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Adoption of Artificial Intelligence: A Tool for Decision Making in Accounting Practice

Ayomide Gabriel IGE, Adebimpe Funmilayo ALUKO, Faith Oluwaleke ORIMAYE, Olusola Bamidele ADEBAYO, Taiwo ADENIRAN

Abstract

Artificial intelligence (AI) is rapidly changing how financial institutions are operated and it is expected to increasingly take over core functions because of cost savings and operational efficiencies. In recent times, significant improvement has been made in artificial intelligence, especially as it relates to accounting profession which has changed its focus from paper and pencil entry to computer and software entry. It has, during the past few years, made many signs of progress which have enabled the creation of professional financing applications, which would, perhaps, enhance the decision-making process of accounting practice. The aim of this study is to examine the adoption of artificial intelligence as a tool for decision making in accounting practice in Nigeria. A structured questionnaire was employed in the study as part of the research design process 279 accountants with experience using systems for accounting and other financial transaction functions made up the sample size and targeted population. The respondents were chosen using a purposive sampling strategy. The study revealed that artificial intelligence (AI) has a significant positive influence on quick decision-making in accounting practices at 5% of significance. The study recommended that accountants need to undergo training and retraining in a variety of AI technologies and accounting software programs, to improve their functional abilities, effectiveness, and efficiency.

Keywords

Accounting practiceAccounting professionArtificial intelligenceArtificial intelligence technologiesAccounting software programs.

