Using interpretable machine learning for accounting fraud detection : a multi-user perspective
Year of publication: |
2023
|
---|---|
Authors: | Lösse, Leonhard J. ; Weißenberger, Barbara E. |
Published in: |
Die Unternehmung : Swiss journal of business research and practice ; Organ der Schweizerischen Gesellschaft für Betriebswirtschaft (SGB). - Baden-Baden : Nomos, ISSN 0042-059X, ZDB-ID 204030-X. - Vol. 77.2023, 2, p. 113-133
|
Subject: | Accounting Fraud | Machine Learning | Interpretability | Fraud Detection | Audit | Enforcement | Künstliche Intelligenz | Artificial intelligence | Betrug | Fraud | Wirtschaftskriminalität | Economic crime | Betriebswirtschaftsstudium | Graduate business education | Bilanzdelikt | Accounting fraud | Lehrplan | Curriculum | Wirtschaftsprüfung | Financial audit |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Zusammenfassung in deutscher Sprache |
Other identifiers: | 10.5771/0042-059X-2023-2-113 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Forensic accounting and incidence of fraud detection : evidence from Nigeria
Umar, Bello, (2020)
-
Forensic Accounting (A Great Weapon Against Accounting Frauds and Malpractices in Corporate World)
Pawar, H., (2014)
-
Widnyana, I Wayan, (2022)
- More ...
-
Weißenberger, Barbara E., (2020)
-
Culture follows design: Code design as an antecedent of the ethical culture
Stöber, Thomas, (2018)
-
Kotzian, Peter, (2021)
- More ...