Empirical evidence suggests that consumers commonly focus their attention on a subset of available products and evaluate them in batches to identify a satisfactory option. To capture this phenomenon, we introduce the Attention-Based Satisficing choice rule, which encompasses several specific...

We consider a revenue management problem arising from the sales of high-speed train tickets in China. Compared to traditional network revenue management problems, the new feature of our problem is that each request, if accepted, needs to be instantly assigned to a unique seat throughout the...

We study the value of price discrimination in large random networks. Recent trends in industry suggest that increasingly firms are using information about social network to offer personalized prices to individuals based upon their positions in the social network. In the presence of positive...

Problem definition: To mitigate the impact of global climate change, an increasing number of countries in the world have adopted emission control. Government regulations on emission control can be broadly divided into two categories: price instruments and quantity instruments. In this paper, we...

Motivated by a practical problem arising from the home health care industry, we consider an integrated routing and appointment scheduling problem with random service durations. Given a set of patients with known locations and service duration distributions, the health care team is required to...

In this paper, we study a dynamic multinomial logit choice model with network effect (we call it the "dynamic model'' in short). In our model, a continuum of customers stay in a market for an infinite horizon. We adopt a random utility model to capture customer's valuation of each product in...

This paper considers the scenario where the assortment provided by the seller can influence customers' evaluation of item utility. A possible consequence is that certain items in an assortment become "star items" to customers, and customers over-evaluate their utilities. We call such a...

Problem Definition: We investigate a seller's optimal advertising campaign strategy targeting customers who interact with the seller over time. We model customers' engagement as a continuous-time Markov chain with two states, active and inactive. While in the active state, customers make...

Considering the real-world situations where past purchases could influence future prices, this research examines the multi-product price optimization problem under a multi-stage choice model. Particularly, the seller commits to a multi-stage pricing policy and determines product prices based on...

Purpose: The purpose of this study is to evaluate the effect of blockchain technology on firms’ operational efficiency in the context of China. Design/methodology/approach: The authors use panel data for blockchain-based companies listed on stock exchanges in China (Shanghai, Shenzhen and...