بررسی نقش هوش مصنوعی در حسابداری مدیریت راهبردی در سازمان های مالی با روش ترکیبی دلفی فازی

نوع مقاله : پژوهشی

نویسندگان
گروه مهندسی صنایع و مدیریت، دانشکده مهندسی صنایع و مدیریت، دانشگاه صنعتی شاهرود، شاهرود، ایران.
چکیده
امروزه سازمان‌های مالی به‌دنبال روش‌های نوین برای تقویت موقعیت رقابتی و بهینه‌سازی فرآیندهای تصمیم‌گیری هستند. هوش مصنوعی (AI) به‌عنوان یکی از پیشرفته‌ترین فناوری‌ها در این زمینه نقشی بی‌بدیل ایفا می‌کند. این مقاله به تحلیل نقش هوش مصنوعی در حسابداری مدیریت راهبردی سازمان‌های مالی می‌پردازد و به بررسی چگونگی تأثیرگذاری این فناوری بر بهبود تجزیه و تحلیل داده‌ها، پیش‌بینی مالی، و تسهیل فرآیندهای تصمیم‌گیری استراتژیک می‌پردازد. با بهره‌گیری از الگوریتم‌های پیچیده و یادگیری ماشین هوش مصنوعی توانایی شناسایی الگوهای پنهان و پیش‌بینی سناریوهای مالی را دارد که می‌تواند در ارزیابی ریسک و فرصت‌های سرمایه‌گذاری مؤثر باشد. همچنین به پیامدهای فرهنگی و فنی ناشی از پیاده‌سازی فناوری هوش مصنوعی در ساختارهای حسابداری مدیریت می‌پردازد و چالش‌هایی از جمله نیاز به تغییر در مهارت‌های کارکنان و ادغام سیستم‌های هوش مصنوعی در فرآیندهای موجود را مورد بحث قرار می‌دهد. هدف تحقیق حاضر بررسی معیار های نقش هوش مصنوعی در حسابداری مدیریت راهبردی در سازمان های مالی است.شناسایی و رتبه بندی معیار ها از طریق پیشینه پژوهش و سپس به روش دلفی فازی شناسایی وتایید خبرگان قرار گرفتند به منظور رتبه بندی معیارهای تأییدشده از روش تصمیم گیری چندمعیاره بهترین-بدترین استفاده شد و در نهایت نتایج بیانگر آن بود که معیار های هزینه های آموزش وتوسعه مهارت، کمبود منابع انسانی متخصص جهت پیاده سازی، هزینه های نگهداری وپشتیبانی به ترتیب از مهم ترین معیار های نقش هوش مصنوعی در حسابداری مدیریت راهبردی در سازمان های مالی هستند.

کلیدواژه‌ها

موضوعات


عنوان مقاله English

Investigating the role of artificial intelligence in strategic management accounting in financial organizations using the hybrid Delphi fuzzy method

نویسندگان English

Mohammad Barzegar
Mahdi Jahani
Department of Industrial Engineering and Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran.
چکیده English

Today, financial organizations are looking for new ways to strengthen their competitive position and optimize decision-making processes. Artificial intelligence (AI), as one of the most advanced technologies, plays an unparalleled role in this field. This article analyzes the role of artificial intelligence in strategic management accounting of financial organizations and examines how this technology affects the improvement of data analysis, financial forecasting, and facilitation of strategic decision-making processes. By using complex algorithms and machine learning, artificial intelligence has the ability to identify hidden patterns and predict financial scenarios that can be effective in assessing risk and investment opportunities. It also addresses the cultural and technical implications of implementing artificial intelligence technology in management accounting structures and discusses challenges such as the need for changes in employee skills and the integration of artificial intelligence systems into existing processes. The purpose of this study is to examine the criteria for the role of artificial intelligence in strategic management accounting in financial organizations. The criteria were identified and ranked through research history and then identified and approved by experts using the fuzzy Delphi method. In order to rank the approved criteria, the best-worst multi-criteria decision-making method was used. Finally, the results indicated that the criteria for training and skill development costs, lack of specialized human resources for implementation, maintenance and support costs are, respectively, the most important criteria for the role of artificial intelligence in strategic management accounting in financial organizations.

