Deep reinforcement learning (DRL) has opened up many unprecedented opportunities in revolutionizing the digital marketing field. In this study, we designed a DRL-based personalized targeting strategy. We show that it can address four important challenges in this area. 1) Sequential-decisions:...

The sharing economy has radically reshaped marketing thought and practice. Prior research has yet to examine whether and how a platform-level buyer protection insurance (PPI) impacts the buyers and sellers in the sharing economy. We exploit a natural experiment of an unexpected system glitch...

We empirically test an information economics based theory of social preferences in which ego utility and self-signaling can potentially crowd out the effect of consumption utility on choices. Two large-scale, randomized controlled field experiments involving a consumer good and charitable...

To investigate the potential returns of targeted mobile discounts, we design and implement a large-scale field experiment involving two competing movie theaters. In the experiment, we test different forms of targeting based on real-time consumer location and past consumer behavior. A novel...