Yapay Zekâ Kullanımının Muhasebe Mesleğine Etkileri: İstanbul Serbest Muhasebeci Mali Müşavirler Odası Üyeleri Üzerine Bir Araştırma

Bu çalışmanın amacı, muhasebe meslek mensuplarının muhasebe uygulamalarında yapay zekâ kullanımına yönelik farkındalık ve algılarını analiz etmek ve meslek mensuplarının kişisel özelliklerinin muhasebe uygulamalarında yapay zekâ kullanımına yönelik farkındalık ve algıları üzerinde anlamlı bir etkiye sahip olup olmadığını belirlemektir. Bu araştırma hem betimsel hem de analitiktir. Araştırmanın betimsel kısmı, meslek mensuplarının muhasebe uygulamalarında yapay zekâ kullanımına ilişkin farkındalıklarını ve algılarını içermektedir. Analitik kısımda ise, muhasebecilerin cinsiyet, yaş, eğitim, uzmanlık alanı ve iş deneyimi gibi özellikleri ile yapay zekâ kullanımı konusundaki farkındalıkları ve algıları arasındaki korelasyon incelenmiştir. Türkçe olarak hazırlanmış olan anket İstanbul Serbest Muhasebeci Mali Müşavirler Odası aracılığıyla meslek mensuplarıyla paylaşılmıştır. Alınan 155 yanıt kapsamında, meslek mensuplarının muhasebe uygulamalarında yapay zekâ kullanımı konusunda farkındalıklarının yüksek olduğu ve algılarının destekleyici yönde olduğu anlaşılmıştır. T-test ve ANOVA sonuçlarına göre, meslek mensuplarının kişisel özelliklerinin, muhasebede yapay zeka uygulamalarına ilişkin farkındalık ve algıları üzerinde anlamlı bir etkisi olmadığı sonucuna ulaşılmıştır.

Effects of Using Artificial Intelligence on the Accounting Profession: Evidence from Istanbul Certified Public Accountants

This study aims to analyze the accountants’ awareness and perception of using artificial intelligence in accounting practices and determine whether the characteristics of accountants significantly affect their awareness and perception of using artificial intelligence in accounting practices. This research is both descriptive and analytical. The descriptive part of the research covered the accountants’ awareness of using artificial intelligence in accounting and their perceptions of using it. The analytical part is about the correlation between accountants’ characteristics, such as gender, age, education, area of expertise, and work experience, and their awareness and perceptions of using artificial intelligence. A questionnaire is prepared in Turkish and shared with Certified Public Accountants in İstanbul through the İstanbul Chamber of Certified Public Accountants. Based on the 155 responses received, it was noted that accountants are highly aware of using Artificial Intelligence in accounting practices, and their perception is supportive. The t-test and ANOVA results showed that accountants' personal characteristics do not significantly impact their awareness and perception of using artificial intelligence in accounting practices.