کلیدواژه‌ها English

Artificial Intelligence
Obstacles
Strategic Management Accounting
Fuzzy Delphi
Best and Worst
Bandyopadhyay, D., & Sen, J. (2011). Internet of things: Applications and challenges in technology and standardization. Wireless personal communications, 58(1), 49-69. https://www.researchgate.net/publication/51890865_Internet_of_Things_Applications_and_Challenges_in_Technology_and_Standardization https://link.springer.com/article/10.1007/s11277-011-0288-5
Burange, A. W., & Misalkar, H. D. (2015, March). Review of Internet of Things in development of smart cities with data management & privacy. In 2015 International Conference on Advances in Computer Engineering and Applications (pp. 189-195). IEEE. https://ieeexplore.ieee.org/abstract/document/7164693 
Chen, Y. (2021). Framework of the smart finance and accounting management model under the artificial intelligence perspective. Mobile Information Systems, 2021(1), 4295191. https://doi.org/10.1155/2021/4295191  
Dirican, C. (2015). The impacts of robotics, artificial intelligence on business and economics. Procedia-social and behavioral sciences, 195, 564-573. https://doi.org/10.1016/j.sbspro.2015.06.134
Dineshreddy, V., & Gangadharan, G. R. (2016, March). Towards an “Internet of Things” framework for financial services sector. In 2016 3rd International Conference on Recent Advances in Information Technology (RAIT) (pp. 177-181). IEEE. https://www.researchgate.net/profile/Dr-Dinesh-Reddy-Vemula/publication/289451535_Towards_an_Internet_of_Things_Framework_for_Financial_Services_Sector/links/60bcb9d8a6fdcc22eadfc007/Towards-an-Internet-of-Things-Framework-for-Financial-Services-Sector.pdf
Hasan, A. R. (2021). Artificial Intelligence (AI) in accounting & auditing: A Literature review. Open Journal of Business and Management, 10(1), 440-465. https://doi.org/10.4236/ojbm.2022.101026
Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial Intelligence: A literature review. International Journal of Accounting Information Systems, 48, 100598. https://www.sciencedirect.com/science/article/pii/S1467089522000501
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://digitalcommons.trinity.edu/cgi/viewcontent.cgi?article=1193&context=busadmin_faculty
Karmańska, A. (2021). Internet of Things in the accounting field–benefits and challenges. Operations Research and Decisions, 31. https://www.researchgate.net/publication/356654114_Internet_of_Things_in_the_Accounting_Field_Benefits_and_Challenges
Korobeynikova, O. M., Korobeynikov, D. A., Popova, L. V., Chekrygina, T. A., & Shemet, E. S. (2021, March). Artificial intelligence for digitalization of management accounting of agricultural organizations. In IOP conference series: earth and environmental science (Vol. 699, No. 1, p. 012049). IOP Publishing. https://iopscience.iop.org/article/10.1088/1755-1315/699/1/012049/meta
Mancini, D., Lombardi, R., & Tavana, M. (2021). Four research pathways for understanding the role of smart technologies in accounting. Meditari Accountancy Research, 29(5), 1041-1062.                                                                                  http://tavana.us/publications/SMART-ACC.pdf
Mahalakshmi, V., Kulkarni, N., Kumar, K. P., Kumar, K. S., Sree, D. N., & Durga, S. (2022). The role of implementing artificial intelligence and machine learning technologies in the financial services industry for creating competitive intelligence. Materials Today: Proceedings, 56, 2252-2255. https://doi.org/10.1016/j.matpr.2021.11.577
Mikhaylov, S. J., Esteve, M., & Campion, A. (2018). Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 376(2128), 20170357. https://royalsocietypublishing.org/rsta/article-abstract/376/2128/20170357/115646/Artificial-intelligence-for-the-public-sector?redirectedFrom=PDF
