Transforming Accounting through Artificial Intelligence: A Bibliometric Analysis of Trends, Challenges, and Opportunities

Riana Iren Radu, Gabriela Grosu and Cristina Barbu
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Riana Iren Radu: Dunarea de Jos University of Galati, Romania
Gabriela Grosu: The Body of Expert and Licensed Accountants of Romania (CECCAR)
Cristina Barbu: Dunarea de Jos University of Galati, Romania

Economics and Applied Informatics, 2025, issue 1, 47-56

Abstract: This paper investigates through an in-depth bibliometric research the transformative effect of artificial intelligence (AI) on the accounting profession. By analyzing more than 1,500 papers retrieved from the Web of Science database, the study reveals significant field-specific trends, emerging topics, and cooperative networks. Results highlight a significant increase in academic interest post-2020, with a focus on automating accounting processes, fraud detection, and cloud integration. The analysis reveals that countries such as the United States, China, and the United Kingdom lead global collaborations, contributing to the development of innovative solutions. The bibliometric methodology utilized, encompassing tools like RStudio and Bibliometrix, provided insights into temporal and geographic patterns, as well as thematic correlations. Key findings emphasize the dual role of AI in enhancing operational efficiency and redefining professional competencies within the field of accounting. However, challenges such as the lack of technological skills and data security risks remain prominent. This study underscores the need for an integrated approach combining technological innovation, ethical considerations, and continuous professional development to harness AI's potential fully. The findings offer valuable guidance for researchers and practitioners aiming to navigate the dynamic interplay between AI and accounting, fostering innovation and addressing global economic demands.

Keywords: Artificial Intelligence; accounting; bibliometric Analysis; technological innovation; global collaborations (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2025:i:1:p:47-56

DOI: 10.35219/eai15840409485

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