Artificial Intelligence in Accounting: Implications for Practices and Education
Abstract
Kami melakukakan tinjauan literatur semi-terstruktur mengenai manfaat dan potensi dampak kecerdasan buatan (Artificial Intelligence/AI) dalam praktisk dan profesi akuntansi. Analisis kami menyoroti aplikasi AI saat ini, terutama dalam praktik audit yang dapat meningkatkan produktivitas dan meningkatkan kualitas laporan keuangan. Kemajuan tersebut memungkinkan akuntan untuk beralih dari peran tradisional ke posisi yang lebih strategis. Meskipun manfaat AI signifikan dalam banyak praktik akuntansi, kami juga mengakui potensi risiko tekait adopsi AI. Selain itu, kami membahas implikasi dari adopsi AI yang luas untuk akuntan masa depan dan pendidikan akuntansi. Hasil analisis kami menyimpulkan bahwa akuntan masa depan perlu memiliki ketrampulan interdisipliner agar dapat memberikan layanan dengan nilai tambah yang lebih tinggi. Oleh karena itu, kami menyerukan upaya kolaboratif dari fakultas dan program studi untuk mengembangkan kurikulum akuntansi agar dapat beradaptasi dengan perubahan yang disebabkan oleh AI.
References
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Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica: Journal of the econometric society, 153-161.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons, 62(1), 15-25.
Khaled AlKoheji, A., & Al-Sartawi, A. (2022, May). Artificial intelligence and its impact on accounting systems. In European, Asian, Middle Eastern, North African Conference on Management & Information Systems (pp. 647-655). Cham: Springer International Publishing.
Kommunuri, J. (2022). Artificial intelligence and the changing landscape of accounting: a viewpoint. Pacific Accounting Review, 34(4), 585-594.
Kotb, A., Roberts, C., & Stoner, G. (2013). E-business in accounting education in the UK and Ireland: Influences on inclusion in the curriculum. The International Journal of Management Education, 11(3), 150-162.
KPMG. (2018). KPMG applying IBM artificial intelligence to help businesses efficiently meet IFRS 16 lease account requirements. KPMG Reporting News. Retrieved April 8, 2024, from https://assets.kpmg.com/content/dam/kpmg/nz/pdf/April/DPP_Reporting_News_Issue%202-3_April_2018.pdf.
Li, K., Mai, F., Shen, R., Yang, C., & Zhang, T. (2024). Dissecting corporate culture using generative AI – Insights from analyst reports. Available at SSRN 4558295.
Lo, A. W., & Ross, J. (2024). Can ChatGPT plan your retirement?: Generative AI and financial advice. Available at SSRN 4722780.
Loughran, T., & McDonald, B. (2011). When is a liability not a liability? Textual analysis, dictionaries, and 10‐Ks. The Journal of finance, 66(1), 35-65.
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Mordor Intelligence. (2024). AI in accounting market size & share analysis – Growth trends & forecasts (2024-2029). Retried April 6, 2024, from https://www.mordorintelligence.com/industry-reports/artificial-intelligence-in-accounting-market.
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Nickerson, M. A. (2019). AI: New risks and rewards. Strategic Finance, 1-11.
Onwuegbuzie, A. J., Frels, R. K., & Hwang, E. (2016). Mapping Saldana's Coding Methods onto the Literature Review Process. Journal of Educational Issues, 2(1), 130-150.
Pathak, J., Vidyarthi, N., & Summers, S. L. (2005). A fuzzy‐based algorithm for auditors to detect elements of fraud in settled insurance claims. Managerial auditing journal, 20(6), 632-644.
Petkov, R. (2020). Artificial intelligence (AI) and the accounting function—A revisit and a new perspective for developing framework. Journal of Emerging Technologies in Accounting, 17(1), 99-105.
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Qasim, A., & Kharbat, F. F. (2020). Blockchain technology, business data analytics, and artificial intelligence: Use in the accounting profession and ideas for inclusion into the accounting curriculum. Journal of Emerging Technologies in Accounting, 17(1), 107-117.