Namifard Tehran, F. , Sotudeh, R. , Haghparast, A. and hirad, A. (2025). Presenting the structural model of the efficiency indicators and components of blockchain technology in the accounting and auditing unit. Journal of Management Accounting and Auditing Knowledge, 14(56), 395-410. [in persian] https://www.jmaak.ir/article_23869.html?lang=en
Omoteso, K. (2012). The application of artificial intelligence in auditing: Looking back to the future. Expert Systems with Applications, 39(9), 8490-8495. https://www.sciencedirect.com/science/article/abs/pii/S095741741200111X
Perols, J. (2011). Financial statement fraud detection: An analysis of statistical and machine learning algorithms. Auditing: A Journal of Practice & Theory, 30(2), 19-50.  https://doi.org/10.2308/ajpt-50009
Santos, C., Rocha, Á., & Silva, A. (2025). Management accounting as a business intelligence system. Examination in Portuguese small and medium enterprises. Neural Computing and Applications, 1-15.                                                                                https://doi.org/10.1007/s00521-025-11118-4 .
Saadati, E.,  Ansari, Z., Farahmandnia, A., & Asadimehr, K. (2025) The Strategy based   approach to applying artificial intelligence technology in accounting: with reference to auditing and management accounting trends, [in persian]: DOI  10.22034/smajournal.2025.526677.1036
Setayesh, M. H., Rezaianzad. Z., (2023) Identifying and ranking factors affecting innovation in accounting., [in persian]  : https://doi.org/10.22054/qjma.2023.73784.2461
Shrestha, Y. R., Ben-Menahem, S. M., & Von Krogh, G. (2019). Organizational decision-making structures in the age of artificial intelligence. California management review, 61(4), 66-83.                                                                   https://doi.org/10.1177/0008125619862257
Sotudeh, R. , Haghparast, A. and Hirad, A. (2025). Management Accounting and Resilience Economics Model for Sustainable Development of Manufacturing Companies. Strategic Management Accounting, 1(1), 41-66. [in persian] https://doi.org/10.22034/smajournal.2025.511901.1003
Sotudeh, R. and Abasyan, R. (2024). Explaining the accounting model of strategic management to reduce the costs of manufacturing companies in the country. Modern Research in Performance Evaluation, 2(4), 253-262. [in persian] https://doi.org/10.22105/mrpe.2024.450062.1093
Sotudeh, R. , Hirad, A. and Sarhadi, E. (2024). Explaining the pattern of monitoring and evaluating the organizational performance of commercial companies in the country. Modern Research in Performance Evaluation, 3(1), 11-22. [in persian] https://doi.org/10.22105/mrpe.2024.447861.1092
Yaşar, Ş. (2024). Integration of artificial intelligence in management accounting: a SWOT analysis. Journal of Business in The Digital Age, 7(1), 9-19. https://dergipark.org.tr/en/download/article-file/3888560 https://doi.org/10.46238/jobda.1474352.
Yazdanparast, S. M., Jamipour, M., Jafari, S, MB. (2022) Identifying and prioritizing applications of artificial intelligence in online marketing, [in persian]  :(DOI): 10.22034/jbar.2022.15783.3850.
Zhang, C., Zhu, W., Dai, J., Wu, Y., & Chen, X. (2023). Ethical impact of artificial intelligence in managerial accounting. International Journal of Accounting Information Systems, 49, 100619. file:///C:/Users/SabaNet/Downloads/ssrn-4394217.pdfYaşar, Ş. (2024). Integration of artificial intelligence in management accounting: a SWOT analysis. Journal of Business in The Digital Age, 7(1), 9-19. https://dergipark.org.tr/en/download/article-file/3888560 https://doi.org/10.46238/jobda.1474352.