Impact of Technology Adoption on Data Analytics among Small and Medium Enterprises in the Local Government of Ibadan North, Oyo State, Nigeria

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.