Ranta, M., Ylinen, M., & Järvenpää, M. (2023). Machine learning in management accounting research: Literature review and pathways for the future. European Accounting Review, 32(3), 607-636.
Schwab, K. (2017). The fourth industrial revolution. Crown Business.
Tapis, G. P., & Priya, K. (2020). Developing and assessing data analytics courses: A continuous proposal for responding to AACSB standard A5. Journal of Emerging Technologies in Accounting, 17(1), 133-141.
Templier, M., & Paré, G. (2015). A framework for guiding and evaluating literature reviews. Communications of the Association for Information Systems, 37(1), 6.
Walker, S. P. (2016). Revisiting the roles of accounting in society. Accounting, organizations and society, 49, 41-50.
Wang, C. (2023). The Fourth Revolution. The UNESCO Courier. Retrieved April 5, 2024, from https://courier.unesco.org/en/articles/fourth-revolution.
Webb, M. (2024). Top Google searches 2023: What is the most searched thing on Google?. Retrieved April 5, 2024, from https://www.techopedia.com/top-google-searches-2023.
Wong, J. (2019, August 8). How AI is transforming business right now. EY. Retrieved April 23, 2024, from https://www.ey.com/en_gl/insights/innovation/how-ai-is-transforming-business-right-now.
Yang, D. C., & Vasarhelyi, M. (1993). The application of expert systems in libraries. The Journal of Academic Librarianship, 19(1), 45–46.
Zhang, C. A., Cho, S., & Vasarhelyi, M. (2022). Explainable artificial intelligence (XAI) in auditing. International Journal of Accounting Information Systems, 46, 100572.
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. IEEE Access, 8, 110461-110477.
Almufadda, G., & Almezeini, N. A. (2022). Artificial intelligence applications in the auditing profession: A literature review. Journal of Emerging Technologies in Accounting, 19(2), 29-42.
Anantharaman, D., Rozario, A., & Zhang, C. A. (2023). Artificial Intelligence and Financial Reporting Quality. Available at SSRN 4625279.
Andon, P. (2023, August 23). Why the modern economy couldn’t exist without accounting. UNSW BusinessThink. Retrieved June 30, 2024, from https://www.businessthink.unsw.edu.au/articles/accounting-professor-ray-ball.
Baldwin-Morgan, A. A. (1995). Integrating artificial intelligence into the accounting curriculum. Accounting education, 4(3), 217-229.
Boritz, J. E., & Stratopoulos, T. C. (2023). AI and the accounting profession: Views from industry and academia. Journal of Information Systems, 37(3), 1-9.
Cao, S. S., Jiang, W., Lei, L., & Zhou, Q. (2024). Applied AI for finance and accounting: Alternative data and opportunities. Pacific-Basin Finance Journal, 102307.
Clayton, P. R., & Clopton, J. (2019). Business curriculum redesign: Integrating data analytics. Journal of Education for Business, 94(1), 57-63.
Commerford, B. P., Dennis, S. A., Joe, J. R., & Ulla, J. W. (2022). Man versus machine: Complex estimates and auditor reliance on artificial intelligence. Journal of Accounting Research, 60(1), 171-201.
Cui, J., Robertson, J. C., & Kipp, P. (2024). The effects of the use of artificial intelligence and task distinctiveness on auditor liability. Available at SSRN 4038554.
de Kok, T. (2024). ChatGPT for Textual Analysis? How to use Generative LLMs in Accounting Research. Available at SSRN 4429658.
Dechow, P. M., & Dichev, I. D. (2002). The quality of accruals and earnings: The role of accrual estimation errors. The Accounting Review, 77(s-1), 35-59.
Deloitte. (2015). Analytics trends 2015. Retrieved April 20, 2024, from https://www2.deloitte.com/tr/en/pages/deloitte-analytics/articles/analytics-trends-2015.html.
Deloitte. (2019). The power of advanced audit analytics. Retrieved April 20, 2024, from https://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/us-the-power-of-advanced-audit-analytics.html.
Dzuranin, A. C., Jones, J. R., & Olvera, R. M. (2018). Infusing data analytics into the accounting curriculum: A framework and insights from faculty. Journal of Accounting Education, 43, 24-39.
