Professional Meaning and Ethical Adaptation of Accountants in AI-Driven Accounting Systems

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Anisa Ramadani
Abidah Lubis

Abstract

The integration of artificial intelligence (AI) into financial management and accounting practices has transformed the professional landscape, reshaping how accountants engage with technology, ethics, and professional judgment. Within this evolving digital ecosystem, understanding the subjective experiences of accountants adapting to AI-based systems has become an important yet underexplored area in accounting research. However, existing studies primarily emphasize system efficiency and adoption behavior, leaving unclear how professionals experience and interpret this technological transformation in their daily practice. Therefore, this study explicitly aims to examine how accountants make sense of AI integration, how they respond to emerging ethical complexities, and how these experiences influence their professional identity. This study employs an interpretative phenomenological approach (IPA) to explore how accountants construct meaning, navigate ethical challenges, and reconstruct professional identity in response to AI integration. Data were collected through in-depth semi-structured interviews with twelve accountants across public and private sectors who had direct experience with digital accounting technologies. The analysis revealed four major themes: emotional adaptation and professional displacement, redefinition of identity in digital contexts, ethical awareness in human–AI interaction, and cognitive transformation through learning resilience. These findings highlight that the adaptation process extends beyond technical competence it is an emotional, moral, and existential negotiation within the self. The study concludes that digital transformation in accounting should be understood as a human-centered experience that intertwines emotion, ethics, and cognition. The results provide theoretical and practical insights into how professionals sustain meaning and ethical integrity amid automation, offering a foundation for future cross-cultural and longitudinal research on human experience in digitally augmented accounting environments.

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References

Aldighrir, W. M., & Asiri, F. M. (2025). Assessing Educational Leaders’ Perceptions of Virtual Intercultural Interactions in Digital Learning Environments: Development, Network Analysis and Validation of the Virtual Intercultural Interactions Scale Through a Technology-Driven Approach. Journal of Computer Assisted Learning, 41(5). Scopus. https://doi.org/10.1111/jcal.70124

Almarzouki, A. F., Alem, A., Shrourou, F., Kaki, S., Khushi, M., Mutawakkil, A., Bamabad, M., Fakharani, N., Alshehri, M., & Binibrahim, M. (2025). Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia. BMC Medical Education, 25(1). Scopus. https://doi.org/10.1186/s12909-024-06446-3

AlZaabi, A., & Masters, K. (2025). Assessing medical students’ readiness for artificial intelligence after pre-clinical training. BMC Medical Education, 25(1). Scopus. https://doi.org/10.1186/s12909-025-07008-x

Carreiras, H., & Castro, C. (2012). Qualitative methods in military studies: Research experiences and challenges (p. 194). Taylor and Francis; Scopus. https://doi.org/10.4324/9780203099223

Chan, C. K. Y., & Wong, H. Y. H. (2025). Assessing the ability of generative AI in English literary analysis through Bloom’s Taxonomy. Discover Computing, 28(1). Scopus. https://doi.org/10.1007/s10791-025-09572-8

Daly, K. J. (2007). Qualitative methods for family studies & human development (p. 293). SAGE Publications Inc.; Scopus. https://doi.org/10.4135/9781452224800

Fife, W. (2020). Counting as a Qualitative Method: Grappling with the Reliability Issue in Ethnographic Research (p. 140). Springer International Publishing; Scopus. https://doi.org/10.1007/978-3-030-34803-8

Hao, X., Demir, E., & Eyers, D. (2025). Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration. Sustainable Futures, 10. Scopus. https://doi.org/10.1016/j.sftr.2025.101152

Hillman, W., & Radel, K. (2018). Qualitative methods in tourism research: Theory and practice (p. 294). Channel View Publications; Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050434848&partnerID=40&md5=7ea1e3f0b2027993b53f6a795804ee51

Huang, D., Markovitch, D. G., & Stough, R. A. (2024). Can chatbot customer service match human service agents on customer satisfaction? An investigation in the role of trust. Journal of Retailing and Consumer Services, 76. Scopus. https://doi.org/10.1016/j.jretconser.2023.103600

Iosifides, T. (2016). Qualitative Methods in Migration Studies: A Critical Realist Perspective (p. 266). Taylor and Francis; Scopus. https://doi.org/10.4324/9781315603124

