حسابرسی مبتنی بر ریسک: با رویکرد تصمیم گیری چند شاخصه

نویسندگان
چکیده
رمز موفقیت در دنیای حسابرسی، توانایی تطبیق دانش حسابرسان با روند تغییر رویکردهای حسابرسی بوده است. این مقاله با هدف کاربرد روش­های تصمیم­گیری چندشاخصه ترکیبی در حسابرسی مبتنی بر ریسک در موسسات اعتباری صورت گرفته است. از نظر روش، تحقیق حاضر از نوع اکتشافی می ­باشد. جامعه آماری پژوهش مدیران و کارشناسان خبره بانکی و دانشگاهی دارای صلاحیت اظهار نظر در خصوص شناسایی، ارزیابی شاخص­ها و فرایندهای موثر بر حسابرسی مبتنی بر ریسک بوده­اند. شاخص­های کلیدی حسابرسی مبتنی بر ریسک براساس مطالعات اسنادی و میدانی و مصاحبه با 7 مدیر و خبره بانکی انتخاب و با استفاده از روش FUCOM توسط 3 مدیر تعیین وزن شدند. ریسک­های بانکی براساس شاخص­های کلیدی ریسک و با استفاده از روش EDAS رتبه­بندی شدند و فرآیندهای حسابرسی مبتنی بر نوع ریسک و درجه آن پردازش و براساس نظر 14 عضو کمیته­ حسابرسی، ریسک، تطبیق و مبارزه با پولشویی و تأمین مالی تروریسم موسسه اعتباری با استفاده از روش دلفی فازی غربال شدند. نتایج حاصل از این پژوهش نشان می­دهد 4 شاخص­ کلیدی حسابرسی مبتنی بر ریسک به ترتیب اهمیت شامل؛ نظر رئیس کمیته حسابرسی، میزان ارزش دارایی­های در معرض نوع ریسک در گزارشات 5 سال اخیر حسابرس مستقل و بازرس قانونی، نظر کمیته فرعی مدیریت ریسک و میزان ارزش دارایی­های در معرض نوع ریسک در گزارشات 5 سال اخیر حسابرس داخلی شناسایی شدند. همچنین یافته­ها نشان داد؛ تسهیلات و تعهدات کلان، استقرار چهارچوب حاکمیت شرکتی، ارائه محصولات و خدمات بانکی و مشارکت حقوقی و سرمایه­گذاری به­ترتیب مهمترین فرایندها برای حسابرسی مبتنی بر ریسک انتخاب شدند. برای روش­ پیشنهادی مثال تجربی از حسابرسی مبتنی بر ریسک در یک موسسه اعتباری آورده شده است.
کلیدواژه‌ها

عنوان مقاله English

Based Risk Audit: By approaching multi attribute decision-making

نویسندگان English

farzad pouyan far
farzad mahmoodi
چکیده English

The key to success in the world of auditing has been the ability to adapt auditorschr('39') knowledge to the process of changing audit approaches. This article aims to apply the combination of multi-criteria decision-making methods in risk-based auditing (RBA) in credit institutions. In terms of method, the present study is exploratory. The statistical population of the study Managers and banking and academic experts have the authority to comment on the identification, evaluation of indicators and processes affecting RBA. The key indicators of RBA were selected based on documentary and field studies and interviews with 7 managers and banking experts and were weighted by 3 managers using FUCOM method. Banking risks were ranked based on key risk indicators using the EDAS method and audit processes were processed based on the type and degree of risk and based on the opinion of 14 members of the Audit Committee, risk, compliance and anti-money laundering and Combating the Financing of Terrorism of Credit institution was screened using the fuzzy Delphi method. The results of this study show the 4 key indicators of RBA in order of importance, including; The opinion of the Chairman of the Audit Committee, the value of assets exposed to the type of risk in the reports of the independent auditor and statutory auditor for the last 5 years, the opinion of the Subcommittee on Risk Management and the value of assets exposed to the type of risk The findings also show; Major facilities and commitments, establishing a corporate governance framework, providing banking products and services, and legal partnership and investment, respectively, were selected as the most important processes for RBA. For the proposed method, an empirical example of RBA in a credit institution is given.

