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报告题目:Models and Analysis of Customer Reward Programs

发布日期:2019-05-08    作者:         点击:

报告题目:Models and Analysis of Customer Reward Programs

报告人:Dan Zhang Professor of University of Colorado Boulder

主持人:张笑燕教授

报告时间:2019年5月14日星期二,

下午2:00-3:30

报告地点:北京邮电大学西土城校区教三楼435教室

主办单位:北京邮电大学国际学院

报告内容:

Customer reward programs are widely used in practice. We develop a theoretical framework to investigate the economic rationale behind this phenomenon, and the tradeoffs in optimal reward program design. In our model, a monopolistic firm interacts with consumers over an infinite horizon. Consumers are heterogeneous in their shopping patterns and product valuations, and forward-looking in making purchase decisions. We discuss alternative customer reward program designs and compare and contrast their efficacy. Optimally designed reward programs can often significantly enhance firm profitability and improve aggregate consumer welfare, even though the implications for individual consumer segments are more nuanced. Several extensions of the main model confirm the robustness of these results.

报告人简介:

Dan Zhangis Professor of Operations Management at Leeds School of Business, University of Colorado Boulder. Dr. Zhang’s primary research interest is revenue management and approximate dynamic programming. He frequently speaks at conferences, companies, and academic institutions, and consults in his area of expertise. Between 2017 and 2018, he is the chair of INFORMS Pricing and Revenue Management Section, an international society of pricing and revenue management researchers and professionals. He was the Department Editor for the Revenue Management and Pricing Area at the journalDecision Sciencesbetween 2017 and 2018 and a Senior Editor for the journalProduction and Operations Managementbetween 2014 and 2018. Since January 2019, he has been the Department Editor of Revenue Management Area atProduction and Operations Managementand an Associate Editor atINFORMS Journal on Computing. Dr. Zhang teaches operations management, statistics, and data analytics courses at all levels. He also offered a PhD level course on Approximate Dynamic Programming at several universities. Together with two colleagues, he has been offering a five-course specialization on Data Analytics for Business since September 2016 on the MOOC platform Coursera, which has enrolled tens of thousands of students worldwide. Dr. Zhang held visiting appointments at Ross School of Business, University of Michigan, and College of Business, City University of Hong Kong

此讲座为前沿课题讲座,欢迎全校师生踊跃参加。

校学术委员会

国际学院

2019年5月8日

友情链接: 北京邮电大学 QMUL 北邮教务处 QMplus 北邮本科招生网

 地址:北京市西土城路10号北京邮电大学国际学院   邮编:100876  联系电话 010-62286761  邮箱:gjxy@bupt.edu.cn

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