Online recommendation systems recommend products with widely different prices than that of their focal products. While conventional wisdom suggests that consumers may prefer lower priced recommendations, prior literature also indicates that consumers may not accept such products if their prices...

We study product recommendations in an online environment where a firm provides strategic product recommendations to consumers. We develop an analytical framework to integrate recommendations into the consumer product search process. The firm sells two imperfectly substitutable products with...

Online behavioral advertising, on websites and in online applications, requires companies to make intricate trade-offs between promises of increased revenue and potential risks for alienation of consumers. To guide companies in making such trade-offs, we answer the research question: How do...

I study a platform-mediated two-sided matching with incomplete information. Platform users voluntarily disclose their taste information to the platform, and the platform aggregates and redistributes the collected information back to each user before they form matches. I characterize conditions...

Online reviews and trust cues are two core aspects of e-commerce. Based on these features, users can make informed decisions about the products and services they buy online. Although prior studies have investigated on various review characteristics, the writing style has been examined less...

As recommendation algorithms have been increasingly applied to content personalization services, scholars are voicing concern about the negative impacts of these algorithms, for instance filter bubbles and ideological polarization. This research attempts to analyze the various factors...