کلیدواژه‌ها English

Risk-Based Audit (RBA)
Multi Attribute Decision Making
Full Consistency Method
Evaluation Based on Distance from Average Solution
Fuzzy Delphi
1. Albersmeier, F., Schulze, H. Spiller, A. )2010(. System dynamics in food quality certifications: Development of an audit integrity system. Int. J. Food System Dynamics 1, 69–81.
2. Alptürk, E. (2008). Finans, muhasebe ve vergi boyutlarında ic¸ denetim rehberi. Maliye ve Hukuk Yayınları, Ankara.
3. Alzuela, J.M.B. (2003), Risk management in financial institutions, Partida Doble (Spanish), December, pp. 62-5.
4. Bell, T. B., Peecher, M. E., and Solomon, I. (2005). The 21st century public company audit: Conceptual elements of KPMG’s global audit methodology. KPMG, LLP.
5. Bozanic, D., Tešić, D., & Kočić, J. (2019). Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span Bailey bridge. Decision Making: Applications in Management and Engineering, 2(1), 132-146.
6. Carretta, A., Fiordelisi, F., & Schwizer, P. (2017). Risk Culture in Banking. London: Palgrave Macmillan.
7. Castanheira, N., Rodrigues, L. L., Craig, R. (2009). Factors associated with the adoption of risk-based internal auditing, Managerial Auditing Journal, Vol. 25. 79-98.
8. Dordevic, D. Stojic, G. Stevic, Z. Pamucar, D. Vulevic, A. & Misic, V. (2019). A New Model for Defining the Criteria of Service Quality in Rail Transport: The Full Consistency Method Based on a Rough Power Heronian Aggregator. Symmetry, 11. 992.
9. Drogalas, G., Siopi, S. (2017). Risk Management and Internal Audit: Evidence from Greece. Risk governance & control: financial markets & institutions, Volume 7, Issue 3.
10. Eulerich, M., Georgi, C., Schmidt, A. (2019) Continuous Auditing and Risk-Based Audit Planning, SSRN Electronic Journal.
11. Fazlollahtabar, H., Smailbašić, A., & Stević, Željko. (2019). FUCOM method in group decision-making: Selection of forklift in a warehouse. Decision Making: Applications in Management and Engineering, 2(1).
12. Görener A. (2017) Risk Based Internal Audit. In: Dinçer H., Hacioğlu Ü. (eds) Risk Management, Strategic Thinking and Leadership in the Financial Services Industry. Contributions to Management Science. Springer.
13. Ishikawa, A., T. Amagasa, T. Shiga, G. Tomizawa, R. Tatsuta and H. Mieno. (1993). the Max-Min Delphi Method and Fuzzy Delphi Method via Fuzzy Integration. Fuzzy Sets Systems, 55(3), 241-253.
14. Karagiorgos, T., Drogalas, G., Eleftheriadis, Ι. and Christodoulou, P. (2009) “Efficient Risk Management and Internal Audit”, International Journal of Management Research and Technology, 3(2), Serials Publications, pp. 429-436.
15. Keshavarz Ghorabaee, M. Zavadskas, E.K. Olfat, L. Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 26, 435–451.
16. Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic – Theory and application. New Jersey: Prentice-Hall Inc.
17. Lois, P., Drogalas, G., and Doulgeridis, K., and Petridis, K. (2020). Critical Variables in the Implementation of a Risk-Based Internal Audit: A Theoretical and Empirical Investigation of Greek Companies. Journal of Operational Risk, Vol. 15, No.4.
18. Lois, P., Drogalas, G., Nerantzidis, M., Georgiou, I. and Gkampeta, E. (2021). "Risk-based internal audit: factors related to its implementation", Corporate Governance, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/CG-08-2020-0316
