IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6632-d826696.html
   My bibliography  Save this article

Artificial Intelligence in the Accounting of International Busi-nesses: A Perception-Based Approach

Author

Listed:
  • Viorel-Costin Banța

    (Management Information Systems Department, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Sînziana-Maria Rîndașu

    (Management Information Systems Department, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, 010374 Bucharest, Romania)

  • Anca Tănasie

    (Department of Economics, Accounting and International Business, Faculty of Economics and Business Administration, University of Craiova, 200585 Craiova, Romania)

  • Dorian Cojocaru

    (Mechatronics and Robotics Department, Faculty of Automation, Computers and Electronics, University of Craiova, 200585 Craiova, Romania)

Abstract

Do accountants clearly understand the benefits and challenges of using AI? Do they perceive AI as a threat? The adoption of AI in the accounting field has increased significantly in the last few years. Since the techniques continue to evolve, more companies will integrate these solutions to facilitate the accounting processes. Therefore, the accountants’ skills should be adapted to efficiently use these solutions and continue to provide valuable support. This study explores the perception of accounting practitioners regarding the most important benefits and challenges of using AI-based technologies and analyses whether AI is being perceived as a threat that might impact employability. The data were collected during June–August 2021 using a questionnaire addressed to accounting practitioners from Romania. The exploratory research was conducted by statistically analysing the data collected. The results highlight that the practitioners have a clear understanding regarding the main benefits and challenges associated with the use of AI-based solutions in accounting processes, and AI is not perceived as a threat to employability; however, practitioners acknowledge that skills transformation is required and are willing to undergo the changes. By providing a glimpse of the main drivers that encourage accounting practitioners to embrace AI, employers, professional bodies and academia can address the main concerns and continue to support the practitioners in adapting their skills.

Suggested Citation

  • Viorel-Costin Banța & Sînziana-Maria Rîndașu & Anca Tănasie & Dorian Cojocaru, 2022. "Artificial Intelligence in the Accounting of International Busi-nesses: A Perception-Based Approach," Sustainability, MDPI, vol. 14(11), pages 1-12, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6632-:d:826696
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6632/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6632/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kexing Ding & Baruch Lev & Xuan Peng & Ting Sun & Miklos A. Vasarhelyi, 2020. "Machine learning improves accounting estimates: evidence from insurance payments," Review of Accounting Studies, Springer, vol. 25(3), pages 1098-1134, September.
    2. Sutton, Steve G. & Holt, Matthew & Arnold, Vicky, 2016. "“The reports of my death are greatly exaggerated”—Artificial intelligence research in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 60-73.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diego Valentinetti & Michele A. Reaa, 2023. "Intelligenza artificiale e accounting: le possibili relazioni," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(2), pages 93-116.
    2. Downen, Tom & Kim, Sarah & Lee, Lorraine, 2024. "Algorithm aversion, emotions, and investor reaction: Does disclosing the use of AI influence investment decisions?," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
    3. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
    4. Vicky Arnold, 2018. "The changing technological environment and the future of behavioural research in accounting," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(2), pages 315-339, June.
    5. Yunchuan Sun & Xiaoping Zeng & Ying Xu & Hong Yue & Xipu Yu, 2024. "An intelligent detecting model for financial frauds in Chinese A‐share market," Economics and Politics, Wiley Blackwell, vol. 36(2), pages 1110-1136, July.
    6. Jochen Fähndrich, 2023. "A literature review on the impact of digitalisation on management control," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 34(1), pages 9-65, March.
    7. Moll, Jodie & Yigitbasioglu, Ogan, 2019. "The role of internet-related technologies in shaping the work of accountants: New directions for accounting research," The British Accounting Review, Elsevier, vol. 51(6).
    8. Mika Ylinen & Mikko Ranta, 2024. "Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 247-276, March.
    9. Koreff, Jared & Weisner, Martin & Sutton, Steve G., 2021. "Data analytics (ab) use in healthcare fraud audits," International Journal of Accounting Information Systems, Elsevier, vol. 42(C).
    10. Booker, Adam & Chiu, Victoria & Groff, Nathan & Richardson, Vernon J., 2024. "AIS research opportunities utilizing Machine Learning: From a Meta-Theory of accounting literature," International Journal of Accounting Information Systems, Elsevier, vol. 52(C).
    11. Zhang, Chao & Zhu, Weidong & Dai, Jun & Wu, Yong & Chen, Xulong, 2023. "Ethical impact of artificial intelligence in managerial accounting," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    12. Gina Raluca Guse & Marian Dragos Mangiuc, 2022. "Digital Transformation in Romanian Accounting Practice and Education: Impact and Perspectives," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 24(59), pages 252-252.
    13. Eleonora P. Stancheva-Todorova, 2018. "How Artificial Intelligence Is Challenging Accounting Profession," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 12(1), pages 126-141.
    14. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
    15. Thorsten Sellhorn, 2020. "Machine Learning und empirische Rechnungslegungsforschung: Einige Erkenntnisse und offene Fragen [Machine Learning and Empirical Accounting Research: Some Findings and Open Questions]," Schmalenbach Journal of Business Research, Springer, vol. 72(1), pages 49-69, March.
    16. Sharbek Nermin, 2022. "How Traditional Financial Institutions have adapted to Artificial Intelligence, Machine Learning and FinTech?," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 837-848, August.
    17. Steen Nielsen, 2020. "Management accounting and the idea of machine learning," Economics Working Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
    18. Chiu, Victoria & Liu, Qi & Muehlmann, Brigitte & Baldwin, Amelia Annette, 2019. "A bibliometric analysis of accounting information systems journals and their emerging technologies contributions," International Journal of Accounting Information Systems, Elsevier, vol. 32(C), pages 24-43.
    19. Iwona Posadzińska & Małgorzata Grzeszczak, 2022. "Management Accounting System in the Management of an Intelligent Energy Sector Enterprise," Energies, MDPI, vol. 15(20), pages 1-17, October.
    20. Saxton, Gregory D. & Guo, Chao, 2020. "Social media capital: Conceptualizing the nature, acquisition, and expenditure of social media-based organizational resources," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6632-:d:826696. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.