We study dynamic price competition in an oligopolistic market with a mix of substitutable and complementary perishable assets. Each firm has a fixed initial stock of items and competes in setting prices to sell them over a finite sales horizon. Customers sequentially arrive at the market, make a...

In this paper, we study how a profit-maximizing platform implements a new policy, from which a representative retailer also experiences a private externality. Our analysis suggests that: (1) when the policy is highly valuable for the platform’s own interest, the platform may charge a fee from...

Live-streaming advertising in e-commerce is soaring. Both Amazon and Alibaba have employedthis novel marketing model to engage consumers by sequentially exhibiting differentproducts through live-streaming videos. In this paper we adopt a mechanism design frameworkto model live-streaming...

We present tight bounds and heuristics for personalized, multi-product pricing problems. Under mild conditions we show that offering a non-personalize price in the direction of a positive vector (factor) has a tight profit guarantee relative to optimal personalized pricing. An optimal...

Exponential bandits are widely adopted in economics and marketing due to their tractability. This paper analyzes the one-agent multi-armed account of exponential bandits, where the agent dynamically selects arms to maximize total payoff. We motivate our base model by examples with arms being of...

Capacity providers often experience a mismatch between supply and demand that can be partially alleviated while improving revenues by allowing for product upgrades. When prices are fixed and demands are independent, the problem is to decide which customer demands to upgrade to which products and...

Chapter 1. Single Resource Revenue Management with Independent Demands -- Chapter 2. Network Revenue Management with Independent Demands -- Chapter 3. Overbooking -- Chapter 4. Introduction to Choice Modeling -- Chapter 5. Assortment Optimization -- Chapter 6. Single Resource Revenue Management...