Author
Listed:
- Necula Adina-Theodora
(Bucharest University of Economic Studies, Bucharest, Romania)
- Hurducaci Gorea Corina-Cătălina
(Bucharest University of Economic Studies, Bucharest, Romania)
- Nedelcu Bogdan
(Bucharest University of Economic Studies, Bucharest, Romania)
Abstract
The digitalization and sustainability trends are triggering changes in the accounting industry. Manual accounting methods tend to fail to scale in terms of complexity. The increasing focus on sustainability has further highlighted traditional accounting methods’ shortcomings in effectively measuring and reporting environmental, social, and governance (ESG) concerns. However, many AI accounting solutions are available; the integration of AI into most of the accounting systems is difficult. Concerns about data security, ethics, the usability of technology, and implementation costs pose significant obstacles. This paper seeks to address the deficiency of sustainable accounting and the adoption of AI by offering methods of achieving a shift towards sustainable digital accounting and presenting solutions to the problem by advising corporations and the government on the relationship between technology and sustainable policies. While AI has been applied in various fields, its integration into accounting, especially in the context of sustainability, remains an emerging area of research. Given the increasing emphasis on sustainability in corporate reporting and operations, understanding how AI can contribute to this shift is essential. Still, there are aspects AI integration such as ethical, technological, and regulatory compliance which remain to be understood. In this article, the authors are going to make use of a quantitative method based on data gathered from Web of Science to study AI and sustainable digital accounting. Using this approach, the study provides a fresh, data-driven perspective on the trends and challenges surrounding AI integration in accounting systems. The primary research question is: How can AI be utilized to transform sustainable accounting practices? Other objectives concern the evaluation of AI integration regarding the effectiveness and sustainability of the accounting practices and the concerns around adoption of AI. The findings of the study highlight that AI achieves greater accuracy, accountability as well as productivity in accounting procedures and simultaneously aids sustainable practices. These findings are relevant to organizations that are looking to implement AI into their accounting functions and to those responsible for policy formulated aimed at promoting sustainable initiatives in the corporate sector.
Suggested Citation
Necula Adina-Theodora & Hurducaci Gorea Corina-Cătălina & Nedelcu Bogdan, 2025.
"From Traditional Accounting to Sustainable Digital Accounting: The Role of Artificial Intelligence,"
Proceedings of the International Conference on Business Excellence, Sciendo, vol. 19(1), pages 138-152.
Handle:
RePEc:vrs:poicbe:v:19:y:2025:i:1:p:138-152:n:1003
DOI: 10.2478/picbe-2025-0014
Download full text from publisher
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:vrs:poicbe:v:19:y:2025:i:1:p:138-152:n:1003. 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.
We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.