Online labor markets and the humans that power them serve a critical role in the advancement of artificial intelligence and supervised machine learning via the creation of high-quality training datasets. The use of human effort in online labor markets is not enough, however, as a key factor is...

Recommender systems are becoming a salient part of many e-commerce websites. Much research has focused on advancing recommendation technologies to improve accuracy of predictions, while behavioral aspects of using recommender systems are often overlooked. In our studies, we explore how consumer...

Online retailers use product ratings to signal quality and help consumers identify products for purchase. These ratings commonly take the form of either non-personalized, aggregate product ratings (i.e., the average rating a product received from a number of consumers such as “the average...

With increasing consumer interest in “research online, purchase offline” (ROPO), brick-and-mortar retailers are rapidly adopting novel online information services. Among these, virtual showrooms are being increasingly incorporated. Despite this trend, neither academia nor practitioners have...