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AI in Accounting: Insights from a Bibliometric Analysis

Author

Listed:
  • Ani STOYKOVA

    (South-West University "Neofit Rilski", Blagoevgrad, Bulgaria)

Abstract

Artificial intelligence has ushered in a new era of technological innovation, fundamentally transforming various sectors, including accounting. As businesses increasingly operate in a data-driven environment, the demand for real-time financial analysis and predictive insights has surged. This study aims to perform a bibliometric literature analysis focusing on significant literature, countries, authors, keywords, thematic evolution, citations, and documents, which researchers can reference in future studies related to the implementation of AI in accounting. VOSviewer software tool is used to create various maps based on the bibliographic data. The dataset was extracted from the Scopus database. Citation analysis, bibliographic coupling analysis, co-citation analysis, and co-occurrence analysis of author keywords are conducted. The analysis shows a sharp increase in research on AI and accounting from 2019, with 72 publications in 2023 and 66 publications by mid-2024, indicating rising interest and progress in this field. The bibliometric analysis reveals the dominant role of the United States in AI and accounting research. The co-occurrence analysis of author keywords shows important themes and their connections in AI and accounting, with artificial intelligence being the central theme, closely linked with other key concepts like accounting, machine learning, and big data. The findings underscore the practical implications of AI integration in accounting, emphasizing its potential to enhance efficiency, accuracy, and strategic decision-making in financial practices.

Suggested Citation

  • Ani STOYKOVA, 2024. "AI in Accounting: Insights from a Bibliometric Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(8), pages 56-71, August.
    • Handle: RePEc:ahd:journl:v:5:y:2024:i:8:p:56-71
    DOI: 10.37945/cbr.2024.08.07
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    References listed on IDEAS

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    1. Michael Kend & Lan Anh Nguyen, 2020. "Big Data Analytics and Other Emerging Technologies: The Impact on the Australian Audit and Assurance Profession," Australian Accounting Review, CPA Australia, vol. 30(4), pages 269-282, December.
    2. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
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    5. Han, Hongdan & Shiwakoti, Radha K. & Jarvis, Robin & Mordi, Chima & Botchie, David, 2023. "Accounting and auditing with blockchain technology and artificial Intelligence: A literature review," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    6. Susanne Leitner-Hanetseder & Othmar M. Lehner & Christoph Eisl & Carina Forstenlechner, 2021. "A profession in transition: actors, tasks and roles in AI-based accounting," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 22(3), pages 539-556, February.
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    9. Ovidiu-Constantin BUNGET & Cristian LUNGU, 2023. "A Bibliometric Analysis of the Implications of Artificial Intelligence on the Accounting Profession," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 4(5), pages 65-72, May.
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    More about this item

    Keywords

    accounting; artificial intelligence; bibliometric analysis; literature review;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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