This study assesses the role of technology adoption in enhancing data analytics for fraud detection among SMEs in Ibadan North Local Government, Oyo State, Nigeria. Fraud remains a significant threat to SMEs, causing financial losses and compromising operational integrity. Traditional detection methods are often inadequate, highlighting the need for more effective technology-driven solutions. The research employs a descriptive survey design, using a sample of 356 SMEs selected through stratified random sampling. Data were collected using structured questionnaires and analyzed using regression analysis. The findings reveal a strong positive and statistically significant relationship between technology adoption and improved fraud detection capabilities. Technology adoption explains approximately 47.3% of the variation in enhanced analytics, with tools such as Power BI, QuickBooks, and forensic software enabling more accurate anomaly identification, predictive risk assessment, and real-time monitoring. The study concludes that integrating modern technologies, such as digital payment systems, automated auditing software, and cloud-based analytics, strengthens internal controls, reduces fraud risks, and improves financial decision-making. Recommendations include the adoption of integrated data analytics systems, implementation of secure cloud platforms, and continuous evaluation of technological effectiveness. The study is anchored in the TAM, which provides a theoretical lens for understanding adoption behavior based on perceived usefulness and ease of use.
Babatunde et al. (Thu,) studied this question.