EFFECT OF COMPUTERIZED FORENSIC INVESTIGATION TECHNIQUES ON FRAUD MANAGEMENT IN LAGOS STATE MINISTRIES, DEPARTMENTS AND AGENCIES

Abstract

This study examined the effect of computerized forensic investigation techniques on fraud management in Lagos State Ministries, Departments, and Agencies (MDAs). Specifically, the study assessed the roles of Big Data Analytics, Artificial Intelligence, Data Mining Techniques, Cloud Accounting, and Computer Auditing Techniques in enhancing fraud management, drawing on the Fraud Management Lifecycle Theory. Adopting a quantitative survey research design and a positivist epistemological stance, primary data were collected through structured questionnaires administered to staff of selected Lagos State MDAs. Data were analyzed using descriptive statistics, correlation analysis, and multiple linear regression. The findings revealed that Big Data Analytics and Artificial Intelligence exerted positive and statistically significant effects on fraud management, while Data Mining Techniques and Cloud Accounting showed no significant effect. Computer Auditing Techniques, however, demonstrated a negative and statistically significant relationship with fraud management. The study concluded that advanced technologies, particularly Big Data Analytics and Artificial Intelligence, are critical to strengthening fraud management in Lagos State MDAs. Consequently, the study recommended prioritizing investments in these technologies, reassessing the application of Data Mining, Cloud Accounting, and Computer Auditing Techniques, and implementing continuous training and capacity-building programs to enhance the effective use of computerized forensic investigation tools in the public sector.

Keywords: Fraud management, Big Data Analytics, Artificial Intelligence, Data Mining, Cloud Accounting, and Computer Auditing Techniques.