References

Agrawal, A., Gans, J., & Goldfarb, A. (2019). Prediction machines: The simple economics of artificial intelligence. Harvard Business Review Press. Akinadewo I. S., Dagunduro M. E., & Osatuyi Y.A. (2023). In what way does blockchain technology tie with the efficacy of accounting practice in Nigerian accounting firms? International Journal of Business and Management Review, 12(1), 96-117. https://doi.org/10.37745/ijbmr.2013/vol11n1196117 Akinadewo, I. S., Dagunduro, M. E., Akinadewo, J. O., Oluwagbade, I. O., & Akpan, J. U. (2024). How does artificial intelligence and accountability optimize energy management and cost reduction in Nigeria’s manufacturing firms? In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG) (pp. 1- 12). IEEE. https://doi.org/10.1109/SEB4SDG60871.2024.10629858 AlSheibani, S., Cheung, Y., & Mead, D. (2020). Exploring the relationship between organizational readiness and digital transformation: Case studies of SMEs. Journal of Business Research, 123, 362–378. https://doi.org/10.1016/j.jbusres.2020.09.045 Askary, S., Saeed, M., & Abu-Ghazaleh, N. M. (2018). Artificial intelligence and accountants: A new paradigm for decision making. International Journal of Accounting Research, 6(1), 1–9. Awotomilusi, N. S., Oke, O. E., & Dagunduro, M. E. (2023). Examination of the effect of information and communication technology (ICT) on public fund management of Ekiti State, Nigeria. Social Sciences Journal. 11(1), 39-56. https://dx.doi.org/10.22624/AIMS/HUMANITIES/V11N1P4 Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. Dignum, V. (2018). Responsible artificial intelligence: How to develop and use AI in a responsible way. Springer. https://doi.org/10.1007/978-3-030-30371-6 Duffy, B. (2018). The AI accountant: Automation in the profession. Journal of Accountancy, 225(4), 36–41. Falana, G. A., Igbekoyi, O. E., & Dagunduro, M. E. (2023). Effect of big data on accounting information quality in selected firms in Nigeria. International Journal of Research and Innovation in Social Science, 7(3), 789-806. https://doi.org/10.47772/IJRISS Fountaine, T., McCarthy, B., & Saleh, T. (2019). Building the AI-powered organization. Harvard Business Review, 97(4), 62–73. Gepp, A., & Salijeni, G. (2018). Big data techniques in auditing research and practice: Current trends and future opportunities. Journal of Accounting Literature, 40, 102–115. https://doi.org/10.1016/j.acclit.2018.06.001 Ghanem, H., & Ariff, M. (2016). Technology-driven financial decisions and improved accounting outcomes. International Journal of Accounting and Finance, 5(1), 22–36. Giles, J. (2019). The Logic Theorist: The first AI program. History of Computing Journal, 10(1), 1–7. Greeman, B. (2017). Artificial intelligence and myth: From Hephaestus to deep learning. AI & Culture Publishing. Grewal, D. (2014). Artificial intelligence: A global technological revolution. International Journal of Emerging Technologies and Advanced Engineering, 4(12), 23–29. Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925 Igbekoyi, O. E., Oke, O. E., Awotomilusi, N. S., & Dagunduro, M. E. (2023). Assessment of big data and efficacy of accounting practice in Nigeria. Asian Journal of Economics, Finance and Management, 5(1), 297-312. https://globalpresshub.com/index.php/AJEFM/article/view/1862 Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007 Joseph, A., & Gaba, M. (2020). The role of AI in transforming accounting decision-making. International Journal of Finance and Accounting, 9(2), 23–31. Kwarbi, M., & Omojoye, A. (2021). The accounting profession and its evolving relevance in modern economies. Nigerian Journal of Accounting Research, 11(2), 14–28. Lee, C., & Tajudeen, F. P. (2020). The impact of artificial intelligence on the accounting profession: Evidence from Asia. Asian Journal of Accounting Perspectives, 13(1), 24–41. Lehner, O. M., Harrer, T., & Quast, M. (2021). Digital transformation and AI: Ethics, governance, and future directions. Technological Forecasting and Social Change, 165, 120570. https://doi.org/10.1016/j.techfore.2020.120570 Leyer, M., & Schneider, S. (2021). Ethical implications of AI-supported decision-making in service processes. Journal of Service Management, 32(3), 313–331. Lombardi, L., Marinelli, M., & Palumbo, P. (2015). Big data and AI: New challenges for accountability. International Journal of Digital Accounting Research, 15, 1–20. Luo, X., Tong, S., Fang, Z., & Qu, Z. (2018). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937–947. Makarius, E. E., Mukherjee, D., Fox, J., & Fox, A. K. (2020). Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization. Journal of Business Research, 120, 262–273. Martinez, J. (2019). Definitions and dimensions of artificial intelligence: A conceptual review. Journal of AI and Emerging Technologies, 1(1), 12–25. Mulgan, G. (2018). Big mind: How collective intelligence can change our world. Princeton University Press. Owonifari, V. O., Igbekoyi, O. E., Awotomilusi, N. S., & Dagunduro, M. E. (2023). Evaluation of artificial intelligence and efficacy of audit practice in Nigeria. Asian Journal of Economics, Business and Accounting, 23(16), 1-14. https://doi.org/10.9734/ajeba/2023/v23i161022 Raji, Y., & Dagunduro, M. E. (2024). The future of accounting: Efficacy of big data on accountant’s functions in the accounting information systems. Asian Journal of Economics, Business and Accounting, 24(11), 162–177. https://doi.org/10.9734/ajeba/2024/v24i111549 Ramdhani, A., Ramdhani, M. A., & Amin, A. S. (2014). Writing a literature review research paper: A step-by-step approach. International Journal of Basic and Applied Science, 3(1), 47–56. Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2017). Reshaping business with artificial intelligence: Closing the gap between ambition and action. MIT Sloan Management Review, 59(1), 1–21. Ransbotham, S., Kiron, D., Gerbert, P., & Reeves, M. (2018). Artificial intelligence in business gets real. MIT Sloan Management Review, 60(1), 1–20. Rettas, A., Smith, J., & Nguyen, L. (2019). The growing implementation of AI in modern enterprises. Enterprise Digital Research Journal, 7(3), 45–56. Ronny, S., & Yuanyuan, W. (2013). Competency and skills requirement for accounting profession in the global era. Journal of Education and Vocational Research, 4(2), 61–65. Singh, S., Kumar, R., & Sharma, P. (2013). Artificial intelligence: Concepts and future prospects. International Journal of Computer Applications, 62(4), 22–26. Stancu, A., & Dutescu, A. (2021). AI redefining the CFO’s role: A study on emerging technologies and accounting automation. Audit Financiar, 19(1), 159–170. https://doi.org/10.20869/AUDITF/2021/161/007 Turban, E., & Aronson, J. E. (1998). Decision support systems and intelligent systems (5th ed.). Prentice Hall. Vincent, N. (2021). Ethical algorithmic decision-making in accounting: A review. Journal of Business Ethics, 174(3), 457–474. Zemánková, M. (2019). AI and its growing relevance in corporate transformation. Central European Business Review, 8(4), 57–73. https://doi.org/10.18267/j.cebr.227 Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020

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