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Article . 2026
License: CC BY
Data sources: ZENODO
Global Journal of Economic and Finance Research
Article . 2026 . Peer-reviewed
Data sources: Crossref
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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Management Accounting - From Manual Bookkeeping to Artificial Intelligence (AI)

Authors: Viet Anh Tran;

Management Accounting - From Manual Bookkeeping to Artificial Intelligence (AI)

Abstract

Over the past half century, management accounting has undergone profound transformations, shifting from manual, experience-driven bookkeeping grounded in intuition to integrated data-analytic models enhanced by artificial intelligence (AI). This evolution is not merely a matter of tools or technologies, but a reconfiguration of how enterprises conceive information, manage risk, and formulate decisions. This article examines the trajectory of management accounting within the broader movement of digital transformation, contrasting traditional and contemporary approaches while illuminating the enduring essence of “numerical discipline” the core value that safeguards transparency across all accounting systems. Through theoretical analysis, a review of relevant research, the development of a renewed analytical framework, and an in-depth discussion of AI’s implications, the paper argues that the future of management accounting lies not in a contest between humans and machines, but in the harmonious integration of traditional principles with modern technologies.

Keywords

management accounting, AI, data, internal control, corporate governance, numerical discipline.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average