022-2

[56] Misato Mori. (2025). How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods. https://doi.org/10.31219/osf.io/5yjm4_v1

[57] Moyo, R., Kebaetse, T., & Matlhabaphiri, A. (2025). Procurement fraud research landscape : A bibliometric Analysis. Journal of Law and Corruption Review, 7, e087. https://doi.org/10.37497/CorruptionReview.7.2025.87

[58] Mutangili, S. K. (2025). Digital Transformation of Kenya’s Procurement Systems: Evaluating the Implementation and Effectiveness of the E-Procurement Platform IFMIS. Journal of Procurement & Supply Chain, 9(2), 19–29. https://doi.org/10.53819/81018102t2483

[59] Munteanu, V., Zuca, M.-R., Horaicu, A., Florea, L.-A., Poenaru, C.-E., & Anghel, G. (2024). Auditing the Risk of Financial Fraud Using the Red Flags Technique. Applied Sciences, 14(2), 757. https://doi.org/10.3390/app14020757

[60] Nafuye Ivan. (2024). INTERGRATED FINANCIAL MANAGEMENT INFORMATION SYSTEMS AND FINANCIAL MANAGEMENT IN UGANDA DISTRICT LOCAL GOVERNMENTS. GSJ: Volume 12, Issue 2, ISSN 2320-9186 https://www.globalscientificjournal.com/researchpaper/INTERGRATED_FINANCIAL_MANAGEMENT_INFORMATION_SYSTEMS_AND_FINANCIAL_MANAGEMENT_IN_UGANDA_DISTRICT_LOCAL_GOVERNMENTS.pdf

[61] Nhial, A. M., Shiku, U. O., & Jacqueline Siwale , J. S. (2025). Impact of Integrated Financial Management Information System on Internal Audit Practice. A Case Study of the Ministry of Finance in Juba, South Sudan. International Journal of Finance, 10(3), 11–29. https://doi.org/10.47941/ijf.2601

[62] Nafuye Ivan. (2024). INTERGRATED FINANCIAL MANAGEMENT INFORMATION SYSTEMS AND FINANCIAL MANAGEMENT IN UGANDA DISTRICT LOCAL GOVERNMENTS. GSJ: Volume 12, Issue 2, ISSN 2320-9186. https://www.globalscientificjournal.com/researchpaper/INTERGRATED_FINANCIAL_MANAGEMENT_INFORMATION_SYSTEMS_AND_FINANCIAL_MANAGEMENT_IN_UGANDA_DISTRICT_LOCAL_GOVERNMENTS.pdf

[63] OBIAH, Mmadubuike Emmanuel UKAEGBULE, Ogechi, Peter Ifeanyichukwu ALI, Lynda ADIOHA. (2025). Fraud Detection for Public Sector Management in Africa: A Study of Nigerian Situation. Journal of Business and African Economy E-ISSN 2545-5281 P-ISSN 2695-2238 Vol 11. No. 4. DOI: 10.56201/jbae.vol.11.no4.2025.pg41.55

[64] OGPL. (2022). Open government data. UNDP. https://www.undp.org/sites/g/files/zskgke326/files/2023-03/20230317_Open%20Government%20Data_fin.fin_.pdf.

[65] Okunbor, Oluwatofunmi. (2025). Holistic Integration of Predictive Analytics and Regulatory Compliance to Combat Financial Crimes and Cyber Fraud. International Journal of Computer Applications Technology and Research. 14. 264-279. 10.7753/IJCATR1402.1019.

[66] Olufemi, Bello & Bello, Oluwabusayo & Olufemi, Komolafe & Author, Corresponding. (2024). Artificial intelligence in fraud prevention: Exploring techniques and applications challenges and opportunities. 5. 1505 - 1520. 10.51594/csitrj.v5i6.1252.

[67] Omoseebi, Adetoyese & Ola, Godwin & Tyler, Jackson. (2025). Rule-Based Systems in AML. https://www.researchgate.net/publication/389869404_Rule-Based_Systems_in_AML

[68] Owolabi Sunday Ajao, Odunlade Olajire Aremu, Izang Julia Ufuoma. (2022). Government Integrated Financial Management Information System and Fraud Prevention in Nigeria. Journal of Finance and Accounting, 10(3), 151-159. https://doi.org/10.11648/j.jfa.20221003.11

[69] Pablo Valverde, Jaime Fernandez, Edwin Buenaño, Juan Carlos González-Avella, Mario Cosenza. (2023). Controlling systemic corruption through group size and salary dispersion of public servants. arXiv:2304.02113 https://arxiv.org/abs/2304.02113

[70] Panorama Consulting Group. (2021). CityTime ERP failure. Panorama Consulting. https://www.panorama-consulting.com/citytime-erp-failure/

[71] Peter G. Strasser, (2016). An Anti-Corruption Bureau’s Inexorable Endeavor: A Study of Malawi’s Cashgate Scandal, 73 WASH. & LEE L. REV. ONLINE 303 (2016), https://scholarlycommons.law.wlu.edu/wlulr-online/ vol73/iss1/11

[72] Phillips, Rebecca & David-Barrett, Elizabeth & Barrington, Robert. (2025). Defining Corruption in Context. Perspectives on Politics. 1-15. 10.1017/S153759272400286X.

