References
Abitoye, O., Abdul, A. A., Babalola, F. I., Daraojimba, C., & Oriji, O. (2023). The role of technology in modernizing accounting education for Nigerian students: A review. International Journal of Management & Entrepreneurship Research, 5(12), 892–906. https://doi.org/10.51594/ijmer.v5i12.624
Abrahams, T. O., Ewuga, S. K., Kaggwa, S., Uwaoma, P. U., Hassan, A. O., & Dawodu, S. O. (2024). Mastering compliance: A comprehensive review of regulatory frameworks in accounting and cybersecurity. Computer Science & IT Research Journal, 5(1), 120–140. https://doi.org/10.51594/csitrj.v5i1.709
Ahmad, A. Y. A. B., Abusaimeh, H., Rababah, A., Alqsass, M., Al-Olima, N., & Hamdan, M. (2024). Assessment of effects in advances of accounting technologies on quality financial reports in Jordanian public sector. Uncertain Supply Chain Management, 12(1), 133–142. https://doi.org/10.5267/j.uscm.2023.10.011
Ajayi, F. A., & Udeh, C. A. (2024). Review of workforce upskilling initiatives for emerging technologies in IT. International Journal of Management & Entrepreneurship Research, 6(4), 1119–1137. https://doi.org/10.51594/ijmer.v6i4.1003
Ajayi-Nifise, A. O., Odeyemi, O., Mhlongo, N. Z., Ibeh, C. V., Elufioye, O. A., & Awonuga, K. F. (2024). The future of accounting: Predictions on automation and AI integration. World Journal of Advanced Research and Reviews, 21(2), 399–407. https://doi.org/10.30574/wjarr.2024.21.2.0466
Akter, L., Mondal, R. S., & Bhuiyan, M. N. A. (2025). Artificial intelligence application in public health: Advancement and associated challenges. Journal of Primeasia, 6(1), 1–10. https://doi.org/10.25163/primeasia.6110325
Al-Hawari, M., & Ward, T. (2006). The effect of automated service quality on Australian banks' financial performance and the mediating role of customer satisfaction. Marketing Intelligence & Planning, 24(2), 127–147. https://doi.org/10.1108/02634500610653991
Almeida, P., Santos, C., & Farias, J. S. (2020). Artificial intelligence regulation: A meta-framework for formulation and governance. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS). https://doi.org/10.24251/HICSS.2020.647
Amiri-Zarandi, M., Hazrati Fard, M., Yousefinaghani, S., Kaviani, M., & Dara, R. (2022). A platform approach to smart farm information processing. Agriculture, 12(6), 838. https://doi.org/10.3390/agriculture12060838
Baviskar, D., Ahirrao, S., Potdar, V., & Kotecha, K. (2021). Efficient automated processing of unstructured documents using artificial intelligence: A systematic literature review and future directions. IEEE Access, 9, 72894–72936. https://doi.org/10.1109/ACCESS.2021.3072900
Brown, S., Davidovic, J., & Hasan, A. (2021). The algorithm audit: Scoring the algorithms that score us. Big Data & Society, 8(1), 1–15. https://doi.org/10.1177/2053951720983865
Bühler, M. M., Jelinek, T., & Nübel, K. (2022). Training and preparing tomorrow's workforce for the fourth industrial revolution. Education Sciences, 12(11), 782. https://doi.org/10.3390/educsci12110782
Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y. J., & Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business Horizons, 63(2), 227–243. https://doi.org/10.1016/j.bushor.2019.12.002
Danish, M. S. S., & Senjyu, T. (2023). Shaping the future of sustainable energy through AI-enabled circular economy policies. Circular Economy, 2(2), 100040. https://doi.org/10.1016/j.cec.2023.100040
de Bruijn, H., Warnier, M., & Janssen, M. (2022). The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making. Government Information Quarterly, 39(2), 101666. https://doi.org/10.1016/j.giq.2021.101666
Dhirani, L. L., Mukhtiar, N., Chowdhry, B. S., & Newe, T. (2023). Ethical dilemmas and privacy issues in emerging technologies: A review. Sensors, 23(3), 1151. https://doi.org/10.3390/s23031151
Dmytrenko, A., & Anastasiia, L. (2024). Ways to improve accounting, auditing and taxation of business entities in the context of implementing European management practices and introducing artificial intelligence into accounting. Economy and Region, 1(92), 227–231. https://doi.org/10.26906/EiR.2024.1(92).3333
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., & Galanos, V. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., Reifsnider, K., & Reifsnider, E. (2021). Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties: A review. Smart Materials and Structures, 30(8), 083001. https://doi.org/10.1088/1361-665X/ac099f
