Optimal pricing strategy for hotels when online travel agencies use customer cash backs: A game-theoretic approach

Optimal pricing strategy for hotels when online travel agencies use customer cash backs: A game-theoretic approach
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在线旅行社使用客户现金返还时的酒店最优定价策略:博弈论方法

DOI:
10.1057/rpm.2015.44
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发表时间:
2016-02
影响因子:
1.6
通讯作者:
Zhiyong Gao
Zhiyong Gao
中科院分区:
--
文献类型:
--
作者:
Xiaolong Guo;Liuyi Ling;Zhiyong Gao

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在在线旅游市场中,酒店根据单位佣金费用和预订数量向在线旅行社(OTA)支付费用。为了通过销售酒店客房获得高额收入,一些OTA提供现金返还,以吸引在线旅行者通过OTA网站而不是通过电话或亲自等传统渠道预订酒店。本研究探讨了酒店对OTA在现金返还影响下的最优定价决策,旨在为酒店提供实用的定价方向。酒店和 OTA 的最优决策通过 Stackelberg 博弈中的逆向归纳法进行分析。结果表明,酒店可以确定最佳单位佣金以获得最大收入。 OTA 可以找到最佳的现金返还,以鼓励在线客户通过其网站进行预订。此外,OTA的目标是根据给定的单位佣金费用,通过表达适当的努力水平来扩大其访问量(潜在的在线客户数量)。研究结果还表明,建立深度合作对于增加酒店和 OTA 的整体收入非常重要。
In an online travel market, online travel agencies (OTAs) are paid by hotels according to a unit commission fee and the number of reservations. To obtain high revenue from selling hotel rooms, some OTAs provide cash backs to attract online travelers to make hotel reservations via the OTA’s Website rather than via traditional channels, such as by calls or in person. This study investigates the optimal pricing decision of hotels for OTAs with the effect of cash back and aims to provide practical pricing directions for hotels. The optimal decisions of hotels and OTAs are analyzed by backward induction within a Stackelberg game. Results indicate that hotels can determine an optimal unit commission to obtain maximal revenue. OTAs can find the optimal cash back to encourage online customers to make reservations from their Websites. Furthermore, OTAs aim to expand their visit volume (potential number of online customers) according to the given unit commission fee by expressing a proper effort level. The findings also show the importance of establishing a deep collaboration in increasing the whole income for both hotels and OTAs.
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