[73] Pinsent Masons. (2022). Introduction: The Zondo Commission, South Africa. Out-Law. https://www.pinsentmasons.com/out-law/guides/introduction-the-zondo-commission-south-africa

[74] Polizzi, Salvatore & Scannella, Enzo. (2022). Continuous auditing in public sector and central banks: a framework to tackle implementation challenges. Journal of Financial Regulation and Compliance. 31. 10.1108/JFRC-02-2022-0011.

[75] Prabin Adhikari, Prashamsa Hamal and Francis Baidoo Jnr. (2024). Artificial Intelligence in fraud detection: Revolutionizing financial security. International Journal of Science and Research Archive, 13(01), 1457–1472. DOI: https://doi.org/10.30574/ijsra.2024.13.1.1860

[76] Pratama, Satrya & Wahid, Arif. (2025). Fraudulent Transaction Detection in Online Systems Using Random Forest and Gradient Boosting. Journal of Cyber Law. 1. 10.63913/jcl.v1i1.5.

[77] Punch. (2024). Public officials received N721bn bribe in 2023 — NBS report. Punch Newspapers. https://punchng.com/public-officials-received-n721bn-bribe-in-2023-nbs-report

[78] Salim Rhajaboo Jana. (2025). Exploring the Effect of E-governance on Local Government Service Improvement in Malawi: Case of using IFMIS. Public Policy and Administration Research ISSN 2224-5731(Paper) ISSN 2225-0972(Online). Vol.15, No.1. DOI: 10.7176/PPAR/15-1-08

[79] Sanction Scanner. (2024). Embezzlement. Sanction Scanner. Retrieved November 17, 2025, from https://www.sanctionscanner.com/knowledge-base/embezzlement-1078

[80] Sarjito, Aris. (2024). Data Security and Privacy in the Digital Era: Challenges for Modern Government. JIAN - Jurnal Ilmiah Administrasi Negara. 8. 01-13. 10.56071/jian.v8i3.933.

[81] Saurabh Mishra, Mahendra Shinde, Aniket Yadav, Bilal Ayyub, Anand Rao. (2024). An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement. https://arxiv.org/abs/2412.00224

[82] Schneider dos Santos, E., Machado dos Santos, M., Castro, M. et al. (2025). Detection of fraud in public procurement using data-driven methods: a systematic mapping study. EPJ Data Sci. 14, 52. https://doi.org/10.1140/epjds/s13688-025-00569-3

[83] Spyromitros, E., & Panagiotidis, M. (2022). The impact of corruption on economic growth in developing countries and a comparative analysis of corruption measurement indicators. Cogent Economics & Finance, 10(1). https://doi.org/10.1080/23322039.2022.2129368

[84] Terseer Anthony MAKAR, Ayila NGUTSAV, Victor Ushahemba IJIRSHAR, Joyce Mbakosun AYAGA. (2023). IMPACT OF CORRUPTION ON ECONOMIC GROWTH: AN EMPIRICAL EVIDENCE FROM NIGERIA. Journal of Public Administration, Finance and Law Issue 27/2023 254 https://doi.org/10.47743/jopafl-2023-27-20

[85] Thanasas, G. , Kampiotis, G. and Karkantzou, A. (2025) Enhancing Transparency and Efficiency in Auditing and Regulatory Compliance with Disruptive Technologies. Theoretical Economics Letters, 15, 214-233. doi: 10.4236/tel.2025.151013.

[86] Too Kiprotich Willy, Dr. Machoka Paul. (2021). INTEGRATED FINANCIAL MANAGEMENT INFORMATION SYSTEM IMPLEMENTATION ON PROCUREMENT PERFORMANCE OF STATE OWNED ENTERPRISES IN KENYA. International Research Journal Publishers, Vol 2, Issue 2, pp 298-314, ISSN 2710-2742, Vol 2, Issue 2, pp 298-314

[87] Transparency International. (2024). Corruption Perceptions Index 2023: Weakening justice systems leave corruption unchecked. Transparency International. https://www.transparency.org/en/press/cpi2023-corruption-perceptions-index-weakening-justice-systems-leave-corruption-unchecked

[88] Transparency International. (n.d.). What is corruption? Transparency International. Retrieved November 16, 2025, from https://www.transparency.org/en/what-is-corruption

[89] World Bank. (2022). What are the costs of corruption? World Bank Blogs. https://blogs.worldbank.org/en/governance/what-are-costs-corruption

[90] Yisong Chen, Chuqing Zhao, Yixin Xu, Chuanhao Nie, Yixin Zhang. (2025). Deep Learning in Financial Fraud Detection: Innovations, Challenges, and Applications. Data Science and Management, ISSN 2666-7649. https://doi.org/10.1016/j.dsm.2025.08.002.

