One of the main reasons for poor state of education in developing countries is an inability to meet the heterogeneous learning needs of a large student population with constrained educational resources. We provide experimental evidence that computer-generated personalized homework can...

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...

Do personalized offerings enabled by big data only bring economic benefits to firms but not to consumers? In this paper, we seek to address this question by examining a particular category of personalized offerings provided by algorithmic product recommendation systems. While the economic value...

The performance of prediction markets depends crucially on the quality of user contribution. A social media-based prediction market can utilize aspects of social effects to improve users' contribution quality. Drawing upon literature from diverse areas such as prediction markets, knowledge...

Recently, a growing number of online retailers have started meshing their pricing strategies with consumers' social networks. Specifically, they have started allowing consumers to invite peers from social media to request a discount for their purchases. We call this pricing strategy social...