Digital Transformation in Accounting: An Assessment of Automation and AI Integration
This study conducts a bibliometric analysis of the scientific literature on digital, automated, and AI-assisted accounting systems. The data include documents listed in the Web of Science and Scopus databases. The analysis identifies the main authors, countries/territories, sources, and thematic trends. The results reveal that the scientific output within this research field has increased since 2018, emphasising the integration of artificial intelligence (AI), robotic process automation, and blockchain technolog…
Bibliometric synthesis reports that automation in accounting enhances efficiency, accuracy, and reliability.
Findings are bounded by coverage of Web of Science and Scopus and by bibliometric method, which maps publication trends rather than measuring direct operational outcomes.
Evidence
- Peer-reviewedInternational Journal of Financial Studies2025-11-05
How should this claim be treated?
Truvace Impact Record TRV-2026-0552, v1: “Digital Transformation in Accounting: An Assessment of Automation and AI Integration.” Truvace, 2026-07-24. /record/TRV-2026-0552 (accessed at citation time). sha256 a0ee6d86a90d8af8…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0552 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace