Managing Congestion in a Matching Market via Demand Information Disclosure

Information Systems Research, forthcoming

51 Pages Posted: 30 Jan 2020 Last revised: 30 Oct 2022

See all articles by Ni Huang

Ni Huang

Miami Herbert Business School, University of Miami

Gordon Burtch

Boston University - Questrom School of Business

Yumei He

Tulane University

Yili Hong

University of Miami Herbert Business School

Date Written: July 1, 2022

Abstract

Congestion is a common issue in digital platform markets, wherein users tend to focus their attention on a subset of popular peers. We examine this issue in the context of online dating, considering the potential efficacy of an informational intervention, namely the disclosure of peers’ recent demand. In doing so, we first note that the benefits of disclosing demand information are not altogether clear in this context, a priori, because dating platforms are distinct from other platforms in several important respects. On the one hand, dating platforms facilitate social relationships, rather than trade in goods and services. Therefore, they operate on different norms and typically lack common levers that platform operators employ to balance supply and demand, such as pricing mechanisms and reputation systems. Dating app users may therefore pay greater attention to the quality implications of peer demand information, worsening congestion. On the other hand, demand information disclosure may be atypically effective at mitigating congestion in a dating context because, in addition to opportunity costs of time and effort daters also bear fears of social rejection, leading them to shy away from in-demand peers. We evaluate our treatment’s efficacy in mitigating congestion and improving matching efficiency, conducting a randomized field experiment at a large mobile dating platform. Our results show that the intervention is particularly effective at improving matching efficiency when presented in tandem with a textual message-framing cue that highlights the capacity implications of the peer demand information. Heterogeneity analyses further indicate that these effects are driven primarily by those users who most contend with congestion in the form of competition, namely male users and those who rely more heavily upon outbound messages for matches.

Keywords: information disclosure, congestion, matching efficiency, online dating, platform design

Suggested Citation

Huang, Ni and Burtch, Gordon and He, Yumei and Hong, Yili, Managing Congestion in a Matching Market via Demand Information Disclosure (July 1, 2022). Information Systems Research, forthcoming, Available at SSRN: https://ssrn.com/abstract=3514033 or http://dx.doi.org/10.2139/ssrn.3514033

Ni Huang

Miami Herbert Business School, University of Miami ( email )

United States

HOME PAGE: http://nihuang.me/

Gordon Burtch

Boston University - Questrom School of Business ( email )

595 Commonwealth Avenue
Boston, MA 02215
United States

Yumei He

Tulane University ( email )

6823 St Charles Ave
New Orleans, LA 70118
United States

Yili Hong (Contact Author)

University of Miami Herbert Business School ( email )

P.O. Box 248126
Florida
Coral Gables, FL 33124
United States

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