Kawamura, Y. (2020). DOING RESEARCH IN FASHION AND DRESS: An Introduction to Qualitative Methods, 2nd edition (p. 166). Bloomsbury Publishing Plc.; Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188589040&partnerID=40&md5=b3db406659cd1ea5b20e05664bec39a3

Khan, A., Malik, K. M., Ryan, J., & Saravanan, M. (2023). Battling voice spoofing: A review, comparative analysis, and generalizability evaluation of state-of-the-art voice spoofing counter measures. Artificial Intelligence Review, 56, 513–566. Scopus. https://doi.org/10.1007/s10462-023-10539-8

Kim, J., & Park, N. (2020). Blockchain-based data-preserving AI learning environment model for AI cybersecurity systems in IoT service environments. Applied Sciences (Switzerland), 10(14). Scopus. https://doi.org/10.3390/app10144718

Le, H., Shen, Y., Li, Z., Xia, M., Tang, L., Li, X., Jia, J., Wang, Q., Gašević, D., & Fan, Y. (2025). Breaking human dominance: Investigating learners’ preferences for learning feedback from generative AI and human tutors. British Journal of Educational Technology, 56(5), 1758–1783. Scopus. https://doi.org/10.1111/bjet.13614

Lee, Y. J., Lee, M.-Y., Chung, J. H., Won, H.-S., & Park, B. (2025). Birth weight prediction using artificial intelligence-based placental assessment from macroscopic photo: A retrospective study. Placenta, 167, 28–34. Scopus. https://doi.org/10.1016/j.placenta.2025.04.018

Longhofer, J., Floersch, J., & Hoy, J. (2012). Qualitative Methods for Practice Research (p. 224). Oxford University Press; Scopus. https://doi.org/10.1093/acprof:oso/9780195398472.001.0001

Lutz, W., & Knox, S. (2014). Quantitative and qualitative methods in psychotherapy research (p. 448). Taylor and Francis; Scopus. https://doi.org/10.4324/9780203386071

Mazzi, F. (2024). Authorship in artificial intelligence-generated works: Exploring originality in text prompts and artificial intelligence outputs through philosophical foundations of copyright and collage protection. Journal of World Intellectual Property, 27(3), 410–427. Scopus. https://doi.org/10.1111/jwip.12310

McNabb, D. E. (2015). Research methods for political science: Quantitative and qualitative methods: Second edition (p. 426). Taylor and Francis; Scopus. https://doi.org/10.4324/9781315701141

Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9). Scopus. https://doi.org/10.3390/educsci13090856

Migdal, A. B. (2018). Qualitative Methods in Quantum Theory (p. 460). CRC Press; Scopus. https://doi.org/10.1201/9780429497940

Mukhlis, L. (2025a). A Phenomenological Study of Personal Spiritual Experiences in Navigating Religious Pluralism within Interfaith Communities. Irfana: Journal of Religious Studies, 1(6), 212–220.

Mukhlis, L. (2025b). Spiritual Grounds for Economic Growth: A Qualitative Exploration of Rural Indonesian Women’s Transformative Journeys Through Mosque-Led Empowerment Programs. Servina: Jurnal Pengabdian Kepada Masyarakat, 1(8), 289–298.

Mukhlis, L., & Abdullah, M. N. (2025). Hukum Keluarga Islam di Indonesia (1st ed.). Mukhlisina Revolution Center.

Mukhlis, L., Arifin, T., Ridwan, A. H., & Zulbaidah. (2024). Integrating Artificial Intelligenceand Maqāṣid al-Syarī‘ah: Revolutionizing Indonesia’s Sharia Online Trading System. Computer Fraud and Security, 2024(11), 301–309. https://doi.org/10.52710/cfs.238

Mukhlis, L., Arifin, T., Ridwan, A. H., & Zulbaidah. (2025). Reorientation of Sharia Stock Regulations: Integrating Taṣarrufāt al-Rasūl and Maqāṣid al-Sharī‘ah for Justice and Sustainability. Journal of Information Systems Engineering and Management, 10(10s), 58–66. https://doi.org/10.52783/jisem.v10i10s.1341

