Crowd-sourced manipulation and fraud detection : An action design research study in prediction markets
Year of publication: |
2021
|
---|---|
Authors: | Kloker, Simon |
Published in: |
The journal of prediction markets. - Buckingham : Univ. of Buckingham Press, ISSN 1750-6751, ZDB-ID 2388613-4. - Vol. 15.2021, 1, p. 11-34
|
Subject: | Betrug | Fraud | Prognoseverfahren | Forecasting model | Bilanzdelikt | Accounting fraud | Manipulation |
-
The usefulness of credit ratings for accounting fraud prediction
Huang, Allen, (2023)
-
Finding needles in a haystack : using data analytics to improve fraud prediction
Perols, Johan L., (2017)
-
Using machine learning to detect and forecast accounting fraud
Kondo, Satoshi, (2019)
- More ...
-
Analyzing prediction market trading behaviour to select Delphi-experts
Kloker, Simon, (2018)
-
Non-addictive Information Systems
Kloker, Simon, (2020)
-
Citizen Science in Information Systems Research
Weinhardt, Christof, (2020)
- More ...