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

机译:在线旅行社使用客户现金返还时酒店的最佳定价策略:一种博弈论方法

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摘要

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.
机译:在在线旅游市场中,酒店根据单位佣金和预订数量向在线旅行社(OTA)支付费用。为了从出售酒店客房中获得高额收入,一些OTA提供现金返还以吸引在线旅行者通过OTA的网站进行预订,而不是通过传统的渠道(如打电话或亲自到酒店)进行预订。这项研究调查了具有现金返还影响的OTA旅馆的最佳定价决策,旨在为旅馆提供实用的定价方向。通过在Stackelberg博弈中的反向归纳来分析酒店和OTA的最佳决策。结果表明,酒店可以确定获得最大收益的最佳单位佣金。 OTA可以找到最佳的现金返还,以鼓励在线客户从其网站进行预订。此外,OTA旨在通过表达适当的努力水平,根据给定的单位佣金来扩大访问量(潜在的在线客户数量)。调查结果还显示了建立深度合作在增加酒店和OTA整体收入方面的重要性。

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