Grounded Theory Explanation of an Integrated Audit Model Based on Emerging Technologies with Emphasis on Artificial Intelligence and Network Analysis in Financial Transparency and Economic Corruption Control
Keywords:
Auditing, Financial Transparency, Economic Corruption, Governance, Audit Quality, Emerging Auditing TechnologiesAbstract
This study aims to develop and explain an integrated audit model based on emerging technologies, emphasizing artificial intelligence and network analysis, to enhance financial transparency and control economic corruption. This research is applied in purpose and qualitative in nature, adopting an exploratory approach based on grounded theory methodology. Data were collected through semi-structured interviews with auditing experts, university professors, and financial specialists. Purposive sampling was employed until theoretical saturation was reached. Data analysis was conducted using three-stage coding (open, axial, and selective), and qualitative validity criteria were applied to ensure rigor. The findings indicate that auditing operates through three main dimensions: emerging technologies, auditing tools and standards, and auditors’ professional characteristics. These dimensions influence financial transparency and the reduction of economic corruption through the central variable of “audit quality and effectiveness.” Moreover, transparency functions as a mediating variable that transmits the effects of audit quality to corruption reduction. The systematic interaction among these dimensions leads to improved financial oversight and reduced corruption. The results suggest that effective corruption control requires an integrated approach in which emerging technologies, professional standards, and auditors’ individual competencies are simultaneously strengthened, thereby enhancing audit quality, increasing financial transparency, and ultimately reducing economic corruption.
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Abdi Baraftabi, A., Samadi, F., Shahverdiani, S., & Hajiha, Z. (2025). The role of internal audit cycle based on machine learning techniques and artificial intelligence and its effects on improving audit processes. Management Accounting and Auditing Knowledge, 16(62), 443-457. https://doi.org/10.22034/jmaak.2025.78407.4530
Abu-Khadra, H., Al-Okaily, M., & Al-Bashir, A. (2025). Auditing in the Digital Age: The Role of Artificial Intelligence in Fraud Detection. Journal of Emerging Technologies in Accounting, 22(1), 45-67. https://doi.org/10.1108/ITSE-03-2025-0071
Al-Omush, A., Almasarwah, A., & Al-Wreikat, A. (2025). Artificial intelligence in financial auditing: redefining accuracy and transparency in assurance services. EDPACS, 1-20. https://doi.org/10.1080/07366981.2025.2459490
Armon Manesh, Z., & Pourkhorshid, H. (2025). The impact of using artificial intelligence in auditing on financial reporting quality with the moderating role of auditor experience. Accounting, Finance and Computational Intelligence, 3(3), 1-15.
Cao, T., Zhao, J., Wang, R., He, X., & Sun, P. (2025). Research on the Application and Efficiency Improvement of Artificial Intelligence in Financial Accounting and Auditing. Journal of Computational Methods in Sciences and Engineering. https://doi.org/10.1177/14727978241299644
Farhadi Touski, O., & Doustian, R. (2025). Developing New Technologies in Internal Auditing with the Help of Artificial Intelligence: Deep Learning Enables Anomaly Detection in Financial Accounting Data. Investment Knowledge, 14(55), 597-612.
Gökoğlan, K., Sevim, H., & Kılıç, S. (2025). Digital Transformation and Artificial Intelligence-Assisted Auditing: The Role of Technology in Internal Audit Processes in 2025. Dynamics in Social Sciences and Humanities, 6(1), 25-33. https://doi.org/10.62425/dssh.1647929
Hashemi Jouybari, S. R., Hosseini, S. M., & Abedi, H. (2025). An Integrated Framework of Artificial Intelligence and Blockchain for Enhancing Transparency and Efficiency in Financial Reporting and Auditing of Islamic Banks in the Digital Economy Context.
Khaleghizadeh Dehkordi, M., Sarraf, F., & Najafi Moqaddam, A. (2025). The Role of Performance Metrics in Explaining Investment Efficiency with Emphasis on Artificial Intelligence Method. Accounting and Management Auditing Knowledge, 13(51), 151-168.
Khan, M. I., Rahim, A., & Ullah, S. (2025). The Use of Artificial Intelligence in Accounting Auditing: Challenges and Opportunities. Journal of Accounting and Finance, 25(1), 78-95.
Kokina, J., Blanchette, S., Davenport, T. H., & Pachamanova, D. (2025). Challenges and opportunities for artificial intelligence in auditing: Evidence from the field. Int. J. Account. Inf. Syst., 56, 100734. https://doi.org/10.1016/j.accinf.2025.100734
Moshayekhi, B., & Amirollah, M. R. (2025). The Impact of Knowledge and Professional Skepticism of Internal Auditors on the Adoption of Artificial Intelligence. Experimental Accounting Research, 15(2), 1-28. https://doi.org/10.22051/jera.2025.50268.3523
Rahmani, A., Manavi, S., & Haddadi, N. (2025). Integrating artificial intelligence in auditing; challenges and benefits. Systems and Information Technology Auditing, 1(1), 1-27. https://doi.org/10.22034/jista.2025.528769.1051
Saadati, E., Ansari, Z., Farahmandnia, A., & Asadi Mehr, K. (2025). A strategy-oriented approach to the application of artificial intelligence technology in accounting: With reference to auditing and management accounting trends. Strategic Management Accounting Quarterly, 2(2), 1-20.
Secinaro, S., Calandra, D., Lanzalonga, F., & Biancone, P. (2024). The role of artificial intelligence in management accounting: An exploratory case study. In Digital transformation in accounting and auditing (pp. 207-236). Springer.
Shahbazbeigi, A. (2024). Application of Artificial Intelligence and Machine Learning in Accounting and Auditing. Transactions on Data Analysis in Social Science, 6(2), 21-30.
Silva, R., Costa, P., & Oliveira, L. (2025). The Auditing Profession and Artificial Intelligence: A Focus on Human Judgment and Accountability. Journal of Business Ethics, 186, 345-367.
Thottoli, M. M. (2024). Leveraging Information Communication Technology (ICT) and Artificial Intelligence (AI) to Enhance Auditing Practices. Accounting Research Journal, 37(2), 134-150. https://doi.org/10.1108/arj-09-2023-0269
Torroba, M., Sánchez, J. R., López, L., & Callejón, Á. (2025). Investigating the impacting factors for the audit professionals to adopt data analysis and artificial intelligence: Empirical evidence for Spain. Int. J. Account. Inf. Syst., 56, 100738. https://doi.org/10.1016/j.accinf.2025.100738
Yadegarjamshidi, B., & Sharghi, Z. (2024). The Role of Artificial Intelligence in the Quality of Online Banking Services The First Regional Congress on Current Topics in Intelligent Accounting, Auditing, Financial, and Tax Systems (Challenges and Opportunities), Tabriz. https://en.civilica.com/doc/2182339/ https://en.civilica.com/doc/2182339/
Zaky, A. M. A. F., & Widuri, R. (2025). How Does Risks And Ethical Issues Impact The Adoption Of Artificial Intelligence In Auditing? Journal of Theoretical and Applied Information Technology, 103(5), 1877-1890. https://jatit.org/volumes/Vol103No5/18Vol103No5.pdf
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Copyright (c) 2025 Bahareh Barahooey Pirnia (Author); Reza Sotudeh (Corresponding author); Alireza Hirad, Habib Piri (Author)

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