Auditors’ Willingness to Learn and Apply Artificial Intelligence Technology in the Auditing Process

Ehsan Saadati; Hamideh  Feyzi; Fatemeh  Kouhkan; Zahra  Kalateh; Mohammadhadi  Gholhaki

Authors

Ehsan Saadati PhD in Accounting, Department of Accounting, Dam.C., Islamic Azad University, Damavand, Iran. Author https://orcid.org/0009-0005-3254-7902
Hamideh Feyzi Ph.D. Graduate in Accounting, Dam.C., Islamic Azad University, Damavand, Iran Author https://orcid.org/0000-0002-9010-3948
Fatemeh Kouhkan Master’s Degree Student in Small Business Management in International Markets Università degli Studi di Ferrara, Italy. Author https://orcid.org/0009-0003-4024-1108
Zahra Kalateh Master’s Degree Student in Small Business Management in International Markets Università degli Studi di Ferrara, Italy. Author https://orcid.org/0009-0000-9697-0375
Mohammadhadi Gholhaki Master’s Degree Student in Small Business Management in International Markets Università degli Studi di Ferrara, Italy. Author https://orcid.org/0009-0006-5701-101X

Keywords:

artificial intelligence, auditing process, willingness to learn technology, performance expectancy, social influence

Abstract

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References

[1] U. Yadav and U. Shrawankar, "Artificial Intelligence Across Industries: A Comprehensive Review with a Focus on Education," in AI Applications and Strategies in Teacher Education, 2025, pp. 275-320.

[2] A. K. Singh, M. K. Kiriti, H. Singh, and A. Shrivastava, "Education AI: Exploring the Impact of Artificial Intelligence on Education in the Digital Age," International Journal of System Assurance Engineering and Management, vol. 16, no. 4, pp. 1424-1437, 2025, doi: 10.1007/s13198-025-02755-y.

[3] A. A. H. Abdullah and F. A. Almaqtari, "The Impact of Artificial Intelligence and Industry 4.0 on Transforming Accounting and Auditing Practices," Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, p. 100218, 2024, doi: 10.1016/j.joitmc.2024.100218.

[4] A. Mohanty, B. Keswani, S. K. Mohanty, A. G. Mohapatra, S. Nayak, and M. M. Akhtar, "Synergizing Knowledge Management in the Era of Industry 4.0: A Technological Revolution for Organizational Excellence," in Knowledge Management and Industry Revolution 4.0, 2024, pp. 39-85.

[5] S. Li, L. Gao, C. Han, B. Gupta, W. Alhalabi, and S. Almakdi, "Exploring the Effect of Digital Transformation on Firms' Innovation Performance," Journal of Innovation & Knowledge, vol. 8, no. 1, p. 100317, 2023, doi: 10.1016/j.jik.2023.100317.

[6] A. Fedyk, T. Fedyk, J. Hodson, and N. V. Khimich, "Is Artificial Intelligence Improving the Audit Process?," Review of Accounting Studies, vol. 27, pp. 938-985, 2022, doi: 10.1007/s11142-022-09697-x.

[7] V. Vidya, "Impact of Artificial Intelligence in Auditing," International Journal of Research Publication and Reviews, 2024, doi: 10.55248/gengpi.5.0524.1219.

[8] K. Hocine and M. Soumia, "Artificial Intelligence in Accounting and Auditing: A Paradigm Shift Toward Smart Data and Continuous Auditing," The Sankalpa: International Journal of Management Decisions, vol. 12, no. 1, pp. 1146-1160, 2026.

[9] A. M. Abdo-Salloum and S. Chehade, "The Role of Artificial Intelligence in Transforming Accounting and Auditing Practices: A Systematic Review," SAGE Open, vol. 16, no. 1, p. 21582440251403296, 2026, doi: 10.1177/21582440251403296.

[10] J. R. T. Wijaya, I. Prasetyo, D. N. Rahmatika, and D. Indriasih, "Artificial Intelligence and Audit Quality: An Empirical Literature Review from Scopus Database," Fokus Ekonomi: Jurnal Ilmiah Ekonomi, vol. 20, no. 1, pp. 61-76, 2025, doi: 10.34152/fe.20.1.61-76.

[11] F. Khan, S. Ullah Jan, and H. M. Zia-ul-Haq, "Artificial Intelligence Adoption, Audit Quality and Integrated Financial Reporting in GCC Markets," Asian Review of Accounting, vol. 33, no. 3, pp. 464-495, 2025, doi: 10.1108/ARA-03-2024-0085.

[12] Y. Ulugbek, "The Role of Artificial Intelligence in Auditing Public Sector Companies," Asia Pacific Journal of Marketing & Management Review, vol. 14, no. 06, pp. 10-21, 2025.

[13] T. F. Sitanala and A. A. Batkunde, "Artificial Intelligence in Public Sector Auditing: Opportunities, Risks, and Ethical Considerations," International Journal of Economic Literature, vol. 3, no. 1, pp. 45-61, 2025.

[14] J. Kokina, S. Blanchette, T. H. Davenport, and D. Pachamanova, "Challenges and Opportunities for Artificial Intelligence in Auditing: Evidence from the Field," International Journal of Accounting Information Systems, vol. 56, p. 100734, 2025, doi: 10.1016/j.accinf.2025.100734.

[15] J. H. Choi and C. Xie, "Human + AI in Accounting: Early Evidence from the Field," 2025. [Online]. Available: https://doi.org/10.2139/ssrn.5240924

[16] R. Samiolo, C. Spence, and D. Toh, "Auditor Judgment in the Fourth Industrial Revolution," Contemporary Accounting Research, 2023, doi: 10.1111/1911-3846.12901.

