A Systematic Literature Review on Ethics and Artificial Intelligence in the World of Business and Accounting (2024-2025)
DOI:
https://doi.org/10.54259/akua.v5i1.6006Keywords:
Artificial Intelligence, Business Ethics, Technology Readiness, Accounting, Systematic Literature ReviewAbstract
The development of Artificial Intelligence (AI) has brought fundamental transformations to business and accounting practices, improving work efficiency, analytical accuracy, and organizational governance. However, these advancements also raise critical questions regarding ethics, professional responsibility, and human resource readiness. This study aims to conduct a Systematic Literature Review (SLR) of recent literature concerning the relationship between ethics, technology readiness, and AI implementation in business and accounting contexts. The review maps empirical and conceptual studies from 2024-2025, including research conducted in Vietnam, Lebanon, and Indonesia. The findings reveal that AI adoption success is influenced by technology readiness, perceived usefulness, and ease of use, yet it also heavily depends on ethical culture and organizational governance. Previous studies tend to overlook the role of moral factors, data transparency, and ethical oversight in AI implementation. Therefore, this study emphasizes the need for integration between digital ethics and technology readiness as a foundation for sustainable AI development in business and accounting.
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References
Altawalbeh, M., Al Rawashdeh, A., & Al-Hosban, A. (2024). Ethics in the age of artificial intelligence: Unveiling challenges and opportunities in business culture. Journal of Business Ethics, 189(2), 335–352.
Bhimani, A., & Willcocks, L. (2022). Digital accounting and artificial intelligence: Opportunities, threats, and the human factor. Accounting, Auditing & Accountability Journal, 35(4), 1012–1035.
Crane, A., & Matten, D. (2019). Business ethics: Managing corporate citizenship and sustainability in the age of globalization (5th ed.). Oxford University Press.
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1), 1–15.
Hadi, A. (2022). Etika digital dan tata kelola kecerdasan buatan di Indonesia. Jurnal Ekonomi dan Bisnis Digital, 4(3), 125–139.
Hamza, M., Mouhtat, I., Kerfal, W., & Melliani, H. (2024). Recruitment in the Era of Web 4.0: What Place for Artificial Intelligence? Qubahan Academic Journal, 4(2), 233–248.
IFAC. (2023). Code of Ethics for Professional Accountants. International Federation of Accountants.
Ilugbusi, B. S., & Kumar, N. (2025). Analysis of Disruptive Business Models Leveraging Artificial Intelligence. International Journal of Accounting and Economics Studies, 13(1), 20–34.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
Kamilah, K., & Nasution, Y. S. J. (2024). The Optimization of Digitalization in Facing Globalization Challenges. Qubahan Academic Journal, 4(2), 132–147.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Keele University.
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.
Lutfi, A. (2022). Factors Influencing the Continuance Intention of Artificial Intelligence in Accounting. Economies, 10(4), 75–91.
Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501–507.
Rahman, M., Islam, T., & Dey, B. (2021). Artificial intelligence in accounting and business decision-making: Ethical dilemmas and challenges. Journal of Accounting and Business Research, 18(2), 201–217.
Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.
Tiitola, V., Jalonen, T., & Rantanen, M. (2025). Discourse Analysis on Sustaining the Maieutic Role of Management through AI. Qualitative Research in Accounting & Management, 22(1), 14–33.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence‐informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222.
Vasarhelyi, M., Kogan, A., & Tuttle, B. (2021). AI in auditing: Transformations and ethical concerns. International Journal of Accounting Information Systems, 42, 100527.
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Copyright (c) 2025 Susan Cornelya Hermina, Sambas Ade Kesuma, Fahmi Natigor Nasution, Keulana Erwin
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