CYCRJun 4, 2016

Exploring Risk and Fraud Scenarios in Affiliate Marketing Technologies from the Advertisers perspective

arXiv:1606.01428v14 citations
Originality Synthesis-oriented
AI Analysis

This addresses financial losses from fraud in e-commerce for advertisers, but it is incremental as it focuses on building a prototype based on identified risks.

The research identifies risks and fraud scenarios in affiliate marketing technologies from the advertiser's perspective, aiming to build a functional prototype to design and test solutions for controlling these risks.

Affiliate Marketing (AM) has become an important and cost effective tool for e-commerce. There are numerous risks and vulnerabilities that are typically associated with AM. Though a well-planned AM model can greatly benefit the e-commerce strategies of an enterprise, a haphazardly implemented system can expose a business enterprise to major risks and vulnerabilities, which can lead to great financial losses through fraudulent activities. This research-in-progress has identified some of the risks and the technical background of those scenarios. The research will now move on to build a functional prototype of an AM network to design and test solutions to control the identified risks.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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