Issue |
RAIRO-Oper. Res.
Volume 56, Number 5, September-October 2022
|
|
---|---|---|
Page(s) | 3545 - 3560 | |
DOI | https://doi.org/10.1051/ro/2022166 | |
Published online | 19 October 2022 |
Dynamic market share through advertising and loyalty reward programs: A case study of Ofo versus Mobike
1
School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 300222, P.R. China
2
School of Management, Hefei University of Technology, Hefei, Anhui 230009, P.R. China
3
School of Statistics, Tianjin University of Finance and Economics, Tianjin 300222, P.R. China
4
Coordinated Innovation Center for Computable Modeling in Management Science, Tianjin University of Finance and Economics, Tianjin 300222, P.R. China
* Corresponding author: wangyufangminshan@163.com
Received:
22
February
2021
Accepted:
22
September
2022
The emerging business models have impelled firms’ competition in a brand-new and fast-growing market. This study examines such a competition for market share through advertising and loyalty reward programs. Two stages can be distinguished based on the transformation of the competition strategies. These stages can be formulated as a dynamic differential game model and a static Hotelling game model. The operation strategies and performances of two firms are determined and compared via analytical studies and case analyses toward a bicycle-sharing program, i.e., Ofo versus Mobike. Historical data are used to fit the curve of the market size and to estimate the parameter values of these models. The results show that during the first stage, the difference in market share between these firms gradually decreases (increases) when the advertising response constant is low (high). Meanwhile, in the second stage, these firms offer converse reward strategies.
Mathematics Subject Classification: 90B60 / 90B90
Key words: Dynamic market share / loyalty reward programs / advertising / bicycle-sharing program / case study
© The authors. Published by EDP Sciences, ROADEF, SMAI 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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