International Journal of Finance & Managerial Accounting

International Journal of Finance & Managerial Accounting

A Value Focused Cognitive Mapping of Intelligent Auditing Maturity under Industry 4.0: An ISM MICMAC Analysis in an Emerging Economy

Articles in Press

Document Type : Original Article

Authors
Abbas Dastanpour Hossein Abadi 1
Naser Izadinia 2
Amin Rostami 3
1 PhD Candidate, Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran
2 Associate Professor, Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran
3 Assistant Professor, Department of Accounting, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran
10.22034/ijfma.2026.79294.2377
Abstract
This study aims to develop a comprehensive framework for the development of intelligent auditing within the context of Industry 4.0. Given the rapid advancement of technologies such as artificial intelligence, big data analytics, blockchain, and automation, the auditing profession is undergoing fundamental transformations that traditional maturity models are unable to explain or guide effectively. In this research, using a value focused thinking approach, the core values and fundamental objectives of intelligent auditing were first identified. Subsequently, employing interpretive structural modeling (ISM) and MICMAC analysis, the causal and hierarchical relationships among the influential factors were explained. Data were collected through a systematic literature review and the judgments of 12 experts in auditing and digital transformation. The results indicate that institutional and regulatory, human and skill based, and organizational and cultural factors play a driving and foundational role, while intelligent technologies are largely dependent on the maturity of these underlying layers. The proposed framework provides an analytical roadmap for the gradual transition from traditional auditing to intelligent auditing and can serve as a basis for strategic decision making by auditing managers and professional policymakers.
Keywords
Intelligent Auditing
Industry 4.0
Maturity Model
Value‑focused Thinking
Interpretive Structural Modeling (ISM)
MICMAC Analysis
  1. Abdi baraftabi,A. , samadi,F. , shahverdiani,S. and Hajiha,Z. (2025). The role of the internal audit cycle based on learning techniques and artificial intelligence and its effects on improving audit processes. Journal of Management Accounting and Auditing Knowledge, 16(62), 443-457. doi: 10.22034/jmaak.2025.78407.4530 (in Persian)
  2. Abdoli Abatari, Z., Kamali, E., Rostami, A., & Aghaie, A. (2024). Futures study of auditing from the perspective of information technology, changing the relationship between the auditor and the client, and changing the concept of auditing. Professional Auditing Research, 4(16), 66-91. https://doi.org/10.22034/jpar.2024.2013733.1232 (in Persian)
  3. Abdoli, Z., Kamali, E., Rostami, A., & Aghaei Chadegani, A. (2023). Futurology of auditing from the information technology, regulatory, structural and procedural changes perspectives. Management Accounting, 16(58), 151-164. https://doi.org/10.30495/jma.2023.23163 (in Persian)
  4. Abreu, P. W., Aparicio, M., & Costa, C. J. (2018, June). Blockchain technology in the auditing environment. In 2018 13th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.
  5. AI Maturity Institute. (2023). Assess the true value of AI in your target acquisition. https://vaultinum.com/ai-maturity-audit.
  6. Al-Okaily, Manaf. (2024). Artificial intelligence and its applications in the context of accounting and disclosure. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/JFRA-04-2024-0209
  7. Armon Manesh, Z., & Pourkhorshid, H. (2025). The effect of artificial intelligence utilization in auditing on financial reporting quality: The moderating role of auditor experience. Accounting, Finance and Computational Intelligence, 3(3), 1-15. (in Persian)
  8. Chen, W.-S., & Du, Y.-K. (2009). Using neural networks and data mining techniques for the financial distress prediction model. Expert Systems with Applications, 36(2), 4075–4086. https://doi.org/10.1016/j.eswa.2008.03.020
  9. Elliott, M., Dawson, R., & Edwards, J. (2006). Towards real process improvement from internal auditing--a case study. Software Quality Journal, 14 (1), 53-64. https://doi.org/10.1007/S11219-006-6001-3
  10. Elmaallam, M., & Kriouile, A. (2012, October). Model ISR3M for assessing maturity of IS risk management process: Case study. In 2012 Colloquium in Information Science and Technology (pp. 16-21). IEEE.
  11. Emett, S., Eulerich, M., Lipinski, E., Prien, N., & Wood, D. A. (2025). Leveraging ChatGPT for enhancing the internal audit process—a real-world example from Uniper, a large multinational company. Accounting Horizons, 39(2), 125-135. https://doi.org/10.2308/horizons-2023-111