Mukhlis, L., Arifin, T., Ridwan, A. H., Zulbaidah, Rosadi, A., & Solehudin, E. (2025). Reformulation of Islamic Stock Law: The Application of Taṣarrufāt al-Rasūl and Maqāṣid al-Syarī‘ahto Develop a Dynamic and Sustainable Islamic Capital Market in Indonesia. Journal of Posthumanism, 5(3), 1–13. https://doi.org/10.63332/joph.v5i3.913

Mukhlis, L., Janwari, Y., & Syafe`i, R. (2023). INDONESIA STOCK EXCHANGE: THEORETICAL AND PHILOSOPHICAL ANALYSIS OF MUDHARABAH AND MUSYARAKAH CONTRACTS. Yurisprudentia: Jurnal Hukum Ekonomi, 9(2), 243–264. https://doi.org/10.24952/yurisprudentia.v9i2.8466

Mukhlis, L., Maryam, S., & Sormin, S. A. (2023). Model Pembelajaran Living History Berbasis PjBL Untuk Meningkatkan Keterampilan Histografi Mahasiswa. Jurnal Educatio FKIP UNMA, 9(4), 1800–1809. https://doi.org/10.31949/educatio.v9i4.5595

Mukhlis, L., & Saidah, Y. (2025). Dynamics of Nature-Based learning in Developing Children’s Motoricic Skills: Teacher and Parent Perspectives. HUMANISMA: Journal of Gender Studies, 9(1), 64–79. http://dx.doi.org/10.30983/humanisme.v4i2.9366

Mukhlis, L., Suradi, Janwari, Y., & Syafe`i, R. (2023). Sosialisasi Saham Syariah sebagai Instrumen Pengembangan Ekonomi Masyarakat di Badan Kontak Majelis Taklim (BKMT) Kabupaten Mandailing Natal. Jurnal Pengabdian Multidisiplin, 3(2), 2–9. https://doi.org/10.51214/japamul.v3i2.604

Omeish, F., Shaheen, A., Alharthi, S., & Alfaiza, A. (2025). Between human and AI influencers: Parasocial relationships, credibility, and social capital formation in a collectivist market: A study of TikTok users in the Middle East. Discover Sustainability, 6(1). Scopus. https://doi.org/10.1007/s43621-025-00891-w

Rouhi, A. D., Ghanem, Y. K., Yolchieva, L., Saleh, Z., Joshi, H., Moccia, M. C., Suarez-Pierre, A., & Han, J. J. (2024). Can Artificial Intelligence Improve the Readability of Patient Education Materials on Aortic Stenosis? A Pilot Study. Cardiology and Therapy, 13(1), 137–147. Scopus. https://doi.org/10.1007/s40119-023-00347-0

Singh, S. K., Rathore, S., & Park, J. H. (2020). BlockIoTIntelligence: A Blockchain-enabled Intelligent IoT Architecture with Artificial Intelligence. Future Generation Computer Systems, 110, 721–743. Scopus. https://doi.org/10.1016/j.future.2019.09.002

Vintilă, G., Onofrei, M., & Vintilǎ, A. I. (2025). Boosting IT companies’ performance through corporate governance standards: An empirical analysis. Oeconomia Copernicana, 16(2), 761–809. Scopus. https://doi.org/10.24136/oc.3627

Wang, X., & Zhang, Y. (2025). Can imagining the future repair trust? The impact of chatbots’ trust repair on the continuous interaction intention in service failure. Journal of Retailing and Consumer Services, 87. Scopus. https://doi.org/10.1016/j.jretconser.2025.104437

Yan, W., Nakajima, T., & Sawada, R. (2025). Beyond tool use: Tracking the evolution of generative AI literacy among university students through a process-oriented investigation. Computers and Education: Artificial Intelligence, 9. Scopus. https://doi.org/10.1016/j.caeai.2025.100465

Zhang, Y., Lai, C., & Gu, M. M. Y. (2025). Becoming a teacher in the era of AI: A multiple-case study of pre-service teachers’ investment in AI-facilitated learning-to-teach practices. System, 133. Scopus. https://doi.org/10.1016/j.system.2025.103746

Zheng, C., Chen, X., Zhang, H., & Chai, C. S. (2024). Automated versus peer assessment: Effects on learners’ English public speaking. Language Learning and Technology, 28(2), 210–228. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203685136&partnerID=40&md5=46bd9884cd33143440907719ae6d78e8