Volume 2 - Issue 5, September - October 2026
๐ Paper Information
| ๐ Paper Title | From Prediction to Practice: Artificial Intelligence in Performance Management and Employee Retention |
| ๐ค Authors | CT. Vasantha, Dr. S. Bharathi |
| ๐ Published Issue | Volume 2 Issue 5 |
| ๐ Year of Publication | 2026 |
| ๐ Unique Identification Number | IJAMRED-V2I5P42 |
| ๐ Search on Google | Click Here |
๐ Abstract
In Nigeria, tax compliance continues to fall short of what is needed to sustain public services, even under selfassessment arrangements that presume voluntary reporting and timely payment. In view of this, this study
examined the effect of tax payersโ demographics on the tax compliance in Nigeria. The specific objectives were
to analyze the effect of age of tax payers age, tax payersโ income level and educational level of tax payers on tax
remittances in Nigeria. The research design adopted for this study was ex post facto and secondary data were
used. Data were analysed using ordinary least squares regression and the statistical software used was Eviews
version 10. The study findings revealed that age of tax payers has nonsignificant effect (Coeff. = 8.0932{0.9872})
on tax remittances in Nigeria, income level of tax payers has significant effect (Coeff. = 6.2492{0.0000}) on tax
remittances in Nigeria and education level of tax payers has significant effect (Coeff. = 0.0281{0.0200}) on tax
remittances in Nigeria. It was concluded that taxpayersโ demographics are significant determinants of tax
compliance in Nigeria. It was therefore recommended among others that the Federal Government should enhance
tax enforcement mechanisms and introduce incentives to encourage high-income earners to comply with tax regulations, including the implementation of progressive tax rates to optimize revenue collection.
๐ How to Cite
CT. Vasantha, Dr. S. Bharathi,"From Prediction to Practice: Artificial Intelligence in Performance Management and Employee Retention" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(5): Page(366-376) September - October 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.