  12. Fülöp, M. T., Topor, D. I., Ionescu, C. A., Căpușneanu, S., Breaz, T. O., & Stanescu, S. G. (2022). Fintech accounting and Industry 4.0: Future-proofing or threats to the accounting profession? Journal of Business Economics and Management, 23(5), 997–1015. https://doi.org/10.3846/jbem.2022.17695
  13. Gonçalves, M. J. A., Ferreira da Silva, A. C., & Gonçalves Ferreira, C. (2022). The future of accounting: How will digital transformation impact the sector? Informatics, 9(1), 19. https://doi.org/10.3390/informatics9010019
  14. Guerrero, W. A., Camacho-Galindo, S., Guerrero-Martin, L. E., Arévalo, J. C., & Guerrero-Martin, C. A. (2025). Integration of AI, RPA and Big Data in strategic accounting management and consulting: perspectives and challenges. Dyna, 92(238), 26-34. https://doi.org/10.15446/dyna.v92n238.118759
  15. Hammood, M. A., Piri, P., & Ashtab, A. (2025). Feasibility of Utilizing Advanced Artificial Intelligence Technologies to Improve Auditing Processes in the Country. Accounting & Auditing Review, 32(3), 535. https://doi.org/10.22059/ACCTGREV.2025.391837.1009085 (in Persian)
  16. Hamzeh, E., & Ramesheh, M. (2023). Auditing in the digital era: Application of fuzzy Delphi and MABAC methods in Iran. Journal of Financial Accounting Research, 15(3), 75–102. https://doi.org/10.22108/far.2024.140234.2028 (in Persian)
  17. Hemati, E. (2024). The impact of blockchain and artificial intelligence on audit quality. Scientific Journal of Novel Research Approaches in Management and Accounting, 8(28), 941–960.  https://majournal.ir/index.php/ma/article/view/2529 (in Persian)
  18. Holmes, A. F., & Douglass, A. (2022). Artificial intelligence: Reshaping the accounting profession and the disruption to accounting education. Journal of Emerging Technologies in Accounting, 19(1), 53–68. https://doi.org/10.2308/JETA-2020-054
  19. Issa, H., Sun, T., & Vasarhelyi, M. A. (2016). Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation. Journal of emerging technologies in accounting, 13(2), 1-20.
  20. Jan, Z., Ahamed, F., Mayer, W., Patel, N., Grossmann, G., Stumptner, M., & Kuusk, A. (2023). Artificial intelligence for Industry 4.0: Systematic review of applications, challenges, and opportunities. Expert Systems with Applications, 216, 119456. https://doi.org/10.1016/j.eswa.2022.119456
  21. Jena, R. K. (2025). Factors influencing blockchain adoption in accounting and auditing in the face of Industry 4.0: A multi-criteria decision-making approach. Journal of Accounting & Organizational Change. https://doi.org/10.1108/JAOC-11-2023-0205
  22. Kepes, B. (2016). Big four accounting firms delve into artificial intelligence. Computerworld, 3.
  23. Khosravi, Y. , Rostami Mazouie, N. , Badie, H. and Samadi, F. (2025). Providing an AI-based audit quality model in the audit environment of Iran.. Governmental Accounting, 11(2), 197-212. doi: 10.30473/gaa.2025.74680.1809 (in Persian)
  24. 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. https://doi.org/10.2308/jeta-51730
  25. KPMG International. (2024). Global CEO Outlook 2024. KPMG. https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2023/kpmg-ai-in-audit-survey-report-october-2023.pdf
  26. Kruskopf, S. H. A. W. N. I. E., Lobbas, C. H. A. R. L. O. T. T. A., Meinander, H. A. N. N. A., Söderling, K., Martikainen, M., & Lehner, O. M. (2019). Digital accounting: Opportunities, threats and the human factor. ACRN Oxford Journal of Finance & Risk Perspectives, 8.
  27. Liu, M., Wu, K., & Xu, J. J. (2019). How will blockchain technology impact auditing and accounting: Permissionless versus permissioned blockchain. Current Issues in Auditing, 13(2), A19–A29. https://doi.org/10.2308/ciia-52540
  28. Manita, R., Elommal, N., Baudier, P., & Hikkerova, L. (2020). The digital transformation of external audit and its impact on corporate governance. Technological Forecasting and Social Change, 150, 119751. 10.1016/j.techfore.2019.119751
  29. Mansouri, M. J., Karmi, G., & Yazdani, H. (2024). Identifying drivers influencing the future of auditing: A meta-synthesis approach. Accounting and Auditing Reviews, 31(2), 390–427. https://doi.org/10.22059/acctgrev.2024.380683.1008994 (in Persian)
  30. Martini, C. C., Janissek-Muniz, R., & da Rosa, L. M. (2024). Proposta de um modelo prescritivo para a avaliação da maturidade do processo de inteligência. Revista Ibero-Americana de Estratégia, 23(2), e24785-e24785. https://doi.org/10.5585/2024.24785
