Consumer Fraud in Online Shopping: Detecting Risk Indicators through Data Mining-Reference-Cited by-同舟云学术

Consumer Fraud in Online Shopping: Detecting Risk Indicators through Data Mining

Published:2022-06-24 Issue:3 Volume:26 Page:388-411
ISSN:1086-4415
Container-title:International Journal of Electronic Commerce
language:en
Short-container-title:International Journal of Electronic Commerce

Author:

Knuth Tobias¹,Ahrholdt Dennis C.²

Affiliation:

1. FOM University of Applied Sciences, Schäferkampsallee 16a, 20357 Hamburg Germany

2. Department Marketing Transformation, HSBA Hamburg School of Business Administration, Willy-Brandt-Straße 75, 20459 Hamburg Germany

Publisher

Informa UK Limited

Subject

Economics and Econometrics,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/10864415.2022.2076199

Reference72 articles.

1. Browne, R. “Criminals love buy now, pay later”: How fraudsters exploit popular interest-free payment plans. (2021), https://www.cnbc.com/2021/11/18/criminals-exploit-buy-now-pay-later-services-like-klarna-and-afterpay.html (Accessed on 10.03.2022).

2. A data mining based system for credit-card fraud detection in e-tail

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