Large Language Models (LLMs) technology, e.g., ChatGPT, is expected to reshape a broad spectrum of domains. Among them, the impact on user-generated knowledge-sharing (Q&A) communities is of particular interest because such communities are an important learning source of LLMs, and their future...

Online service marketplace consumers face more quality uncertainty due to the intangibility, variability, and unreturnable nature of the services sought, which potentially leads to the “lemons” problem (Akerlof 1970). To alleviate this problem, the platform employs refund options as quality...

This paper focuses on an essential, but previously underexplored, mechanism that underlies the operation of peer-to-peer (P2P) lending markets: lender-borrower matching. We model the formation of lender-borrower matches as an endogenous matching process in which agents strategically choose their...

A transportation network company (TNC) is an app-based, two-sided platform that matches passengers with vehicles through information sharing. In 2015, the Shanghai government introduced a policy to restrict taxi drivers' use of TNC apps during certain hours. We leverage this exogenous policy...

WeChat, an instant messaging app, is considered a mega app due to its dominance in terms of usage among Chinese smartphone users. Nevertheless, little is known about its externality in regard to the broader app market. Our work estimates the spillover effects of WeChat on the other top-50 most...

The mobile app of a transportation network company (TNC) allows the TNC platform to run aggressive and diverse sales promotion to help introducing new product to two sides of users. This paper examines how two-sided sales promotion affects drivers' willingness to use the TNC app and how the TNC...