  31. Mediaty, M., Indrijawati, A., Pratama Kohar, Y., Sutriani, S., & Salsabila, T. (2024). Review of artificial intelligence in accounting: Trends, implementation, and implications. Journal of Accounting and Finance Management, 5(5), 1146–1160. https://doi.org/10.38035/jafm.v5i5.1222
  32. Mirzapour, M. (2024). A review of the impacts of artificial intelligence on the objectives of financial statement auditing. In Proceedings of the 16th National Conference on Management and Humanities Research in Iran (pp. 2789–2805). https://civilica.com/doc/1979572/ (in Persian)
  33. Mohammadi, P., & Tahmasebi, E. (2024). Application of artificial intelligence in auditing: Benefits and challenges. Management and Accounting in the Third Millennium, 28(4), 149–160. www.hjournal.ir/fa/downloadpaper.php?pid=353&rid=36&p=A (in Persian)
  34. Motallebi Korbekandi, M., Azar, A., Khadivar, A., & Moghbel Baarz, A. (2023). Designing the Model of Intelligent Audit in the Supreme Audit Court of Iran with an Interpretive-Structural Modeling Approach. Public Management Researches, 15(58), 5-32. 10.22111/jmr.2022.43008.5818 (in Persian)
  35. Nazarpour, M., Nasl Mousavi, S. H., & Hosseini Shirvani, M. (2020). Application of artificial intelligence in tax auditing. Auditing Knowledge, 20(81), 198–226. https://danesh.dmk.ir/article-1-2345-fa.html (in Persian)
  36. Norzelan, N. A., Mohamed, I. S., & Mohamad, M. (2024). Technology acceptance of artificial intelligence among heads of finance and accounting units. Technological Forecasting and Social Change, 198, 123022. https://doi.org/10.1016/j.techfore.2023.123022
  37. Ramesheh, M., Maleki, M. H., & Soltanian, M. (2023). Proposing a framework for identifying key drivers affecting the future of auditing with a focus on Industry 4.0 technologies. Professional Auditing Research, 3(12), 8–37. https://doi.org/10.22034/jpar.2023.2003770.1176 (in Persian)
  38. Razali, F. A., Jusoh, M. A., Abu Talib, S. L., & Awang, N. (2022). The impact of Industry 4.0 towards accounting profession and graduate’s career readiness: A review of literature. Malaysian Journal of Social Sciences and Humanities, 7(7), e001624. https://doi.org/10.47405/mjssh.v7i7.1624
  39. Rohloff, M. (2009). Case study and maturity model for business process management implementation. https://doi.org/10.1007/978-3-642-03848-8_10
  40. Sadiq, R. B., Safie, N., Abd Rahman, A. H., & Goudarzi, S. (2021). Artificial intelligence maturity model: a systematic literature review. PeerJ Computer Science, 7, e661.
  41. Sehat Barmcheh, A., Shomakhi, H., & Yelfani, A. (2024). Proposing an artificial intelligence-based auditing judgment model. Journal of Management Accounting and Auditing Knowledge. https://doi.org/10.22034/jmaak.2025.77853.4352 (in Persian)
  42. Sun, C. M. (2012). The adaptation and routinization processes of a continuous auditing system implementation. AMCIS 2012 Proceedings. 21. https://aisel.aisnet.org/amcis2012/proceedings/AccountingInformationSystems/21/
  43. Syafral, M., Mardiasmo, Nahartyo, E., & Suyanto, S. (2024). The effect of government internal audit maturity on improving public administration performance. Proceeding of The International Conference on Business, Economics, Social Sciences, and Humanities, 7 null, 649-659. https://doi.org/10.34010/icobest.v7i.575
  44. Taghavi, S. R., & Fakhari, H. (2024). Futures studies of emerging technologies in the Iranian financial auditing profession: A Delphi-based scenario analysis. Professional Auditing Research, 4(16), 92–123. https://doi.org/10.22034/jpar.2024.2016148.1246 (in Persian)
  45. Takhtaei, N., & Shalalnezhad, M. (2023). Artificial intelligence and blockchain in accounting and auditing. Accounting and Management Outlook, 6(82), 224–229. https://www.jamv.ir/article_181174.html (in Persian)
  46. World Economic Forum. (2023). World Economic Forum Annual Report 2023–2024. World Economic Forum. https://www.weforum.org/publications/annual-report-2023-2024/
  47. Zahedifar, M., Zahedifar, Z. (Zahra), & Zahedifar, Z. (Zeynab). (2024). Investigating hospital auditing using artificial intelligence. Elites of Science and Engineering, 9 (2), 45–53. https://elitesjournal.com/fa/page.php?rid=805 (in Persian)
  48. Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2022). The impact of artificial intelligence and blockchain on the accounting profession. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2022.3144058
  49. Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2022). The impact of artificial intelligence and blockchain on the accounting profession. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2022.3144058
International Journal of Finance & Managerial Accounting

Articles in Press, Accepted Manuscript
Available Online from 17 June 2026