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Loyalty Programs in the Sharing Economy: Optimality and Competition

Fang, Zhixuan and Huang, Longbo and Wierman, Adam (2018) Loyalty Programs in the Sharing Economy: Optimality and Competition. In: Proceedings of the Eighteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing. ACM , New York, NY, pp. 131-140. ISBN 978-1-4503-5770-8. https://resolver.caltech.edu/CaltechAUTHORS:20180621-074412313

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Abstract

Loyalty programs are important tools for sharing platforms seeking to grow supply. Online sharing platforms use loyalty programs to heavily subsidize resource providers, encouraging participation and boosting supply. As the sharing economy has evolved and competition has increased, the design of loyalty programs has begun to play a crucial role in the pursuit of maximal revenue. In this paper, we first characterize the optimal loyalty program for a platform with homogeneous users. We then show that optimal revenue in a heterogeneous market can be achieved by a class of multi-threshold loyalty program (MTLP) which admits a simple implementation-friendly structure. We also study the performance of loyalty programs in a setting with two competing sharing platforms, showing that the degree of heterogeneity is a crucial factor for both loyalty programs and pricing strategies. Our results show that sophisticated loyalty programs that reward suppliers via stepwise linear functions outperform simple sign-up bonuses, which give them a one time reward for participating.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1145/3209582.3209596DOIArticle
https://arxiv.org/abs/1805.03581arXivDiscussion Paper
https://resolver.caltech.edu/CaltechAUTHORS:20200511-124909341Related ItemJournal Article
Additional Information:© 2018 ACM, Inc. The work of Zhixuan Fang and Longbo Huang is supported by the National Natural Science Foundation of China Grant 61672316 and 61303195, the Tsinghua Initiative Research Grant and the China Youth 1000-Talent Grant. The work of Adam Wierman is supported by NSF Grant AitF-1637598, CNS-1518941.
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China61672316
National Natural Science Foundation of China61303195
Tsinghua Initiative Research GrantUNSPECIFIED
China Youth 1000-Talent GrantUNSPECIFIED
NSFAitF-1637598
NSFCNS-1518941
Record Number:CaltechAUTHORS:20180621-074412313
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180621-074412313
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87294
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:21 Jun 2018 16:09
Last Modified:11 May 2020 19:50

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