The Factors Shaping Artificial Intelligence (AI) Adoption in the South African Accounting Ecosystem

Authors

  • Sibonelo Sibahle Mpanza

Keywords:

Artificial Intelligence, Accounting, Technology Readiness, Education

Abstract

The rapid evolution of artificial intelligence (AI) continues to transform accounting practices worldwide, with a profound impact on professional roles, education, and ethical governance. This study explores these determinants that shape AI adoption within the South African accounting ecosystem, with more emphasis on technological readiness (TR), professional transformation, accounting education, and ethical tensions. Following a qualitative approach based on secondary data, the study synthesizes existing empirical studies, professional reports, and policy documents. The research reveals that while AI enhances efficiency, accuracy, and strategic decision-making in accounting, the adoption level remains uneven because of skill shortages, ethical tensions, and institutional readiness constraints. The study further highlights the misalignment between industry-driven technological change and accounting education curricula. Through the Technological-Organization-Environmental (TOE), Unified Theory of Acceptance and Use of Technology (UTAUT), Diffusion of Innovation (DOI), and technology readiness frameworks integration, the study contributes to a contextualized comprehension of AI adoption in developing economies and provides actionable insights for educators, professional bodies, and policymakers seeking to promote responsible and sustainable AI integration in accounting.

References

Allioui, H., & Mourdi, Y. (2023). Exploring the full potentials of IoT for better financial growth and stability: A comprehensive survey. Sensors, 23(19), 8015.

Alqahtani, F., & Orji, R. (2020). Insights from user reviews to improve mental health apps. Health informatics journal, 26(3), 2042-2066.

Anh, N. T. M., Hoa, L. T. K., Thao, L. P., Nhi, D. A., Long, N. T., Truc, N. T., & Ngoc Xuan, V. (2024). The effect of technology readiness on adopting artificial intelligence in accounting and auditing in Vietnam. Journal of Risk and Financial Management, 17(1), 27.

Bishop, P. (2020). Three ways AI turns accountants into changemaker. Tax Professional, 38, 30-31.

Butler, T., Espinoza-Limón, A., & Seppälä, S. (2021). Towards a capability assessment model for the comprehension and adoption of AI in organisations. Journal of AI, Robotics & Workplace Automation, 1(1), 18-33.

Cory, S. N., & Pruske, K. A. (2012). A factor analysis of the skills necessary in accounting graduates. Journal of Business and Accounting, 5(1), 121-128.

Crosbie, T., Broderick, J., Short, M., Charlesworth, R., & Dawood, M. (2018). Demand Response Technology Readiness Levels for Energy Management in Blocks of Buildings. Buildings, 8(2), 13. https://www.mdpi.com/2075-5309/8/2/13

Damerji, H., & Salimi, A. (2021). Mediating effect of use perceptions on technology readiness and adoption of artificial intelligence in accounting. Accounting Education, 30(2), 107-130.

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., & Eirug, A. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.

Garrett, N., Beard, N., & Fiesler, C. (2020). More than “If Time Allows” the role of ethics in AI education. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society.

Grosz, B. J., Grant, D. G., Vredenburgh, K., Behrends, J., Hu, L., Simmons, A., & Waldo, J. (2019). Embedded EthiCS: integrating ethics across CS education. Communications of the ACM, 62(8), 54-61.

Gu, H., Schreyer, M., Moffitt, K., & Vasarhelyi, M. (2024). Artificial intelligence co-piloted auditing. International Journal of Accounting Information Systems, 54, 100698.

Handoko, B. L., Mulyawan, A. N., Samuel, J., Rianty, K. K., & Gunawa, S. (2019). Facing industry revolution 4.0 for millennial accountants. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(1), 1037-1041.

Holmes, W., & Porayska-Pomsta, K. (2023). The ethics of artificial intelligence in education. Routledge.

Igou, A., Power, D. J., Brosnan, S., & Heavin, C. (2023). Digital futures for accountants. Journal of emerging technologies in accounting, 20(1), 39-57.

Jackson, D., Michelson, G., & Munir, R. (2023). Developing accountants for the future: New technology, skills, and the role of stakeholders. Accounting Education, 32(2), 150-177.

Larasati, N., & Santosa, P. I. (2017). Technology readiness and technology acceptance model in new technology implementation process in low technology SMEs. International journal of innovation, Management and Technology, 8(2), 113.

Maduku, D. K., Mpinganjira, M., & Duh, H. (2016). Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework. International Journal of Information Management, 36(5), 711-723.

