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Citation link: https://doi.org/10.26092/elib/1511
PDF_Diginomics Working Paper - April 2022, No0014.pdf
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Machine Learning in Accounting Research


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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 
Band: 0014
Type: Bericht, Report
ISSN: 2701-6307
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

  

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