Forensic Accounting Techniques and Financial Crime Detection and Prevention: Evidence from Nigeria's Economic and Financial Crimes Commission
DOI:
https://doi.org/10.33003/fujafr-2026.v4i3.420.412-426Keywords:
Forensic accounting techniques, Financial crime detection, Financial crime preventionAbstract
Purpose: This study examines the effect of forensic accounting techniques on financial crime detection and prevention in Nigeria’s Economic and Financial Crimes Commission (EFCC), focusing on data analytics, digital forensics, and forensic document examination.
Methodology: The study adopted a quantitative cross-sectional survey design. Data were collected from EFCC personnel involved in Investigation, Forensic Accounting, Intelligence, Audit, and Legal/Prosecution functions using a structured five-point Likert-scale questionnaire. Of the 157 questionnaires administered, 152 were retrieved, two were excluded, and 150 valid responses were analysed. The data were analysed using descriptive statistics and Partial Least Squares Structural Equation Modelling (PLS-SEM) with SPSS 29 and SmartPLS 4.
Results and conclusion: The findings revealed that data analytics had a significant positive effect on financial crime detection but no statistically significant effect on prevention. Digital forensics and forensic document examination had significant positive effects on both financial crime detection and prevention. The study concludes that forensic accounting techniques contribute differently to financial crime control, with their effectiveness depending on the specific control outcome examined.
Implication of findings: The findings highlight the need for the EFCC to strengthen its use of digital forensics and forensic document examination while sustaining data analytics capabilities for financial crime detection. They also provide empirical evidence to guide institutional capacity development and the targeted deployment of forensic accounting techniques for financial crime control.
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