Affiliation:
1. School of Safety Science and Emergency Management and China Research Center for Emergency Management Wuhan University of Technology Wuhan Hubei China
2. Department of Management Sciences College of Business City University of Hong Kong Hong Kong
3. Department of Information Systems Business Statistics and Operations Management Hong Kong University of Science and Technology Hong Kong
Abstract
AbstractThis study analyzes a monopolistic seller's optimal differential pricing problem with strategic consumers connected in social networks. The consumers who purchase in the later period can get positive externalities from their friends who purchased in the early period but have to bear a utility discount for the delayed consumption. We first characterize consumers' strategic purchase decisions under general network structures. We then derive the optimal differential pricing strategies and demonstrate that different network structures lead to substantially different strategies. We find that when the intensity of the network externality effect is lower than a threshold and the influence matrix is symmetric, it is always optimal for the seller to conduct an increasing‐pricing strategy. However, when the network externality effect is strong, a decreasing‐pricing strategy may also be optimal. We further examine how the imbalance of influence, degree heterogeneity, and network topology impact the optimal pricing policy and profit. We find that when the intensity of network externality is relatively low, it is more profitable to sell products through many interconnected low‐influencer networks; however, when the network externality intensity is high, it is better to sell through a few high‐influencer networks. Finally, we show that the profit loss caused by uniform pricing strategies or by ignoring consumer network structures can be significant under certain conditions, thereby revealing the substantial value of differential pricing in social networks.
Funder
Wuhan University of Technology
National Natural Science Foundation of China
Subject
Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research
Cited by
5 articles.
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