Time: 11:00am to 12:15pm
Venue: Room 7-208, 7/F, Lau Ming Wai Academic Building
A prevalent yet little understood phenomenon of customer reward programs is the use of finite reward expiration term. We develop a theoretical framework to investigate the economic rationale behind this phenomenon, and the tradeoff between short and long expiration terms. In our model, a monopolistic firm interacts with consumers over an infinite horizon, and simultaneously sets the expiration term along with the price and reward size. Consumers are heterogeneous in shopping probabilities and product valuations, and forward-looking in making purchase decisions. We find that a customer reward program with a finite expiration term can increase firm profits when (1) the valuation heterogeneity within the consumer population is intermediate, and (2) the shopping probabilities and valuations are negatively correlated among consumers. The optimal expiration term depends on both types of consumer heterogeneity. An optimal reward program never hurts frequent consumers, but can either hurt or benefit infrequent consumers. Similarly, its effect on social welfare is ambiguous. An empirical investigation of the top 100 US retailers provides directional support for several theoretical predictions. Several extensions of the main model confirm the robustness of these results. (This is joint work with Yacheng Sun at Tsinghua University)
Dan Zhang is an Associate Professor of Operations Management at Leeds School of Business, University of Colorado Boulder. Dr. Zhang’s primary research interest is data-driven decision making with applications to pricing and revenue management, supply chain management, and healthcare operations. He published more than twenty peer-reviewed journal articles on these topics and frequently speaks at conferences, companies, and academic institutions. He consulted in his area of expertise for companies in Canada, China, Europe, and United States. Dr. Zhang is the current chair of INFORMS Pricing and Revenue Management Section, an international society of pricing and revenue management researchers and professionals. He has been the editor for the Revenue Management and Pricing Department at the journal Decision Sciences since November 2017, and has served as a Senior Editor for the journal Production and Operations Management since 2014. Dr. Zhang teaches operations management and data analytics courses in undergraduate, masters, MBA, and PhD programs. 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 enrolled over 10,000 students worldwide.