Maisera, L. T. (2024). An Exploration of Emerging Technology Adoption in South African Auditing Firms. University of Pretoria (South Africa).

Mohammad, S. J., Hamad, A. K., Borgi, H., Thu, P. A., Sial, M. S., & Alhadidi, A. A. (2020). How artificial intelligence changes the future of accounting industry. International Journal of Economics and Business Administration, 8(3), 478-488.

Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. The British Accounting Review, 51(6), 100833.

Moloi, T., & Obeid, H. (2024). Perceptions of South African Accountants on Factors with a Role in the Adoption of Artificial Intelligence in Financial Reporting. Journal of Risk and Financial Management, 17(9), 389.

Nga, N. T. V., Xuan, V. N., Trong, V. A., Thao, P. H., & Doanh, D. C. (2023). Perceived Barriers and Intentions to Receive COVID-19 Vaccines: Psychological Distress as a Moderator. Vaccines, 11(2), 289. https://www.mdpi.com/2076-393X/11/2/289

Odonkor, B., Kaggwa, S., Uwaoma, P. U., Hassan, A. O., & Farayola, O. A. (2024). The impact of AI on accounting practices: A review: Exploring how artificial intelligence is transforming traditional accounting methods and financial reporting. World Journal of Advanced Research and Reviews, 21(1), 172-188.

Oliveira, T., & Martins, M. F. (2011). Literature review of information technology adoption models at firm level. Electronic Journal of Information Systems Evaluation, 14(1), 110‑121.

Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index:TRI 2.0. Journal of Service Research, 18(1), 59-74. https://doi.org/10.1177/1094670514539730

Paudel, G. P., Gartaula, H., Rahut, D. B., Justice, S. E., Krupnik, T. J., & McDonald, A. J. (2023). The contributions of scale-appropriate farm mechanization to hunger and poverty reduction: evidence from smallholder systems in Nepal. Journal of Economics and Development, 25(1), 37-61. https://doi.org/10.1108/jed-10-2022-0201

Rogers, E. M. (2003). Diffusion of Innovations, 5th Edition. Free Press. https://books.google.co.za/books?id=9U1K5LjUOwEC

Rogers, E. M., & Williams, D. (1983). Diffusion of Innovations. The Free Press.

SAICA. (2023). Competency framework: Future-ready chartered accountants. https://www.saica.org.za/

SAICA. (2025). SAICA champions AI readiness through landmark maturity assessment for South Africa. South African Institute of Chartered Accountants. https://www.saica.org.za/news/saica-champions-ai-readiness-through-landmark-maturity-assessment-for-south-africa

Salman, D., & Ismael, D. (2023). The effect of digital financial inclusion on the green economy: the case of Egypt. Journal of Economics and Development, 25(2), 120-133. https://doi.org/10.1108/jed-05-2022-0087

Son, N. N., Thu, N. T. P., Dung, N. Q., Huyen, B. T. T., & Xuan, V. N. (2023). Determinants of the Sustained Development of the Night-Time Economy: The Case of Hanoi, Capital of Vietnam. Journal of Risk and Financial Management, 16(8), 351. https://www.mdpi.com/1911-8074/16/8/351

Spraakman, G., O’Grady, W., Askarany, D., & Akroyd, C. (2015). Employers’ perceptions of information technology competency requirements for management accounting graduates. Accounting Education, 24(5), 403-422.

Stoner, G. (2009). Accounting students’ IT application skills over a 10-year period. Accounting Education, 18(1), 7-31.

Strong, J., & Portz, K. (2015). IT knowledge: What do accounting students think they know? Do you know more than I do? An exploratory study. Review of Business Information Systems, 19(2).

Tempone, I., Kavanagh, M., Segal, N., Hancock, P., Howieson, B., & Kent, J. (2012). Desirable generic attributes for accounting graduates into the twenty‐first century: the views of employers. Accounting Research Journal, 25(1), 41-55.

Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425-478.

Zhang, C., Zhu, W., Dai, J., Wu, Y., & Chen, X. (2023). Ethical impact of artificial intelligence in managerial accounting. International Journal of Accounting Information Systems, 49, 100619.

Downloads

Published

2026-05-29

Issue

Section

Articles

How to Cite

The Factors Shaping Artificial Intelligence (AI) Adoption in the South African Accounting Ecosystem. (2026). EuroEconomica, 45(1), 46-57. https://dj.univ-danubius.ro/index.php/EE/article/view/3890