Big Data Analytics and Tax Revenue Generation Efficiency in Nigeria (Published)
This study examined the effect of Big Data analytics on the efficiency of tax revenue generation in Nigeria. Data were sourced from field surveys and analyzed using SPSS and SmartPLS software. A population of 16,500 was considered, and a sample size of 391 was determined using the Taro Yamane formula. Both descriptive and inferential statistical methods were employed for the analysis. The initial estimations confirmed the reliability and validity of the research instruments using Bartlett’s Test of Sphericity and Cronbach’s Alpha. Descriptive statistics revealed that the majority of respondents affirmed that Big Data significantly enhances the efficiency of tax revenue generation. Furthermore, regression analysis showed that Big Data had a significant effect on each of the four models of efficiency of company income tax revenue generation, efficiency of value-added tax revenue generation, efficiency of efficiency personal income tax revenue generation, and efficiency of efficiency information technology tax revenue generation. The study concluded that, big data enhances tax revenue generation in Nigeria. It recommended that, in response to the growing volume of electronic transactions and the need to remain relevant in the digital economy, the adoption of Big Data and other disruptive technologies in tax administration is imperative for enhancing efficiency, accuracy, and timely tax revenue generation in Nigeria.
Keywords: Big Data, Company Income Tax, Revenue Generation, efficiency information technology tax, efficiency of tax revenue, efficiency of value-added tax