EXPRESS: Consumer Privacy Concerns, Multihoming, and Platform Competition in Two-sided Markets

User data is central to the operations of many online platforms, enabling personalized services for users and targeted advertising for advertisers. However, as users become increasingly aware of privacy issues associated with platform usage, they may alter their usage levels and engagement patterns, such as switching between singlehoming (using one platform exclusively) and multihoming (using multiple platforms). These shifts in user behavior are not only reshaping platform dynamics but also creating ripple effects for advertisers. In this study, we develop a game-theoretic model to explore how privacy concerns influence user strategies, advertiser decisions, and platform performance, and to assess the effectiveness of common privacy practices implemented by platforms. Our analysis generates several interesting insights. First, we demonstrate that as privacy concerns increase, users are motivated to shift from singlehoming to multihoming, especially when their privacy concerns are relatively low. This shift occurs because multihoming allows users to limit their data exposure on any single platform, thereby reducing the potential for platforms to exploit their data in depth. Second, we find that heightened privacy concerns can unexpectedly benefit platforms by increasing user traffic and aggregate usage, which makes platforms more appealing to advertisers and increases advertiser demand. Third, our analysis reveals that increased privacy concerns can reduce the market dominance of the large platform with strong data capabilities, narrowing the gap in market share between competing platforms. Furthermore, we discuss important managerial and policy implications regarding partial data use and privacy protection, offering insights into how platforms can balance user privacy and platform performance. Finally, we extend our model in several directions to demonstrate the robustness of our key findings and obtain additional insights.

Authors

Publication Details

Journal
Production and Operations Management
Published
2026-09-04
DOI
https://doi.org/10.1177/10591478261483184
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPRESS: Consumer Privacy Concerns, Multihoming, and Platform Competition in Two-sided Markets

Yugang Yu, Wei Thoo Yue, Xin Zhang, Hong Xu
Production and Operations Management
Digital Platforms and Economics
article

EXPRESS: Consumer Privacy Concerns, Multihoming, and Platform Competition in Two-sided Markets

Yugang Yu, Wei Thoo Yue, Xin Zhang, Hong Xu
article en

Abstract

User data is central to the operations of many online platforms, enabling personalized services for users and targeted advertising for advertisers. However, as users become increasingly aware of privacy issues associated with platform usage, they may alter their usage levels and engagement patterns, such as switching between singlehoming (using one platform exclusively) and multihoming (using multiple platforms). These shifts in user behavior are not only reshaping platform dynamics but also creating ripple effects for advertisers. In this study, we develop a game-theoretic model to explore how privacy concerns influence user strategies, advertiser decisions, and platform performance, and to assess the effectiveness of common privacy practices implemented by platforms. Our analysis generates several interesting insights. First, we demonstrate that as privacy concerns increase, users are motivated to shift from singlehoming to multihoming, especially when their privacy concerns are relatively low. This shift occurs because multihoming allows users to limit their data exposure on any single platform, thereby reducing the potential for platforms to exploit their data in depth. Second, we find that heightened privacy concerns can unexpectedly benefit platforms by increasing user traffic and aggregate usage, which makes platforms more appealing to advertisers and increases advertiser demand. Third, our analysis reveals that increased privacy concerns can reduce the market dominance of the large platform with strong data capabilities, narrowing the gap in market share between competing platforms. Furthermore, we discuss important managerial and policy implications regarding partial data use and privacy protection, offering insights into how platforms can balance user privacy and platform performance. Finally, we extend our model in several directions to demonstrate the robustness of our key findings and obtain additional insights.

Production and Operations Management
Openalex Percentile: Top 7%
Digital Platforms and Economics
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.