Machine Learning in Accounting Research
File | Description | Size | Format | |
---|---|---|---|---|
PDF_Diginomics Working Paper - April 2022, No0014.pdf | 948.31 kB | Adobe PDF | View/Open |
Authors: | Fieberg, Christian ![]() Hesse, Matthies Loy, Thomas ![]() Metko, Daniel |
Publisher: | Diginomics Research Group | Abstract: | We present a compact overview of machine learning applications in financial accounting and audit research as well as management accounting research. Here, the application of machine learning has the potential to provide novel insights into empirical data and to improve predictive performance. We highlight the potential use of deep learning to process unstructured and structured data more efficiently and a greater focus on model interpretability as viable opportunities for future research. |
Keywords: | Machine Learning; Accounting | Issue Date: | 26-Apr-2022 | Series: | Diginomics Working Paper | Volume: | 0014 | Type: | Bericht, Report | ISSN: | 2701-6307 | Secondary publication: | no | DOI: | 10.26092/elib/1511 | URN: | urn:nbn:de:gbv:46-elib59064 | Institution: | Universität Bremen | Faculty: | Fachbereich 07: Wirtschaftswissenschaft (FB 07) | Institute: | Diginomics Research Group |
Appears in Collections: | Forschungsdokumente |
Page view(s)
439
checked on Apr 2, 2025
Download(s)
840
checked on Apr 2, 2025
Google ScholarTM
Check
This item is licensed under a Creative Commons License