Many online platforms have used information technology such as AI to reduce consumers’ information search cost and facilitate their decision-making. Given the variety of online information, such technology is often effective for only specific information types. For rational consumers, search...

Online platforms often face challenges being both fair (i.e., non-discriminatory) and efficient (i.e., maximizing revenue). Using computer vision algorithms and observational data from a microlending marketplace, we find that choices made by borrowers creating online profiles impact both of...

Purpose In this paper, the authors study the effect of consumers' fairness preferences on dynamic pricing strategies adopted by platforms in a non-cooperative game. Design/methodology/approach This study applies fair game and repeated game theory. Findings This study reveals that, in a one-shot...

Although fake online customer reviews have become prevalent on platforms such as Amazon, Google, and Facebook, little is known about how these reviews influence consumer behavior. This paper provides the first experimental estimates of the effects of fake reviews on individual demand and...