Personalized Pricing as a Form of Price Discrimination Based on Behavior in E-Commerce from the Perspective of Business Competition Law

This chapter examines personalized pricing in e-commerce as a form of behavioral price discrimination and evaluates its implications for Indonesia’s business competition law. It argues that algorithm-driven personalized pricing, enabled by big data and consumer profiling, aligns with first-degree price discrimination and may create risks of behavioral exploitation that challenge the fairness principles as stipulated in Law Number 5 of 1999. Despite its economic justification as an efficient strategy, the practice potentially violates the prohibition against unjustified discriminatory pricing when consumers in similar circumstances receive different prices without objective grounds. Using a doctrinal legal method through statutory and conceptual analysis, the chapter is aimed to assess to what extent personalized pricing fits within existing legal norms and underscores the need for clearer regulatory guidance to address discriminatory algorithmic pricing in e-commerce.

Authors

Institutions

Publication Details

Journal
Integrative Perspectives of Social and Science Journal
Published
2026-10-13
Primary Topic
Diverse Legal and Medical Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Personalized Pricing as a Form of Price Discrimination Based on Behavior in E-Commerce from the Perspective of Business Competition Law

Ham Young
Integrative Perspectives of Social and Science Journal
Diverse Legal and Medical Studies
article

Personalized Pricing as a Form of Price Discrimination Based on Behavior in E-Commerce from the Perspective of Business Competition Law

Ham Young
article en

Abstract

This chapter examines personalized pricing in e-commerce as a form of behavioral price discrimination and evaluates its implications for Indonesia’s business competition law. It argues that algorithm-driven personalized pricing, enabled by big data and consumer profiling, aligns with first-degree price discrimination and may create risks of behavioral exploitation that challenge the fairness principles as stipulated in Law Number 5 of 1999. Despite its economic justification as an efficient strategy, the practice potentially violates the prohibition against unjustified discriminatory pricing when consumers in similar circumstances receive different prices without objective grounds. Using a doctrinal legal method through statutory and conceptual analysis, the chapter is aimed to assess to what extent personalized pricing fits within existing legal norms and underscores the need for clearer regulatory guidance to address discriminatory algorithmic pricing in e-commerce.

Integrative Perspectives of Social and Science Journal
University of Brawijaya (ID)
Openalex Percentile: Top 8%
Diverse Legal and Medical Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.