[91] Yoon, K., Liu, Y., Chiu, T., & Vasarhelyi, M. A. (2021). Design and evaluation of an advanced continuous data level auditing system: A three-layer structure. International Journal of Accounting Information Systems, 42, 100524. https://doi.org/10.1016/j.accinf.2021.100524

[92] World Bank. (2021). Finding fraud: The hidden threat to development. World Bank. https://www.worldbank.org/en/events/2021/01/27/finding-fraud

[93] Zahir Irani, Raul M. Abril, Vishanth Weerakkody, Amizan Omar, Uthayasankar Sivarajah. (2023). The impact of legacy systems on digital transformation in European public administration: Lesson learned from a multi case analysis. Government Information Quarterly, Volume 40, Issue 1, 101784, ISSN 0740-624X. https://doi.org/10.1016/j.giq.2022.101784.

[94] Ziorklui, Joseph & Ampofo, Frederick Owusu & Antwi, Bernard & Nyonyoh, Nicholas. (2024). Effectiveness of internal controls mechanisms in preventing and detecting fraud. Finance & Accounting Research Journal. 6. 1259-1274. 10.51594/farj.v6i7.1322.

[95] Zygoulis, Photios. (2025). AI-Powered Predictive Analytics in Risk-Based Internal Auditing From Reactive to Proactive Risk Management. 10.13140/RG.2.2.14293.49121.

How to cite this paper

Osuntoyinbo Tolulope Margaret "Combating Public Sector Fraud Through Technology-Driven Compliance Systems" Iconic Research And Engineering Journals Volume 9 Issue 8 2026 Page 644-661 https://doi.org/10.64388/IREV9I8-1714217
Osuntoyinbo Tolulope Margaret "Combating Public Sector Fraud Through Technology-Driven Compliance Systems" Iconic Research And Engineering Journals, vol. 9, no. 8, Feb. 2026, doi: https://doi.org/10.64388/IREV9I8-1714217
Osuntoyinbo Tolulope Margaret (2026). Combating Public Sector Fraud Through Technology-Driven Compliance Systems. Iconic Research And Engineering Journals, 9(8). doi: https://doi.org/10.64388/IREV9I8-1714217
Osuntoyinbo Tolulope Margaret "Combating Public Sector Fraud Through Technology-Driven Compliance Systems" Iconic Research And Engineering Journals, vol. 9, no. 8, Feb. 2026. Crossref, https://doi.org/10.64388/IREV9I8-1714217
@article{1714217,
      author = {Osuntoyinbo Tolulope Margaret},
      title = {Combating Public Sector Fraud Through Technology-Driven Compliance Systems},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {8},
      pages = {644-661},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1714217.pdf},
      abstract = {This study provides a rigorous, multidimensional examination of technology-enabled compliance systems and their transformative impact on fraud prevention and financial integrity within public governance. Drawing on empirical evidence from integrated financial management systems, predictive and rule-based analytics, continuous auditing frameworks, and automated control architectures, the paper demonstrates how digital infrastructures are reshaping oversight in government finance. Technology enables a decisive shift from fragmented, retrospective auditing to real-time, data-driven assurance, supported by full-population testing, anomaly detection, automated exception reporting, and intelligent risk-scoring models. These advancements strengthen transparency, reduce fiscal leakages, and enhance accountability across ministries and agencies. Yet, the analysis also reveals systemic constraints that complicate digital adoption, including cybersecurity vulnerabilities inherent in expanding government data ecosystems, high modernization costs, institutional resistance, and the growing ethical complexity of algorithmic governance. Skills gaps among compliance professionals further limit the effective use of advanced analytics and AI-assisted monitoring tools. In response, the study argues for a strong policy and institutional agenda, anchored in strengthened legal frameworks, improved data governance, protected whistleblowing channels, and deep cross-sector collaboration to ensure responsible, equitable, and sustainable deployment of these technologies. In all, the paper concludes that technology is an operational enhancement and a strategic deterrent to fraud, offering a structural pathway toward resilient, transparent, and trustworthy public financial management systems.},
      keywords = {Digital Compliance, Public Financial Management, Continuous Auditing, Predictive Analytics, Algorithmic Governance, Fraud Prevention, Fiscal Transparency, Ai-Enabled Oversight, E-Governance Systems},
      month = {February},
      doi = {https://doi.org/10.64388/IREV9I8-1714217}
  }