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AI-enabled price discrimination: A competition law and economics perspective

Research output: Thesis › Doctoral Thesis › Internal

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Abstract

The rise of business models based on the collection and processing of Big Data allows undertakings to offer customers different prices for the same goods at precisely the same time. This technique is called “AI-enabled price discrimination”. This thesis delves into the economic rationale and technical mechanism of AI-enabled price discrimination in digital markets and compares the legal consequences of (AI-enabled) price discrimination under EU and Chinese competition law (and beyond). This thesis also evaluates whether current legal regimes can effectively tackle concerns caused by anticompetitive and welfare- reducing AI-enabled price discrimination, and provides policy suggestions to the two jurisdictions for considering (AI-enabled) price discrimination as an infringement of competition law (and beyond).
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Maastricht University
Supervisors/Advisors
  • Philipsen, Niels, Supervisor
  • Cauffman, Caroline, Supervisor
Award date26 Mar 2024
Place of PublicationMaastricht
Publisher
Print ISBNs9789464697698
DOIs
Publication statusPublished - 2024

Keywords

  • AI-enabled Price Discrimination
  • Competition Law
  • Law and Economics
  • Comparative Analysis

Access to Document

  • Full TextFinal published version, 4.51 MB
  • SummaryFinal published version, 1.49 MB
  • PropositionsFinal published version, 522 KB
  • CoverFinal published version, 63.5 KB
  • ImpactFinal published version, 1.49 MB

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    • 1 PhD (co-) supervision / assessment committee - internal promotion

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