References
African Tax Administration Forum. (2021). African tax outlook 2021 (6th ed.). ATAF. Ajala, O. A., & Adegbie, F. F. (2020). Information technology and effective tax assessment in Nigeria. International Journal of Accounting and Finance, 8(1), 45–67. Akinwale, Y. O., & Adepoju, A. A. (2021). Artificial intelligence adoption in Nigerian tax administration: A mixed-methods study. Nigerian Journal of Accounting Research, 17(1), 78–102. Al-Khalaileh, M. A. (2025). The role of artificial intelligence in tax administration and its impact on corporate tax compliance in Jordan. Journal of Emerging Technologies in Accounting, 22(1), 45–68. Bankole, K. O., Osamor, I. P., & Bamgboye, O. A. (2025). Artificial intelligence technologies and tax administration efficiency in Lagos State, Nigeria. African Journal of Accounting, Auditing and Finance, 8(1), 34–58. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. Baruch, Y., & Holtom, B. C. (2008). Survey response rate levels and trends in organizational research. Human Relations, 61(8), 1139–1160. Batubara, F. R. (2021). Technology acceptance model in e-government: A systematic literature review. IOP Conference Series: Materials Science and Engineering, 1098(3), 032067. Belahouaoui, R., & Attak, E. H. (2024). Artificial intelligence in tax administration and compliance behavior: A conceptual framework. International Journal of Digital Accounting Research, 24, 1–28. Dagunduro, M. E., Adegbie, F. F., & Akintoye, I. R. (2025). Artificial intelligence and tax evasion: A study of Federal Inland Revenue Service, Ikeja, Lagos. International Journal of Advanced Economics, 7(1), 15–32. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160. Faúndez-Ugalde, A., Mellado-Silva, R., & Aldunate-Lizana, E. (2020). Use of artificial intelligence by tax administrations: An analysis of emerging trends. Inter-American Center of Tax Administrations Journal, 1(1), 45–67. Goodfellow, I., Bengio, Y., & Courville, A. (2021). Deep learning. MIT Press. Gupta, S., Bhattacharya, S., & Gupta, A. (2022). Technology acceptance model in public sector: A systematic review. Digital Government: Research and Practice, 3(2), 1–20. Hassan, M. M. (2021). Institutional isomorphism and e-government adoption in developing countries. Government Information Quarterly, 38(3), 101589. International Monetary Fund. (2020). Domestic revenue mobilization in developing economies. IMF Fiscal Affairs Department. International Monetary Fund. (2022). Sub-Saharan Africa regional economic outlook: Living on the edge. IMF. International Monetary Fund. (2023). Digital transformation and revenue administration. IMF Fiscal Affairs Department. Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610. JBAE Lagos State Government. (2024). Lagos revenue portal launch report. Lagos State Ministry of Finance. Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363. Mudome, N., & Ndiege, J. R. A. (2025). Artificial intelligence and tax collection in developing countries: A systematic literature review. Digital Policy, Regulation and Governance, 27(1), 1–22. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill. Nwanmaghyi, C., & Oluwaseun, O. (2023). Digitalisation and tax compliance in Nigeria: A quantitative analysis. West African Journal of Industrial and Academic Research, 27(1), 89–112. Nwuzor, C. I. (2025). Artificial intelligence and taxation in Nigeria: A legal doctrinal analysis. Nigerian Law Journal, 23(1), 67–92. Odia, J. O., & Ogiedu, K. O. (2021). Digital transformation of tax administration in Nigeria: Prospects and challenges. Accounting and Taxation Review, 5(2), 34–56. Okoye, E. I., & Ezejiofor, R. A. (2020). Effect of electronic tax systems on tax administration in Nigeria. International Journal of Business and Management, 15(3), 89–102. Organisation for Economic Co-operation and Development. (2020). Tax administration 2020: Comparative information on OECD and other advanced and emerging economies. OECD Publishing. Organisation for Economic Co-operation and Development. (2021). Tax administration 2021: Comparative information on OECD and other advanced and emerging economies. OECD Publishing. Oyetunji, T. A., & Adebayo, O. S. (2024). Machine learning techniques for tax fraud detection in Nigeria: A conceptual framework. Journal of Digital Forensics, Security and Law, 19(1), 1–24. Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson. Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). Sage Publications. Sharma, R. (2021). Resource-based view of digital transformation. Journal of Strategic Information Systems, 30(2), 101654. U.S. Government Accountability Office. (2022). IRS return review program: Opportunities exist to increase use of systematic timeframes. GAO. Wade, M., & Hulland, J. (2004). Review: The resource-based view and information systems research. MIS Quarterly, 28(1), 107–142. Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180. World Bank. (2021). Digital dividends in tax administration: A guide for developing countries. World Bank Group. World Bank. (2022). Nigeria public finance review: Fiscal policy for growth and jobs. World Bank Group.