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2023). GPTs are GPTs: An early look at the labor market impact potential of large language models. arXiv preprint arXiv:2303.10130.
Eulerich, M., Sanatizadeh, A., Vakilzadeh, H., & Wood, D. A. (2024). Is it all hype? ChatGPT’s performance and disruptive potential in the accounting and auditing industries. Review of Accounting Studies, 1-32.
EY. (2016). Big data and analytics. Retrieved April 16, 2024, from https://www.ey.com/en_gl/services/big-data-analytics
Fedyk, A., Hodson, J., Khimich, N., & Fedyk, T. (2022). Is artificial intelligence improving the audit process?. Review of Accounting Studies, 27(3), 938-985.
Ferreira, A., & Pedrosa, I. (2024, March). Reshaping the Accountant’s Future in the Era of Emerging Technologies. In World Conference on Information Systems and Technologies (pp. 296-305). Cham: Springer Nature Switzerland.
Fisher, I. E., Garnsey, M. R., & Hughes, M. E. (2016). Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research. Intelligent Systems in Accounting, Finance and Management, 23(3), 157-214.
Fjeld, J., Achten, N., Hilligoss, H., Nagy, A., & Srikumar, M. (2020). Principled artificial intelligence: Mapping consensus in ethical and rights-based approaches to principles for AI. Berkman Klein Center Research Publication, (2020-1).
Fritz-Morgenthal, S., Hein, B., & Papenbrock, J. (2022). Financial risk management and explainable, trustworthy, responsible AI. Frontiers in artificial intelligence, 5, 779799.
Greenman, C. (2017). Exploring the impact of artificial intelligence on the accounting profession. Journal of Research in Business, Economics and Management, 8(3), 1451-1454.
Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica: Journal of the econometric society, 153-161.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business horizons, 62(1), 15-25.
Khaled AlKoheji, A., & Al-Sartawi, A. (2022, May). Artificial intelligence and its impact on accounting systems. In European, Asian, Middle Eastern, North African Conference on Management & Information Systems (pp. 647-655). Cham: Springer International Publishing.
Kommunuri, J. (2022). Artificial intelligence and the changing landscape of accounting: a viewpoint. Pacific Accounting Review, 34(4), 585-594.
Kotb, A., Roberts, C., & Stoner, G. (2013). E-business in accounting education in the UK and Ireland: Influences on inclusion in the curriculum. The International Journal of Management Education, 11(3), 150-162.
KPMG. (2018). KPMG applying IBM artificial intelligence to help businesses efficiently meet IFRS 16 lease account requirements. KPMG Reporting News. Retrieved April 8, 2024, from https://assets.kpmg.com/content/dam/kpmg/nz/pdf/April/DPP_Reporting_News_Issue%202-3_April_2018.pdf.
Li, K., Mai, F., Shen, R., Yang, C., & Zhang, T. (2024). Dissecting corporate culture using generative AI – Insights from analyst reports. Available at SSRN 4558295.
Lo, A. W., & Ross, J. (2024). Can ChatGPT plan your retirement?: Generative AI and financial advice. Available at SSRN 4722780.
Loughran, T., & McDonald, B. (2011). When is a liability not a liability? Textual analysis, dictionaries, and 10‐Ks. The Journal of finance, 66(1), 35-65.
Marques, Joan F. (2023, May 24). The fascinating path ahead for business schools. AACSB Insights. https://www.aacsb.edu/insights/articles/2023/05/the-fascinating-path-ahead-for-business-schools.
McKinsey. (2022). What are Industry 4.0, the Fourth Industrial Revolution, and 4IR?. Retrieved April 5, 2024, from https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-are-industry-4-0-the-fourth-industrial-revolution-and-4ir.
Moll and Yigitbasioglu, 2019, The role of internet-related technologies in shaping the work of accountants: new directions for accounting research, British Accounting Review.
Moll, J., & Yigitbasioglu, O. (2019). The role of internet-related technologies in shaping the work of accountants: New directions for accounting research. The British accounting review, 51(6), 100833.
