top of page

Digital Profiteering: Price Manipulation And Algorithmic Collusion In Online Marketplaces As Emerging Socio-Economic Offences




Adarsh Ray, Vivekananda Institute of Professional Studies, New Delhi


ABSTRACT


The pervasiveness of artificial intelligence and algorithmic pricing mechanisms on digital markets has posed new challenges for existing competition law paradigms. This article addresses the phenomenon of algorithmic collusion and dynamic pricing as new types of "digital profiteering", a term that goes beyond traditional descriptive phrases such as price manipulation to cover technology-enabled anti-competitive practices in electronic commerce.


Through doctrinal analysis of India's Competition Act, 2002, Consumer Protection Act, 2019, and Information Technology Act, 2000, this research expounds on significant enforcement loopholes of the Indian legal system. Comparative regulatory analysis of the European Union (Digital Markets Act), the United Kingdom (Competition and Markets Authority enforcement), and the United States (Federal Trade Commission and Department of Justice actions) provides alternative models for addressing algorithmic pricing.


The paper contends that algorithmic collusion, explicit or tacit, is a socio- economic offence requiring legislative action. A few suggestions are to amend Section 3(3) of the Competition Act to specifically include algorithmic behaviour, enforce algorithmic audit mandatory requirements, build institutional capacity in the Competition Commission of India, and define a consistent doctrine of "digital profiteering" that unifies competition law, consumer protection, and data governance laws.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

Submit Manuscript: Click here

Licensing: 

 

All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

Disclaimer:

The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

bottom of page