[17] O. M. Lehner, K. Ittonen, H. Silvola, E. Ström, and A. Wührleitner, "Artificial Intelligence-Based Decision-Making in Accounting and Auditing: Ethical Challenges and Normative Thinking," Accounting, Auditing & Accountability Journal, vol. 35, no. 9, pp. 109-135, 2022, doi: 10.1108/AAAJ-09-2020-4934.

[18] A. Almgrashi, A. Mujalli, T. Khan, and O. Attia, "Factors Determining Internal Auditors' Behavioral Intention to Use Computer-Assisted Auditing Techniques: An Extension of the UTAUT Model and an Empirical Study," Future Business Journal, vol. 9, no. 1, p. 74, 2023, doi: 10.1186/s43093-023-00231-2.

[19] A. I. Septari, A. Hizazi, I. Wahyudi, and Y. Yuliusman, "Factors Influencing Auditors' Interest in Using Computer-Assisted Audit Techniques (CAATs): A UTAUT Approach," Jurnal Akuntansi & Keuangan Unja, vol. 10, no. 02, pp. 233-244, 2025.

[20] M. Alshrouf, A. A. Alkhatib, A. D. Bashatweh, F. M. Abuamria, and S. Irziqat, "Factors Affecting the Adoption of Artificial Intelligence in Auditing Based on the UTAUT Model, IT Infrastructure as a Moderating Variable," in Achieving Sustainable Business Through AI, Technology Education and Computer Science: Volume 3: Springer Nature Switzerland, 2024, pp. 159-171.

[21] B. L. Handoko, D. S. Indrawati, and S. R. P. Zulkarnaen, "Embracing AI in Auditing: An Examination of Auditor Readiness Through the TRAM Framework," International Journal of Computational Methods and Experimental Measurements, vol. 12, no. 1, pp. 53-60, 2024, doi: 10.18280/ijcmem.120106.

[22] H. Al-Mawalia, Y. Allozia, A. Nawaiseha, H. Zaidana, A. R. A. Natour, and M. Alshurideh, "AI-Based Audit Acceptance and Auditors' Technology Readiness," International Journal of Data and Network Science, vol. 9, no. 3, pp. 525-540, 2025, doi: 10.5267/j.ijdns.2024.8.013.

[23] X. Chen, "Level of Acceptance and Behavioral Intention on the Use of Artificial Intelligence in Internal Audit Procedure," International Journal of Global Economics and Management, vol. 7, no. 3, pp. 287-292, 2025, doi: 10.62051/ijgem.v7n3.32.

[24] E. M. Mansour, L. Al-Zyod, E. E. Ghassab, and M. Alaqrabawi, "Auditor's Willingness to Learn and Its Effect on the Intention to Use AI Technologies in the Audit Process: Evidence from Emerging Economies," Journal of Financial Reporting and Accounting, vol. 23, no. 4, pp. 1553-1586, 2025, doi: 10.1108/JFRA-08-2024-0508.

[25] Y. R. O. Hutapea, H. Purba, and M. Susanti, "The Impact of Unified Theory of Acceptance and Use of Technology and Social Cognitive Theory on Accounting Students' Intentions to Learn Audit Software," The Contrarian: Finance, Accounting, and Business Research, vol. 5, no. 1, pp. 38-50, 2026, doi: 10.58784/cfabr.448.

[26] W. Wu, B. Zhang, S. Li, and H. Liu, "Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory," Frontiers in Psychology, vol. 13, p. 870777, 2022, doi: 10.3389/fpsyg.2022.870777.

[27] J. Goto and U. Ramnarain, "Does Culture Matter in AI Adoption? A Predictive Analysis of Cultural Dimensions, Social Influence, and Personal Innovativeness in the Modified UTAUT Model," International Journal of Educational Technology in Higher Education, vol. 23, no. 1, p. 1, 2026, doi: 10.1186/s41239-026-00588-8.

[28] F. A. Almaqtari, N. H. Farhan, H. M. Al-Hattami, T. Elsheikh, and B. O. A. Al-dalaien, "The Impact of Artificial Intelligence on Information Audit Usage: Evidence from Developing Countries," Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 2, p. 100298, 2024, doi: 10.1016/j.joitmc.2024.100298.

[29] A. Salihu and H. Hoti, "Managers' Perception on the IT Audit Recommendations: The Effect of Risk Significance, Ease of Implementation and Added Value on Implementation of Recommendations," Journal of ICT Standardization, vol. 10, no. 2, pp. 105-124, 2022, doi: 10.13052/jicts2245-800X.1021.

[30] E. Saadati, Z. Ansari, A. Farahmandnia, and K. Asadi Mehr, "A Strategy-Oriented Approach to the Application of Artificial Intelligence Technology in Accounting: With Reference to Auditing and Management Accounting Specializations," Strategic Management Accounting Quarterly, vol. 2, no. 2, pp. 1-20, 2025.

[31] A. N. Sinha, V. Srivastava, and K. Sinha, "Quality Assurance in Marketing Data: Ensuring Accuracy and Reliability," 2025.

[32] A. Ahmi and L. Smidt, "AI-Driven Auditing: Trends, Themes, and Research Trajectories," EDPACS, pp. 1-20, 2026, doi: 10.1080/07366981.2026.2637772.

[33] T. C. Stratopoulos and V. X. Wang, "Artificial Intelligence and Accounting Research: A Framework and Agenda," International Journal of Accounting Information Systems, vol. 56, p. 100760, 2025, doi: 10.1016/j.accinf.2025.100760.