Ethical Impacts of Artificial Intelligence on Managerial Accounting Functions in Nigeria
1 National Open University of Nigeria
2 University of Jos
* Corresponding author: mkeswet@noun.edu.ng
2 University of Jos
* Corresponding author: mkeswet@noun.edu.ng
Abstract
The study was motivated by need to integrate artificial intelligence (AI) into managerial accounting so as to transformed organizational decision-making which has raised significant ethical concerns. The purpose of this study was to explored ethical impacts of AI on managerial accounting functions in Nigeria, the study was guided by two research objectives, two research questions and two hypotheses. Descriptive and empirical research design were employed in conducting the research. The population of the study was 32 AI-integrated firms in all the Lagos AI-integrated forms and a sample of 30 AI- integrated firms were used for the study. Sample random sampling technique was used in selecting the sample for the study using the taro yamane formula. Specifically, the hat and draw method. The instruments used for data collection were ethical impact of artificial intelligence on managerial accounting function questionnaire and ethical impact of artificial intelligence on managerial accounting function interview. The instruments were validated by lecturers in accounting Department Faculty of Social Science University of Jos. online and direct methods of data collection were used in collecting the data for the study. The data collected was analyzed using Descriptive statistics and multiple linear regression analysis with the help of SPSS v24. The results revealed that while ethical constructs were highly valued by respondents, they did not had a statistically significant effect on the perceived adoption or effectiveness of AI systems. The study recommended the need for ethical awareness and the implementation of these principles in Nigerian managerial accounting practices for the development of targeted policy interventions, the establishment of organizational ethical frameworks, and capacity-building initiatives to foster responsible AI adoption.
Keywords
Artificial Intelligence
Ethics
Managerial Accounting
AI Adoption
References
- Cheng, Y., Rahman, M. J., & Zhu, Y. (2024). Artificial intelligence-based decision-making in accounting and its ethical implications. Accounting, Auditing & Accountability Journal, 37(2), 123–145. https://doi.org/10.1108/AAAJ-09-2020-4934
- Choudhary, A. (2024). Ethical implications of AI in accounting. Kiplinger. https://www.kiplinger.com/kiplinger-advisor-collective/ai-artificial-intelligence-in-accounting-ethical-implications
- Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.
- Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. (Doctoral dissertation). Massachusetts Institute of Technology.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
- Kokina, J., & Davenport, T. H. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115–122. https://doi.org/10.2308/jeta-51730
- Kothari, C. R. (2020). Research methodology: Methods and techniques (4th ed.). New Age International Publishers.
- Lehner, O. M., Ittonen, K., Silvola, H., Ström, E., & Wührleitner, A. (2022). Artificial intelligence-based decision-making in accounting and auditing: Ethical challenges and normative thinking. Accounting, Auditing & Accountability Journal, 35(9), 109–135. https://doi.org/10.1108/AAAJ-09-2020-4934
- Mediaty, M., Indrijawati, A., Pratama Kohar, Y., Sutriani, S., & Salsabila, T. (2024). Review of artificial intelligence in accounting: Trends, implementation, and implications. Journal of Accounting and Finance Management, 5(5), 1146–1160. https://doi.org/10.38035/jafm.v5i5.1222
- Moffitt, K. C., Rozario, A. M., & Vasarhelyi, M. A. (2018). Robotic process automation for auditing. Journal of Emerging Technologies in Accounting, 15(1), 1–10. https://doi.org/10.2308/jeta-10589
- Munoko, I., Brown-Liburd, H., & Vasarhelyi, M. A. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209–234. https://doi.org/10.1007/s10551-019-04120-9
- National Bureau of Statistics. (2023). Annual report on technology adoption in Lagos State. https://nigerianstat.gov.ng
- Vărzaru, A. A. (2022). Assessing the impact of AI solutions' ethical issues on performance in managerial accounting. Electronics, 11(14), 2221. https://doi.org/10.3390/electronics11142221
- 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. https://doi.org/10.1016/j.accinf.2023.100619
How to Cite
Andrew, K. M., & John, E. A. (2025). Ethical Impacts of Artificial Intelligence on Managerial Accounting Functions in Nigeria. Management Sciences Horizon Journal, 1(1), 15-24.
K. M. Andrew, and E. A. John, "Ethical Impacts of Artificial Intelligence on Managerial Accounting Functions in Nigeria," Management Sciences Horizon Journal, vol. 1, no. 1, pp. 15-24, July 2025.
