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讲座:​Duopoly Competition with Network Effects in Discrete Choice Models

发布者:人力资源办公室    发布时间:2018-03-09

管理科学系学术讲座

题  目:Duopoly Competition with Network Effects in Discrete Choice Models

讲座嘉宾:Ningyuan Chen Assistant Professor

                  Department of Industrial Engineering and Decision Analytics

                  the Hong Kong University of Science and Technology

主持人:宋颖达 博士,安泰经济与管理学院管理科学系

时 间:2018年3月16日(周五)10:00-11:30

地 点:上海交通大学徐汇校区 安泰经济与管理学院 A303室

讲座摘要:

We consider two firms that sell substitutable products to a market of network-connected customers. The firms compete for the customers’ purchasing decisions (choice probabilities) based on the multinomial logit (MNL) model. We characterize possible Nash equilibria for homogeneous network interactions and identical firms. Interestingly, the resulting (stable or unstable) market equilibrium is never symmetric even if the firms are ex ante symmetric when the product quality is low and the network effects are neither too weak nor too strong. We extend these results along two directions. First, when the products have heterogeneous qualities, we establish that the firm selling inferior product can still retain market dominance due to the strong network effects. Nevertheless, when the quality difference is sufficiently large, the quality superior firm can secure its dominating position. Second, when the network consists of two communities, we show that market segmentation can arise: one product is dominating in one community, while the other product is popular in the other community.

个人简介:

Dr. Ningyuan Chen is currently an assistant professor at the Department of Industrial Engineering and Decision Analytics of the Hong Kong University of Science and Technology. He received his Ph.D. from the Department of Industrial Engineering and Operations Research at Columbia University. He was a postdoctoral associate at Yale School of Management from 2015 to 2016. His research interest includes dynamic pricing, market microstructure, applied probability and networks.