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  • Albawwat, Ibrahim - Frijat, Yaser Al (2021), “An Analysis of Auditors’ Perceptions Towards Artificial Intelligence and Its Contribution to Audit Quality”, Accounting, 7(4), pp. 755-762.
  • Abdolmohammadi, M.J. (1991), “Factors Affecting Auditors’ Perceptions of Applicable Decision Aids for Various Audit Tasks”, Contemporary Accounting Research, 7(2), pp. 535–548.
  • Adiloglu, Burcu - Gungor, Nevzat (2019), “The Impact of Digitalization on the Audit Profession: A Review of Turkish Independent Audit Firms”, Journal of Business Economics and Finance, 8 (4), pp.209-214.
  • Bullock, Lara (2017), Big 4 Firm UPS Use of Robots in Audit Division, www.accountantsdaily.com.au/technology/10542-big-4-firm-utilising-robots-in-audit-division
  • Chukwudi, Odoh - Silas, Echefu – Boniface, Ugwuanyi - Chukwuani, Victoria (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, pp.1-11.
  • Chukwuani, Victoria Nnenna – Egiyi, Modesta Amaka (2020), “Automation of Accounting Processes: Impact of Artificial Intelligence”, International Journal of Research and Innovation in Social Science (IJRISS), 4, pp.444-449.
  • Dilek, Selma - Çakır, Hüseyin – Aydın, Mustafa (2015), “Applications Of Artificial Intelligence Techniques To Combating Cyber Crimes: A Review”, International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 6, No. 1.
  • Duong, Diem Chi Thi - Fledsberg, Kristine (2019), “Digitalization of the Accounting Industry”, University of Agder, Faculty of Business and Law, Department of Economics and Finance, Master Thesis.
  • Frank, Morgan R. - Autor, David - Bessen, James E. - Brynjolfsson, Erik - Cebrian, Manuel - Deming, David J. – Feldman, Maryann (2019), “Toward Understanding the Impact of Artificial Intelligence on Labor”, Proceedings of the National Academy of Sciences of the United States of America, 116 (14), pp. 6531–6539.
  • Gacar, Anıl (2019), “Yapay Zekâ ve Yapay Zekânın Muhasebe Mesleğine Olan Etkileri: Türkiye’ye Yönelik Fırsat ve Tehditler”, Balkan Sosyal Bilimler Dergisi , Volume: 8 Issue: EUREFE ’19, pp.389-394.
  • Greenman, Cindy (2017), “Exploring the Impact of Artificial Intelligence on the Accounting Profession”, Journal of Research in Business, Economics and Management, 8 (3), p.1451.
  • IASB, IFRS Framework, 2020, www.ifrs.org.
  • Institute of Chartered Accountants in England and Wales (ICAEW) 2017, “Artificial Intelligence and the Future of Accountancy”, www.icaew.com.
  • Lee, Cheah Saw - Tajudeen, Farzana Parveen (2020), “Usage and Impact of Artificial Intelligence on Accounting: Evidence from Malaysian Organisations”, Asian Journal of Business and Accounting, 13 (1).
  • Luan, Hui – Geczy, Peter – Lai, Hollis - Gobert, Janice - Stephen, JH Yang - Ogata, Hiroaki - Baltes, Jacky - Guerra, Rodrigo - Li, Ping – Tsai, Chin-Chung (2020), “Challenges and Future Directions of Big Data and Artificial Intelligence in Education”, Frontiers in Psychology, 11, Article ID: 580820.
  • Makridakis, Spyros (2017), “The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms”, Futures, 90, pp. 46–60.
  • McKinsey (2017), “Harnessing Automation for a Future That Works”, McKinsey, https://www.mckinsey.com/featured-insights/digital-disruption/harnessing-automation-for-a- future-that-works (10 April 2020).
  • Ologe, Sharon Oluwaseunlafunmi, (2020), Perceptions on the Use of Artificial Intelligence in Accounting: An Empirical Study among Accounting Professionals in Nigeria, Research Dissertation at Griffith College Dublin, https://go.griffith.ie/472/
  • Parlof, Roger (2016), “Why Deep Learning is Suddenly Changing Your Life”, Fortune, 29 September 2016, http://fortune.com/ai-artificial-intelligence-deep-machine-learning/.
  • Rîndașu, Sinsiana Maria (2017), “Emerging Information Technologies in Accounting and Related Security Risks – What is the Impact on the Romanian Accounting Profession”, Accounting and Management Information Systems Vol. 16, No. 4, pp. 581-609.
  • Shaffer, Kathie J. - Gaumer, Carol J. – Bradley, Kiersten P. (2020), “Artificial Intelligence Products Reshape Accounting: Time to Re-Train”, Development and Learning in Organizations: An International Journal, vol. 34 No. 6, pp. 41-43.
  • Stancheva-Todorova, Eleonora P. (2018), “How Artificial Intelligence Is Challenging Accounting Profession”, Journal of International Scientific Publications, 12, pp. 126– 141.
  • Şavlı, Tuba (2019), Bağımsız Denetim Rehberi, Huz Akademi, İstanbul.
  • Tiberius, Victor - Hirth, Stefanie (2019), “Impacts of digitization on auditing: A Delphi study for Germany”, Journal of International Accounting, Auditing and Taxation, Volume 42, March 2021, p.100288.
  • Ucoglu, Derya (2020), “Current Machine Learning Applications in Accounting and Auditing”, PressAcademia Procedia, 12, no. 1, pp.1-7.