Capabilities Artificial Intelligence in Accounting: Analysis of its Consequences
Subject Areas :
masoud taherinia
1
,
abdollah saedi
2
1 - accounting department , lorestan university, khoramabad,iran
2 - Ph.D. Student in Public Administration, Faculty of Management and Economics, Lorestan University, Khorramabad, Iran
Keywords: Artificial intelligence, Accounting profession, Fuzzy Delphi Approach,
Abstract :
Artificial intelligence casts a shadow in almost all businesses and can be a suitable alternative to manual and computational work. The current research was conducted with the aim of analyzing and investigating the consequences of artificial intelligence in accounting. The statistical population of the research consists of 16 professors, certified accountants and auditors, who were selected based on the principle of theoretical adequacy and targeted sampling. According to the research approach (its mixed nature), the data collection tool in the qualitative part is a semi-structured interview, whose validity was confirmed through content validity and its reliability with the help of intra-coder and inter-coder reliability. On the other hand, the data collection tool in the quantitative section is the Delphi questionnaire, which was confirmed by content validity and inconsistency rate, respectively. In this way, the data obtained in the qualitative section were identified with the help of thematic analysis, using Atlas.T software and the method of coding the consequences (positive and negative consequences) of artificial intelligence in accounting. It should be noted that the present research . The results showed that according to the experts' point of view, prevention of financial crimes, organization of information, reduction of decision-making time, increase of accuracy and reduction of errors are the most important positive consequences of artificial intelligence in accounting. , technological unemployment, maintenance and continuous updating of algorithms, failure to determine the responsible for decision-making and elimination of conventional jobs/tasks are respectively the most important challenges (negative consequences) of artificial intelligence in accounting
فهرست منابع
کریمی، اکرم؛ دارابی، رویا؛ پورفخاران، محمدرضا؛ مقدم، حسین (1401 ). پیش بینی رتبه بندی کیفیت اطلاعات با رویکرد تحلیل عاملی و هوش مصنوعی، پژوهش های حسابداری مالی و حسابرسی، 14(2)، 101-102.
پورزمانی، زهرا؛ کلانتری، حسن (1392). مقایسه قدرت پیش بینی بحران مالی توسط تکنیک های مختلف هوش مصنوعی، پژوهش های حسابداری مالی و حسابرسی، 5(17)، 33-64.
رسولی، ندا؛ رحمانی، علی (1401). مسائل و مشکلات گزارشگری مالی در صنعت بیمه در ایران، پژوهش های حسابداری مالی و حسابرسی، 14(4)، 69-96.
Alqahtani , A (2023). A Review of the Scope, Future, and Effectiveness of Using Artificial Intelligence in Cardiac Rehabilitation: A Call to Action for the Kingdom of Saudi Arabia, Applied Artificial Intelligence, 37(1), 32-46. doi.org/10.1080/08839514.2023.2175111
Berdiyeva, O., Umar Islam, M & Saeedi, M (2021). Artificial Intelligence in Accounting and Finance: Meta-Analysis, NUST Business Review NUST Business School, 3(1), 56-79. DOI: https://doi.org/10.37 435/NBR21032502
Bhattamisra, S.K., Banerjee, P., Gupta, P., Mayuren, J., Patra, S & Candasamy, M (2023). Artificial Intelligence in Pharmaceutical and Healthcare Research, Big Data Cogn. Comput., 7, (10), 1-20. doi.org/10.3390/bdcc7010010
Cachat-Rosset, G & Klarsfeld, A (2023). Diversity, Equity, and Inclusion in Artificial Intelligence: An Evaluation of Guidelines, Applied Artificial Intelligence, 37(1), 1-12. doi.org/10.1080/08839514.2023.2176618.
Chen, Y.-N., Fan, K.-C.,Chang, Y.-L & Moriyama, T (2023). Special Issue Review: Artificial Intelligence and Machine Learning Applications in Remote Sensing. Remote Sens. 15(569), 1-10. doi.org/10.3390/rs15030569
Chu, H., Hwang, G., Tu, Y & Yang, K (2022). Roles and research trends of artificial intelligence in higher education: A systematic review of the top 50 most-cited articles, Australasian Journal of Educational Technology,83(3), 22-41.
Chukwudi, L., Echefu, S., Boniface, U & Victoria, N (2018). Effect of Artificial Intelligence on the Performance of Accounting Operations among Accounting Firms in South East Nigeria, Asian Journal of Economics, Business and Accounting, 7(2), 1-11. DOI: 10.9734/AJEBA/2018/41641.
Chukwudi, O., Echefu, S., Boniface, U., & Victoria, C. (2018). Effect of Artificial Intelli-gence on the Performance of Accounting Operations among Accounting Firms in South East Nigeria. Asian Journal of Economics,Business and Accounting, 7, 1-11.https://doi.org/10.9734/AJEBA/2018/41641
Costin Banța, V., Maria Rîndașu, S., Tănasie, A & Cojocaru, D (2022). Artificial Intelligence in the Accounting of International Busi-nesses: A Perception-Based Approach, Sustainability, 14(11), 1-11. doi.org/10.3390/su14116632
Entezari, A., Aslani, A., Zahedi, R & Noorollahi, (2023). Artificial intelligence and machine learning in energy systems: A bibliographic perspective, Energy Strategy Reviews, 45, 1-12. doi.org/10.1016/j.esr.2022.101017
Ezenwa, E & Nkem, U (2021). Impact of Artificial Intelligence (AI) on Accountancy Profession, Journal of Accounting and Financial Managemen, 7(2), 15-26.
