Dutch Journal of Finance and Management

Data Analytics in Management Accounting: A Bibliometric Analysis
Moussa Benikhlef 1, Mohammed Chawki Habi 1 *
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1 Abou Bekr Belkaid University of Tlemcen, Tlemcen , Algeria
* Corresponding Author
Research Article

Dutch Journal of Finance and Management, 2026 - Volume 9 Issue 2, Article No: 48215
https://doi.org/10.55267/djfm/19653

Published Online: 23 Oct 2026

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APA 6th edition
In-text citation: (Benikhlef & Habi, 2026)
Reference: Benikhlef, M., & Habi, M. C. (2026). Data Analytics in Management Accounting: A Bibliometric Analysis. Dutch Journal of Finance and Management, 9(2), 48215. https://doi.org/10.55267/djfm/19653
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Benikhlef M, Habi MC. Data Analytics in Management Accounting: A Bibliometric Analysis. DUTCH J FINANCE MANA. 2026;9(2):48215. https://doi.org/10.55267/djfm/19653
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Benikhlef M, Habi MC. Data Analytics in Management Accounting: A Bibliometric Analysis. DUTCH J FINANCE MANA. 2026;9(2), 48215. https://doi.org/10.55267/djfm/19653
Chicago
In-text citation: (Benikhlef and Habi, 2026)
Reference: Benikhlef, Moussa, and Mohammed Chawki Habi. "Data Analytics in Management Accounting: A Bibliometric Analysis". Dutch Journal of Finance and Management 2026 9 no. 2 (2026): 48215. https://doi.org/10.55267/djfm/19653
Harvard
In-text citation: (Benikhlef and Habi, 2026)
Reference: Benikhlef, M., and Habi, M. C. (2026). Data Analytics in Management Accounting: A Bibliometric Analysis. Dutch Journal of Finance and Management, 9(2), 48215. https://doi.org/10.55267/djfm/19653
MLA
In-text citation: (Benikhlef and Habi, 2026)
Reference: Benikhlef, Moussa et al. "Data Analytics in Management Accounting: A Bibliometric Analysis". Dutch Journal of Finance and Management, vol. 9, no. 2, 2026, 48215. https://doi.org/10.55267/djfm/19653
ABSTRACT
This study examines the evolution of research on data analytics in management accounting by identifying publication trends, influential contributors, collaboration networks, and emerging research themes. Using bibliometric methods, including performance analysis and science mapping, the study analyzes 129 articles published in Scopus-indexed journals between 2014 and 2025. The findings show that the literature is primarily centered on accounting information systems, big data, and artificial intelligence, while machine learning, blockchain technology, and cloud computing have emerged as significant directions for future investigation. By mapping the intellectual structure and thematic evolution of this research domain, the study provides a comprehensive overview of existing knowledge, identifies key research gaps, and proposes an integrative agenda for future research. These findings offer useful insights for both researchers and practitioners seeking to advance the application of data analytics in management accounting.
KEYWORDS
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