---
title: Accounting Journals: Research and Practice
url: https://www.ml-quant.com/papers/repec/eme-jalpps-jal-03-2023-0047/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eme:jalpps:jal-03-2023-0047
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJAL-03-2023-0047%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajalpps%3Ajal-03-2023-0047
featured: 2024-06-20
citations: unknown
topic: ML & AI Methods
---


# Accounting Journals: Research and Practice

Research and Practice: The study uses machine learning to highlight a significant gap between academic research and practical application in accounting, more so in the US than Europe.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.emerald.com%2Finsight%2Fcontent%2Fdoi%2F10.1108%2FJAL-03-2023-0047%2Ffull%2Fhtml%3Futm_source%3Drepec%26utm_medium%3Dfeed%26utm_campaign%3Drepec%3Bh%3Drepec%3Aeme%3Ajalpps%3Ajal-03-2023-0047
- Identifier: RePEc:eme:jalpps:jal-03-2023-0047
- Released: 2023-05-28
- First featured: Quant Letter No. 54 (2024-06-20): https://www.ml-quant.com/issues/2024-06-20/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods

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