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:...

On many e-commerce platforms such as Airbnb, StubHub and TURO, where each seller sells a fixed inventory over a finite horizon, the pricing problems are intrinsically dynamic. However, many sellers on these platforms do not update prices frequently. In this paper, I develop a dynamic pricing...

Pay-as-you-go (pay-go or cash) and pay-as-you-use (pay-use or debt) are two mechanisms to finance capital projects. While pay-go faces multiple constraints, pay-use smoothes outlays, stabilizes tax rates, and improves inter-generational equity. Thus, pay-use has dominated infrastructure...

Traditionally, financing the construction of school facilities has been a local responsibility. In the past several decades, states have increased their support for school facilities. Using data collected from various sources, this study first classifies the design of capital aid programs in all...

The profitability of a firm is jointly determined by it's organizational structure and the market structure. To explore the effects of market factors on optimal organizational structure we develop a real-time information processing model of a multi unit firm in a dynamic duopoly environment. Our...