Evaluating the Impact of Internal Audit Model Categories through Novel Technologies at Islamic Azad University

Authors

    Seyed Abdolhamid   Cheragei Department of Accounting, Ahv.C., Islamic Azad University, Ahvaz, Iran.
    Allahkaram Salehi * Department of Accounting, MaS.C., Islamic Azad University, Masjed Soleiman, Iran. A.K.Salehi@iau.ac.ir
    Alireza Jarjarzadeh Department of Accounting, Ahv.C., Islamic Azad University, Ahvaz, Iran.
    Saeed Nasiri Department of Accounting, Ahv.C., Islamic Azad University, Ahvaz, Iran.

Keywords:

 Islamic Azad University, Internal audit, Novel technologies

Abstract

The objective of this study is to evaluate the impact of internal audit model categories through novel technologies at Islamic Azad University. This applied and descriptive–survey study targeted all internal auditors, and a sample of 384 participants was selected using Cochran’s formula. Data were collected through a questionnaire developed based on the components of the grounded theory paradigm model. Structural equation modeling using the partial least squares (PLS) approach in SmartPLS software was employed for data analysis. Construct validity was assessed through confirmatory factor analysis and AVE indices, and reliability was confirmed via Cronbach’s alpha. KMO and Bartlett’s tests indicated adequate sampling and suitability of factor analysis. The results demonstrated that the causal, contextual, and intervening conditions had significant effects on the core category, namely “internal auditing using novel technologies.” The core category showed significant positive effects on strategies, and the strategies mediated the relationships between the core category and consequences. Most pathways exhibited factor loadings above 0.40 and t-values exceeding 1.96, confirming model fitness and hypothesis support. Key findings include the positive effect of improved internal audit quality on financial transparency (β=0.467, t=8.437), the significant effect of stakeholder accountability on rapid and reliable reporting (β=0.444, t=5.950), and the influence of internal control agility on continuous auditing (β=0.370, t=5.928). The findings reveal that the categories of the internal audit model utilizing novel technologies significantly contribute to enhancing internal audit performance, improving financial transparency, increasing efficiency, and strengthening internal control processes at Islamic Azad University. Novel technologies provide an essential infrastructure for modernizing internal auditing and aligning it with contemporary audit requirements.

Downloads

Download data is not yet available.

References

Abdoli Abatari, Z., Kamali, E., Rostami, A., & Aghaei Chadegani, A. (2024). Foresight of Auditing from the Perspective of Information Technology, Changing Auditor-Client Relationship, and Changing the Concept of Auditing. Professional Auditing Research, 4(16), 66-91.

Afsay, A. (2024). Meta-Synthesis of Factors Affecting Technology Adoption in Auditing. Professional Auditing Research, 4(16), 8-37.

Afsay, A., Tahriri, A., & Rezaee, Z. (2023, 13-16 June 2018). A meta- analysis of factors affecting acceptance of information systems and Technologies (CISTI).

Al Yasin, S. S., & Pourzamani, Z. (2022). Developing a Blockchain Technology Adoption Model in the Context of Management Accounting Concepts. Financial Economics, 16(61), 69-102.

Babayeva, A., & Manousaridis, N. D. (2020). The Effects of Digitalization on Auditing - A Study Investigating the Benefits and Challenges of Digitalization on the Audit Profession.

Cheraghi, S. A., Salehi, A., Jorjarzadeh, A., & Nasiri, S. (2024). Designing an Internal Audit Model Through New Technologies in Islamic Azad University. Capital Market Analysis, 3(1), 56-85.

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.

Hatami, Z., Shahrestani, S., & Mir Hosseini, M. (2024). Investigating the Mediating Role of Information Technology on the Relationship Between Professionalism and Competency with Auditors' Performance. Accounting and Management Perspective, 7(95), 1-19.

Hemmati, M., Moradi, Z., Yazdani, S., & Khan Mohammadi, M. H. (2022). Identifying and Prioritizing the Obstacles and Necessities of Employing Blockchain Technology in Auditing with a Fuzzy Delphi Approach. Knowledge of Accounting and Management Auditing, 11(44), 261-279.

Khajavi, S., & Etemadi Jouryabi, M. (2022). Auditing in the Age of Virtual Technologies. Certified Public Accountant (Hesabdar Rasmi)(56), 40-46.

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

Koreff, J. (2021). Are auditors' reliance on conclusions from data analytics impacted by different data analytic inputs? Journal of Information Systems, 36(1), 19-37. https://doi.org/10.2308/ISYS-19-051

Kozlowski, S. (2018). An Audit Ecosystem to Support Blockchain - based Accounting and Assurance Continuous Auditing. https://doi.org/10.1108/978-1-78743-413-420181015

Krieger, F., Drews, F., & Velte, P. (2021). Explaining the (non-) Adoption of Advanced data Analytics in Auditing: A Process theory. International Journal of Accounting Information Systems, 41. https://doi.org/10.1016/j.accinf.2021.100511

Pedrosa, I., Costa, C. J., & Aparicio, M. (2020). Determinants Adoption of Cognition, Technology and Work.

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.

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

Yousefzadeh, S., Rahnama Roudposhti, F., Badiei, H., & Gholamzadeh Ladari, M. (2024). Presenting a Model for Analyzing the Application of Blockchain on Company Performance from the Perspective of Internal Control. Knowledge of Accounting and Management Auditing, 3(51), 269-280.

Zare, H., Hajjiha, Z., & Qeighobadi, A. (2024). Investigating the Impact of Using Artificial Intelligence in Auditing on the Financial Statement Audit Quality Process. Professional Auditing Research, 4(16), 38-65.

Downloads

Published

2027-02-20

Submitted

2025-08-07

Revised

2025-11-24

Accepted

2025-12-01

Issue

Section

Articles

How to Cite

Cheragei,S.A. , Salehi, . A. ., Jarjarzadeh, . . . . . . A., & Nasiri, . . S. . (1405). Evaluating the Impact of Internal Audit Model Categories through Novel Technologies at Islamic Azad University. Accounting, Finance and Computational Intelligence, 1-16. https://jafci.com/index.php/jafci/article/view/285

Similar Articles

1-10 of 269

You may also start an advanced similarity search for this article.