Online matching platforms that lack common informational mechanisms such as ratings and reviews often resort to mandatory verification of their users to enhance credibility. However, such mandatory verification may suppress the transmission of useful information for individual users. This study...

Using detailed social broadcasting data from an online charitable giving campaign on Twitter, we evaluate two competing models of economic incentives on online pro-social behavior. Specifically, we focus on the effectiveness of gratitude-embedded messages on online charitable giving behavior,...

Research on recommender systems mainly focuses on product recommendations where the recommendations are primarily based on buyers’ preferences. However, user recommendation in two-sided matching markets where potential matches’ preferences may also play a role in the focal user’s...