Centres Of Excellence

To focus on new and emerging areas of research and education, Centres of Excellence have been established within the Institute. These ‘virtual' centres draw on resources from its stakeholders, and interact with them to enhance core competencies

Read More >>

Faculty

Faculty members at IIMB generate knowledge through cutting-edge research in all functional areas of management that would benefit public and private sector companies, and government and society in general.

Read More >>

IIMB Management Review

Journal of Indian Institute of Management Bangalore

IIM Bangalore offers Degree-Granting Programmes, a Diploma Programme, Certificate Programmes and Executive Education Programmes and specialised courses in areas such as entrepreneurship and public policy.

Read More >>

About IIMB

The Indian Institute of Management Bangalore (IIMB) believes in building leaders through holistic, transformative and innovative education

Read More >>

Endogenous Data Collection in Platform Markets: Privacy and Welfare,

Gaurav Jakhu and Prabal Roy Chowdhury
Journal Name
Production and Operations Management
Journal Publication
Financial Times 50
others
Publication Year
2025
Journal Publications Functional Area
Economics
Publication Date
Vol. 34(9), September 2025, Pg. 2700-2719
Abstract

Dominant online platforms are increasingly collecting user-specific data across multiple markets, raising red flags as regards privacy, as well as potential anti-competitive abuses. We analyze competition among two platforms, with one platform collecting data in market 1 where it is dominant, using it to improve its competitive edge in market 2 where it competes in both prices and advertisements with the other platform. Our analysis unearths a novel anti-competitive effect of competition—that increased market 2 competition may increase the dominant firm’s market power in market 1, which in turn leads to several interesting results. First, that data collection by the dominant firm is increasing in market 2 competition. Second, efficiency of data collection is non-monotonic in the level of competition; being, from a welfare perspective, excessive (respectively low) whenever market competition is at an intermediate level (respectively weak). We then use this framework to examine several policy proposals—user control of data, blocking data-driven mergers, restricting data collection, and allowing data-sharing—deriving actionable prescriptions for managers and policymakers. For example, in markets with effective ad-targeting, we find that user control of data decreases data collection, thus improving privacy, if and only if competition is strong.

Endogenous Data Collection in Platform Markets: Privacy and Welfare,

Author(s) Name: Gaurav Jakhu and Prabal Roy Chowdhury
Journal Name: Production and Operations Management
Volume: Vol. 34(9), September 2025, Pg. 2700-2719
Year of Publication: 2025
Abstract:

Dominant online platforms are increasingly collecting user-specific data across multiple markets, raising red flags as regards privacy, as well as potential anti-competitive abuses. We analyze competition among two platforms, with one platform collecting data in market 1 where it is dominant, using it to improve its competitive edge in market 2 where it competes in both prices and advertisements with the other platform. Our analysis unearths a novel anti-competitive effect of competition—that increased market 2 competition may increase the dominant firm’s market power in market 1, which in turn leads to several interesting results. First, that data collection by the dominant firm is increasing in market 2 competition. Second, efficiency of data collection is non-monotonic in the level of competition; being, from a welfare perspective, excessive (respectively low) whenever market competition is at an intermediate level (respectively weak). We then use this framework to examine several policy proposals—user control of data, blocking data-driven mergers, restricting data collection, and allowing data-sharing—deriving actionable prescriptions for managers and policymakers. For example, in markets with effective ad-targeting, we find that user control of data decreases data collection, thus improving privacy, if and only if competition is strong.