Mordor Intelligence. (2024). AI in accounting market size & share analysis – Growth trends & forecasts (2024-2029). Retried April 6, 2024, from https://www.mordorintelligence.com/industry-reports/artificial-intelligence-in-accounting-market.
Ng, C., & Alarcon, J. (2021). Artificial Intelligence in Accounting : Practical Applications. (1st ed.). Taylor & Francis Group.
Nickerson, M. A. (2019). AI: New risks and rewards. Strategic Finance, 1-11.
Onwuegbuzie, A. J., Frels, R. K., & Hwang, E. (2016). Mapping Saldana's Coding Methods onto the Literature Review Process. Journal of Educational Issues, 2(1), 130-150.
Pathak, J., Vidyarthi, N., & Summers, S. L. (2005). A fuzzy‐based algorithm for auditors to detect elements of fraud in settled insurance claims. Managerial auditing journal, 20(6), 632-644.
Petkov, R. (2020). Artificial intelligence (AI) and the accounting function—A revisit and a new perspective for developing framework. Journal of Emerging Technologies in Accounting, 17(1), 99-105.
PwC. (2015). Data driven: What students need to succeed in a rapidly changing business world. Retrieved April 18, 2024, from https://www.pwc.com/us/en/faculty-resource/assets/PwC-Data-driven-paper-Feb2015.pdf.
PwC. (2018). Harnessing the power of AI to transform the detection of fraud and error. Retrieved April 23, 2024, from https://www.pwc.com/gx/en/about/stories-from-across-the-world/harnessing-the-power-of-ai-to-transform-the-detection-of-fraud-and-error.html.
Qasim, A., & Kharbat, F. F. (2020). Blockchain technology, business data analytics, and artificial intelligence: Use in the accounting profession and ideas for inclusion into the accounting curriculum. Journal of Emerging Technologies in Accounting, 17(1), 107-117.
Ranta, M., Ylinen, M., & Järvenpää, M. (2023). Machine learning in management accounting research: Literature review and pathways for the future. European Accounting Review, 32(3), 607-636.
Schwab, K. (2017). The fourth industrial revolution. Crown Business.
Tapis, G. P., & Priya, K. (2020). Developing and assessing data analytics courses: A continuous proposal for responding to AACSB standard A5. Journal of Emerging Technologies in Accounting, 17(1), 133-141.
Templier, M., & Paré, G. (2015). A framework for guiding and evaluating literature reviews. Communications of the Association for Information Systems, 37(1), 6.
Walker, S. P. (2016). Revisiting the roles of accounting in society. Accounting, organizations and society, 49, 41-50.
Wang, C. (2023). The Fourth Revolution. The UNESCO Courier. Retrieved April 5, 2024, from https://courier.unesco.org/en/articles/fourth-revolution.
Webb, M. (2024). Top Google searches 2023: What is the most searched thing on Google?. Retrieved April 5, 2024, from https://www.techopedia.com/top-google-searches-2023.
Wong, J. (2019, August 8). How AI is transforming business right now. EY. Retrieved April 23, 2024, from https://www.ey.com/en_gl/insights/innovation/how-ai-is-transforming-business-right-now.
Yang, D. C., & Vasarhelyi, M. (1993). The application of expert systems in libraries. The Journal of Academic Librarianship, 19(1), 45–46.
Zhang, C. A., Cho, S., & Vasarhelyi, M. (2022). Explainable artificial intelligence (XAI) in auditing. International Journal of Accounting Information Systems, 46, 100572.
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The impact of artificial intelligence and blockchain on the accounting profession. IEEE Access, 8, 110461-110477.
Published
2024-07-09
How to Cite
SRIREJEKI, Kiky; LIANG, Jian.
Artificial Intelligence in Accounting: Implications for Practices and Education.
SAR (Soedirman Accounting Review) : Journal of Accounting and Business, [S.l.], v. 9, n. 01, p. 99 - 110, july 2024.
ISSN 2598-0718.
Available at: <https://jos.unsoed.ac.id/index.php/sar/article/view/12512>. Date accessed: 17 sep. 2024.
doi: https://doi.org/10.32424/1.sar.2024.9.01.12512.
Section
Articles
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