基于客户取消行为的 "酒店+OTA "定价决策和取消策略选择

Li Zhang, Guosheng Xie
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摘要

本文基于顾客取消行为,结合霍特林模型框架,构建了酒店直销渠道和在线旅行社(OTA)在线渠道的需求。然后,利用斯塔克尔伯格博弈模型分析了具有竞争关系的酒店与 OTA 之间的最优定价问题,并分析了酒店直销渠道的最优取消策略。结果表明,酒店最有利可图的取消预订策略取决于顾客取消预订给酒店带来的损失成本、顾客的渠道转移成本以及 OTA 的垄断细分市场。当顾客取消预订给酒店带来的损失成本相对较小时,酒店选择顾客可以取消预订的策略(即 Y 策略),酒店客房的定价随着取消预订损失成本的增加而增加;反之,酒店选择顾客不能取消预订的策略(即 N 策略),酒店客房的定价随着取消预订损失成本的增加而减少。当顾客的渠道转移成本较低时,酒店选择 N 策略;反之,酒店选择 Y 策略。当 OTA 的垄断细分市场(即仅由 OTA 渠道吸引的客户)较大时,酒店选择 N 策略;反之,酒店选择 Y 策略。这些发现有助于酒店管理者改进定价和取消策略的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pricing Decision and Cancellation Strategy Selection of ‘Hotel+OTA’ Based on Customer Cancellation Behavior
This paper is based on customer cancellation behavior and combines the Hotelling model framework to construct the demand for hotel direct sales channels and online travel agency (OTA) online channels. Then, the Stackelberg game model is used to analyze the optimal pricing problem between hotels and OTA with competitive relationships, and the optimal cancellation strategy for hotel direct channel is analyzed. We demonstrate that the hotel’s most profitable cancellation strategy depend on the loss cost of customer cancellation to the hotel,the cost of channel transfer for customers, and the OTA’s monopoly market segment. When the cost of loss to the hotel due to customer cancellation is relatively small, the hotel chooses a strategy where customers can cancel their reservations (i.e. Y strategy), and the pricing of hotel rooms increases as the cost of cancellation loss increases; otherwise, the hotel chooses a strategy where the customer cannot cancel the reservation (i.e. N strategy), and the pricing of hotel rooms decreases as the cost of cancellation loss increases. When the cost of channel transfer for customers is low, the hotel chooses N strategy; otherwise, the hotel chooses Y strategy. When the OTA’s monopoly market segment (i.e., the customers attracted solely to the OTA channel) is large, the hotel chooses N strategy; otherwise, the hotel chooses Y strategy. These findings can assist hotel managers in improving the design of their pricing and cancellation strategy.
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