Nash-stackelberg game perspective on pricing strategies for ride-hailing and aggregation platforms under bundle mode

被引:6
|
作者
Xu, Weina [1 ]
Lin, Gui-Hua [1 ]
Zhu, Xide [1 ]
机构
[1] Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
基金
中国国家自然科学基金;
关键词
Stackelberg game; Nash equilibrium; Ride-hailing platform; Pricing; Service level; Bundle mode; SLOTTING ALLOWANCES; SUPPLY CHAIN; PRODUCT; EQUILIBRIUM; ONLINE;
D O I
10.5267/j.ijiec.2022.3.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The growing popularity of aggregation platforms has attracted widespread attention in the ride-hailing market in recent years. In order to obtain additional orders by charging commissions and slotting fees, many ride-hailing platforms choose to bundle with aggregation platforms. Unlike traditional reseller electronic channels, the bundle channels may affect pricing of platforms, service levels of drivers, market demands and they may further impact on profits. These different attitudes raise an interesting and key question about the influence of bundle channels in ride-hailing platforms. In this paper, we propose an analytical framework for pricing strategies of ride-hailing and aggregation platforms under bundle mode and analyze their pricing process from the perspective of Nash and Stackelberg games, where the platforms serve as leaders to determine optimal prices through Nash equilibrium and the drivers serve as followers to provide optimal service levels. Through sensitivity analysis of service levels and costs, we capture the distribution trends of profits between the platforms. Based on some numerical examples and results analysis, some interesting managerial insights on pricing of ride-hailing and aggregation platforms are gained. (C) 2022 by the authors; licensee Growing Science, Canada
引用
收藏
页码:309 / 318
页数:10
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