Faulconbridge, J., Sarwar, A., & Spring, M. (2023). How professionals adapt to artificial intelligence: The role of intertwined boundary work. Journal of Management Studies. Advance online publication. https://doi.org/10.1111/joms.12936
Gachie, W. (2020). Higher education institutions, private sector and government collaboration for innovation within the framework of the Triple Helix Model. African Journal of Science, Technology, Innovation and Development, 12(2), 203–215. https://doi.org/10.1080/20421338.2019.1631120
Gkikas, D. C., & Theodoridis, P. K. (2022). AI in consumer behavior. In Advances in Artificial Intelligence-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis (Vol. 1, pp. 147–176). Springer. https://doi.org/10.1007/978-3-030-80571-5_10
Gonçalves, M. J. A., da Silva, A. C. F., & Ferreira, C. G. (2022). The future of accounting: How will digital transformation impact the sector? Informatics, 9(1), 19. https://doi.org/10.3390/informatics9010019
Goto, M. (2022). Accepting the future as ever-changing: Professionals’ sensemaking about artificial intelligence. Journal of Professions and Organization, 9(1), 77–99. https://doi.org/10.1093/jpo/joab022
Haricha, K., Khiat, A., Issaoui, Y., Bahnasse, A., & Ouajji, H. (2023). Recent technological progress to empower smart manufacturing: Review and potential guidelines. IEEE Access, 11, 21613–21634. https://doi.org/10.1109/ACCESS.2023.3246029
Hasan, A. R. (2022). Artificial intelligence (AI) in accounting and auditing: A literature review. Open Journal of Business and Management, 10(1), 440–465. https://doi.org/10.4236/ojbm.2022.101026
Hashem, F., & Alqatamin, R. (2021). Role of artificial intelligence in enhancing efficiency of accounting information system and non-financial performance of the manufacturing companies. International Business Research, 14(12), 65–76. https://doi.org/10.5539/ibr.v14n12p65
Kaggwa, S., Eleogu, T. F., Okonkwo, F., Farayola, O. A., Uwaoma, P. U., & Akinoso, A. (2024). AI in decision making: Transforming business strategies. International Journal of Research and Scientific Innovation, 10(12), 423–444. https://doi.org/10.51244/ijrsi.2023.1012032
Kokina, J., Gilleran, R., Blanchette, S., & Stoddard, D. (2021). Accountant as digital innovator: Roles and competencies in the age of automation. Accounting Horizons, 35(1), 153–184. https://doi.org/10.2308/HORIZONS-19-145
Korhonen, T., Selos, E., Laine, T., & Suomala, P. (2021). Exploring the programmability of management accounting work for increasing automation: An interventionist case study. Accounting, Auditing & Accountability Journal, 34(2), 253–280. https://doi.org/10.1108/AAAJ-12-2016-2809
Mondal, R. S., Akter, L., & Bhuiyan, M. N. A. (2025). Integrating AI and ML techniques in modern microbiology. Applied IT & Engineering, 3(1), 1–10. https://doi.org/10.25163/engineering.3110323
Mondal, R. S., Bhuiyan, M. N. A., & Akter, L. (2025). AI-driven innovations in cancer research and personalized healthcare. Integrative Biomedical Research (Journal of Angiotherapy), 9(1), 1–10. https://doi.org/10.25163/angiotherapy.9110321
Munoko, I., Brown-Liburd, H. L., & Vasarhelyi, M. (2020). The ethical implications of using artificial intelligence in auditing. Journal of Business Ethics, 167(2), 209–234. https://doi.org/10.1007/s10551-019-04407-1
Murdoch, B. (2021). Privacy and artificial intelligence: Challenges for protecting health information in a new era. BMC Medical Ethics, 22(1), Article 122. https://doi.org/10.1186/s12910-021-00687-3
Narang, S. R., Jindal, M. K., & Kumar, M. (2020). Ancient text recognition: A review. Artificial Intelligence Review, 53(8), 5517–5558. https://doi.org/10.1007/s10462-020-09827-4
Nedungadi, P., Ramesh, M., Govindaraju, V., Rao, B., Berbeglia, P., & Raman, R. (2024). Emerging leaders or persistent gaps? Generative AI research may foster women in STEM. International Journal of Information Management, 77, Article 102785. https://doi.org/10.1016/j.ijinfomgt.2024.102785
Nielsen, S. (2022). Management accounting and the concepts of exploratory data analysis and unsupervised machine learning: A literature study and future directions. Journal of Accounting & Organizational Change, 18(5), 811–853. https://doi.org/10.1108/JAOC-08-2020-0107