9 publications
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From Perception to Empirical Association: an Integrated Assessment of Fraud Detection Effectiveness Using Forensicanalytics, Internal Controls, and Continuous AuditingBy David Sunday Araoti
Abstract: The increasing complexity of financial transactions and the limitations of perception‑based fraud detection studies necessitate empirically grounded frameworks that move beyond subjective assessments. This study advances the literature by examining the associations among data‑driven forensic analytics (DDFA), internal control systems (ICS), continuous auditing (CA), and fraud detection effectiveness (FDE) using an integrated empirical assessment. An integrated model combining these three mechanisms is developed. A quantitative cross‑sectional research design is adopted, …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article →
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An Empirical Assessment of Integrated Fraud Detection Mechanisms:Evidence from Finance and Audit ProfessionalsBy David Sunday Araoti
Abstract: This study examines the effectiveness of an integrated fraud detection framework combining data‑driven forensic analytics, internal control systems, and continuous auditing mechanisms. While prior research often examines these components in isolation, this study adopts a unified empirical approach to assess their joint contribution to perceived fraud detection effectiveness. Design/methodology/approach: A quantitative cross‑sectional design is employed using primary survey data collected from 120 finance, audit, and risk professionals across banking, manufacturing, …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 Read article →
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From Perception to Prediction? a Cross‑sectionalsurvey of 120 Finance Professionals with Fulldiagnostic ChecksBy David Sunday Araoti
Abstract: Purpose: Perception‑based surveys are common in forensic accounting research but are often criticised for lacking methodological rigor, particularly regarding common method bias, multicollinearity, and discriminant validity. This study addresses these criticisms by presenting a cross‑sectional survey of 120 finance and audit professionals that implements and transparently reports a comprehensive suite of diagnostic checks – including Harman’s single‑factor test, full collinearity VIF, confirmatory factor analysis (CFA), average variance extracted (AVE), composite …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article →
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Artificial Intelligence Adoption and Performanceefficiency in Accounting Systems of Emergingeconomies: an Analytics Maturity PerspectiveBy David Sunday Araoti
Abstract: This study examines the association between Artificial Intelligence (AI) adoption and performance efficiency in accounting systems of emerging economies, with analytics maturity as a mediating variable. The study uses the Technology Acceptance Model (TAM) and Resource-Based View (RBV) as supporting lenses. Analytics maturity is operationalized using a composite measurement index (Data Analytics Maturity Indicators – DAMI). A cross-sectional descriptive and explanatory survey design was adopted. Primary data were collected from …
Published in NOLEGEIN Journal of Business Ethics , Ethos & CSRw · Vol. 9, Issue 2, 2026 · pp. 6–12 Read article →
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When Technology Maturity Matters: a Moderated Regression Study of Forensic Analytics and Fraud DetectionBy David Sunday Araoti
Abstract: Purpose: Data‐driven forensic analytics (DDFA) is widely promoted as a key tool for fraud detection, yet organisations report mixed results. This study investigates whether the effectiveness of DDFA depends on the organisation’s technological maturity – defined asthe sophistication of IT infrastructure, data governance, and analytical skills. Design/Methodology/Approach: A two‐wave longitudinal survey was conducted with 210 finance and audit professionals in a large emerging economy; 178 completed both waves (retention 84.8%). …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 Read article →
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Data Analytics First, Controls Second, Auditing Third: Ranking the Relative Strength of Three Fraud Detection MechanismsBy David Sunday Araoti
Abstract: Purpose: In the era of digital finance, organizations deploy multiple mechanisms to combat fraud, including Data-Driven Forensic Analytics (DDFA), Internal Control Integrity (ICI), and Continuous Auditing Systems (CAS). However, practitioners often struggle with resource allocation, unsure which mechanism yields the highest return on investment. This study addresses this gap by empirically ranking the relative strength of these three predictors in explaining Fraud Detection Effectiveness (FDE). Design/methodology/approach: The study synthesizes empirical …
Published in NOLEGEIN Journal of Organizational Behavior Management · Vol. 9, Issue 2, 2026 Read article →
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The Effect of Digital Payment Systems on Financial Performance of Small Retailers: Evidence from a Social Media-Based Survey in NigeriaBy David Sunday Araoti
Abstract: Objective: This study examines the effect of digital payment systems on the financial performance of small retailers in Nigeria using primary data collected through a social media-based survey. Material and Methods: A cross-sectional research design was employed. Data were collected from 350 small retail business owners through structured questionnaires distributed via social media platforms, including WhatsApp and Facebook. A non-probability convenience sampling technique was adopted. The collected data were analyzed …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 2, 2026 · pp. 1–7 Read article →
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What DO Audit Directors SAY? Qualitative Validation of the CAS Control Adjustment → Detection PathwayBy David Sunday Araoti
Abstract: Purpose: Quantitative studies have established that Continuous Auditing Systems (CAS) are positively associated with Fraud Detection Effectiveness (FDE), and that Internal Control Integrity (ICI) mediates this relationship. However, the underlying mechanisms remain a “black box.” This study provides qualitative validation of the mediation pathway, exploring how real‑time monitoring translates into improved detection outcomes through control adjustments. Design/methodology/approach: Semi‑structured interviews were conducted with 15 audit directors (10 internal audit heads, 5 …
Published in NOLEGEIN Journal of Leadership and Strategic Management · Vol. 9, Issue 2, 2026 · pp. 50–58 Read article →
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Predictive Fraud Detection Architecture: A Multi-Method Empirical Evaluation of Data-Driven Forensic Analytics, Internal Control Systems, and Continuous Auditing Using Primary Organizational DataBy David Sunday Araoti
Abstract: The growing complexity of financial systems and the increasing sophistication of fraudulent activities have intensified the need for predictive and data-driven fraud detection architectures. Traditional audit approaches, characterized by periodic reviews and retrospective analysis, are no longer sufficient to address real-time financial risks. This study develops and empirically evaluates a predictive fraud detection architecture that integrates data-driven forensic analytics, internal control systems, and continuous auditing mechanisms using primary organizational data. …
Published in NOLEGEIN Journal of Business Risk management · Vol. 9, Issue 2, 2026 Read article →