19. Matic, B. Jovanovic, S. Das, D.K. Zavadskas, E.K. Stevic, Z. Sremac, S. Marinkovic, M. A.(2019). New Hybrid MCDM Model: Sustainable Supplier Selection in a Construction Company. Symmetry, 11, 353.
20. Merna T, Al-Thani FF. (2005) .corporate risk management. Wiley, Hoboken, NJ.
21. Murry, T. J. Pipino, L. L. & Gigch, J. P. (1985). A pilot study of fuzzy set modification of Delphi. Human Systems Management, 5(1), 76-80.
22. Nenadić, D. (2019). Ranking dangerous sections of the road using MCDM model. Decision Making: Applications in Management and Engineering, 2(1), 115-131.
23. Noureddine, M., & Ristic, M. (2019). Route planning for hazardous materials transportation: Multi criteria decision making approach. Decision Making: Applications in Management and Engineering, 2(1), 66-85.
24. Palermo, T., Power, M., & Ashby, S. (2016). Navigating institutional complexity: The production of risk culture in the financial sector, Journal of Management Studies. Https: //doi.org/10.1111/joms.12241.
25. Pamucar, D. Stevic, Ž. Sremac, S. (2018). A new model for determining weight coecients of criteria in mcdm models: Full consistency method (Fucom). Symmetry, 10. 393.
26. Pamučar, D. Lukovac, V. Božanić, D. & Komazec, N. (2018). Multi-criteria FUCOM-MAIRCA model for the evaluation of level crossings: case study in the Republic of Serbia. Operational Research in Engineering Sciences: Theory and Applications, 1(1), 108-129.
27. Prentkovskis, O. Erceg, Ž. Stević, Ž. Tanackov, I. Vasiljević, M. Gavranović, M. )2018(. A New Methodology for Improving Service Quality Measurement: Delphi-FUCOM-SERVQUAL Model. Symmetry, 10, 757.
28. Prinsloo, Jeffrina, (2008), the Development and Evaluation of Risk-Based Audit Approaches, University of the Free State. (In Persian).
29. Ring, P. J., Bryce, C., McKinney, R., & Webb, R. (2016). Taking notice of risk culture the regulator’s approach. Journal of Risk Research, 19(3), 364–387.
30. Sarens, G. & de Beelde, I. (2006). “Internal auditors’ perception about their role in risk management: a comparison between US and Belgian companies”, Managerial Auditing Journal, Vol. 21 No. 1, pp. 63-8.
31. Schoon, N. (2016). Modern Islamic banking: products, processes in practice. John Wiley & Son, edition first published.
32. Schoon, N. (2016). Modern Islamic banking: products, processes in practice. John Wiley & Son, edition first published
33. Sinha, V.K. & Arena, M. (2018). Manifold Conceptions of the Internal Auditing of Risk Culture in the Financial Sector, Journal of Business Ethics.
34. Van Asseldonk, M. A.P.M. & Velthuis, A. G.J. (2014). Risk-based audit selection of dairy farms, Journal of Dairy Science, Volume 97, Issue 2. 592 – 597.
35. William, F. Messier, Jr. (2017). An approach to learning risk-based auditing. Journal of Accounting Education, Volume 32, Issue 3. 276-287.
36. Zagradjanin, N. Pamucar, D. & Jovanovic, K. (2019). Cloud-Based Multi-Robot Path Planning in Complex and Crowded Environment with Multi-Criteria Decision Making Using Full Consistency Method. Symmetry, 11. 1241.
37. Zaiceanu, A.M. Hlaciuc, E. & Lucana, A.N.C. (2015). Methods for Risk Identification and Assessment in Financial Audition. Emerging Markets Queries in Finance and Business. Procedia Economics and Finance 32.595 – 602.
38. Zainal Abidin, N. (2017). "Factors influencing the implementation of risk-based auditing", Asian Review of Accounting, Vol. 25 No. 3. 361-375.