Fedyk, A., Hodson, J., Khimich, N & Fedyk T (2022). Is artificial intelligence improving the audit process?, Review of Accounting Studies, 27, 938–985.
Flores-Vivar, J & García-Penalvo, F (2023). Reflections on the ethics, potential, and challenges of artificial intelligence in the framework of quality education (SDG4), Media education Research Journal, 1-10. doi.org/10.3916/C74-2023-03.
Giam, N., Hoai Nam, N & Huong Giang, N (2022). Situation and Proposals for Implementing Artificial Intelligence based Instructional Technology in Vietnamese Secondary Schools, International Journal of Emerging Technologies in Learning (iJET), 17(18), 53-76. doi.org/10.3991/ijet.v17i18.31503
Glikson, E & Woolley, B (2020). HUMAN TRUST IN ARTIFICIAL INTELLIGENCE: REVIEW OF EMPIRICAL RESEARCH, Academy of Management Annals, 14(2), 627-660. doi.org/10.5465/annals.0057
Han, H., Shiwakoti, R.K., Jarvis, R., Mordi, C. and Botchie, D. (2023). Accounting and Auditing with Blockchain Technology and Artificial Intelligence: A Literature Review. International Journal of Accounting Information Systems. 48 (2), 1-14. https://doi.org/10.1016/j.accinf.2022.100598
Hasan, A. R. (2022). Artificial Intelligence (AI) in Accounting & Auditing: A Literature Review. Open Journal of Business and Management, 10, 440-465.
https://doi.org/10.4236/ojbm.2022.101026
Hashem, F & Alqatami, R (2021). Role of Artificial Intelligence in Enhancing Efficiency of Accounting Information System and Non-Financial Performance of the Manufacturing Compani, International Business Research, 14(12), 65-76. doi:10.5539/ibr.v14n12p65.
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. doi.org/10.2308/JETA-2020-054
Hosen , F (2020). Impact of Artificial Intelligence and the Future of the Accounting Profession, Asian Accounting and Auditing Advansement, 11(1), 1-10.
Huang, A & You, H (2022). Artificial Intelligence in Financial Decision Making, Handbook of Financial Decision Making, Forthcoming , HKUST Business School Research, 1-30. https://ssrn.com/abstract=4235511
Kokina, J., & Hayes Davenport, T. (2017). The emergence of artificial intelligence: How automation is changing auditing. Journal of Emerging Technologies in Accounting, 14(1), 115–122. DOI:https://doi.org/10.2308/jeta-51730
Kumar, K., Kumar, P., Deb, D., Unguresan, M.-L. & Muresan, V (2023). Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends. Healthcare,11(207), 1-20. doi.org/10.3390/healthcare11020207
Lehner, O., Ittonen, K., Silvola, H & Strom, V (2022). Artificial intelligence based decision-making in accounting and auditing: ethical challenges and normative thinking, Accounting, Auditing & Accountability Journal, 35(9), 109-135. DOI 10.1108/AAAJ-09-2020-4934.
Li, Ch., Haohao, S & Ming, F (2020). Research on the Impact of Artificial Intelligence Technology on Accountin, Journal of Physics, 1-7. doi:10.1088/1742-6596/1486/3/0320
Makridakis, S. (2017). The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact
on Society and Firms.Futures, 90, 46-60. doi.org/10.1016/j.futures.2017.03.006
Qiu, J (2022). Analysis of Human Interactive Accounting Management Information Systems Based on Artificial Intelligence, Journal of Global Information Management (JGIM) 30(7), 1-13. DOI: 10.4018/JGIM.294905
Rodrigues, L., Pereira, J., da Silva, A. F., & Ribeiro, H. (2023). The impact of artificial intelligence on audit profession. Journal of Information Systems Engineering and Management, 8(1), 1-7. https://doi.org/10.55267/iadt.07.12743.
Salvagno, M., Taccone, F & Gerli, A (2023). Can artificial intelligence help for scientific writing?, Critical Care, 13(4), 1-5. doi.org/10.1186/s13054-023-04380-2.
Schellekens, M (2022). .Artificial Intelligence and the re-imagination of inventive step, Journal of Intellectual Property, Information Technology and E-Commerce Law: JIPITEC, 89-99. doi .urn:nbn:de:0009-29-55379
Stafie, G & Grosu, V (2022). DIGITAL TRANSFORMATION OF ACCOUNTING AS A RESULT OF THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING, Romanian Journal of Economics,1 (63), 95-112.
Stancu, M & Dutescu, A (2021). The impact of the Artificial Intelligence on the accounting
profession, a literature’s assessment, International Conference on Business Excellence, 749-758. DOI: 10.2478/picbe-2021-0070.
Tian,J & Li, L (2022). Research on artificial intelligence of accounting information processing based on image processing[J]. Mathematical Biosciences and Engineering, 19(8), 8411-8425. doi: 10.3934/mbe.2022391
Xin, Y., Man, W & Yi, Zh (2021). The development trend of artificial intelligence in medical: A patentometric analysis, Artificial Intelligence in the Life Sciences, 1(3), 26-38.
Zemánková, A. (2019). Artificial Intelligence and Blockchain in Audit and Accounting:
Literature Review.WSEAS Transactions on Business and Economics, 16, 568-581.
Zheng, M (2022). Advanced Artificial Intelligence Model for Financial Accounting
Transformation Based on Machine Learning and Enterprise Unstructured Text Data, Mobile Information Systems, 1-11. doi.org/10.1155/2022/5708652.
