淡季中酒店与OTA合作模式选择研究

doi:10.16381/j.cnki.issn1003-207x.2018.05.019

中国管理科学 ›› 2018, Vol. 26 ›› Issue (5): 187-196.doi: 10.16381/j.cnki.issn1003-207x.2018.05.019

• 论文 • 上一篇

淡季中酒店与OTA合作模式选择研究

林雅琴¹, 郭强², 张志文³, 赵达⁴

1. 海南大学旅游学院, 海南海口 570228;
2. 海南大学科研处, 海南海口 570228;
3. 海南寰岛酒店旅游投资有限公司, 海南海口 570208;
4. 海南大学经济与管理学院, 海南海口 570228

收稿日期:2017-02-01 修回日期:2017-06-23 出版日期:2018-05-20 发布日期:2018-07-30
通讯作者: 郭强(1972-),男(汉族),安徽合肥人,海南大学科研处处长,博士,教授,研究方向:旅游供应链管理、旅游企业管理、运营管理,E-mail:raymondguohot@163.com. E-mail:raymondguohot@163.com
基金资助:
国家自然科学基金资助项目（71661006）；海南省自然科学基金项目（718MS033）

Study on the Cooperation Model Decisions for Hotels and OTAs in the Off-season

LIN Ya-qin¹, GUO Qiang², ZHANG Zhi-wen³, ZHAO Da⁴

1. Tourism College of Hainan University, Haikou 570228, China;
2. Hainan University Scientific Research Office, Haikou 570228, China;
3. Hainan Huandao Hotel Tourism Investment Co., Ltd, Haikou 570208, China;
4. School of Economics and Management of Hainan University, Haikou 570228, China

Received:2017-02-01 Revised:2017-06-23 Online:2018-05-20 Published:2018-07-30

摘要/Abstract

摘要： 针对淡季时酒店入住率下降的困境，将"互联网+"背景与收益管理理论相结合，通过构建Stackelberg博弈模型，研究了淡季时酒店与在线旅游代理商（Online Travel Agent，OTA）如何选择合作模式以提高入住率和收益。研究在几种常见情境下展开，不同情境下均得出了最优合作模式。优化的合作模式不但协调了酒店服务供应链，而且在提高酒店整体效益的同时，也增加了OTA的收益。研究为酒店和OTA提供了具有可操作意义上的合作模式决策支持，同时也弥补了以往研究在酒店和OTA合作模式对比、选择与优化方面的空缺。

关键词: 酒店服务供应链, 收益管理, 淡季, 合作模式, Stackelberg博弈

Abstract: The occupancy rate is so important to hotel revenue and investment recovery that hotels have to implement revenue management, alleviating the plight of low occupancy rate in the off-season. Fortunately, in the era of Internet Plus, strengthen cooperation with Online travel agents (OTAs) can advance a possible solution to this problem, and right decisions in cooperation modes can further alleviate the predicament, coordinating hotel service supply chain, improving the overall benefits of hotel service supply chain and benefiting hotels and OTAs both. Today, the mainly cooperation modes of hotels and OTAs are the merchant model and the agent model, but which one is better and how should hotels and OTAs make a right decision on model choices? However, there has been still no scholar studying these significant problems. Therefore, establishing Stackelberg static equilibrium models, the optimal cooperation model decisions of one hotel and one OTA in the off-season are discussed, and obtain the optimal results in several common situations are obtained with the method of Graphic and example analysis. The specific research process is as follows. Firstly, through reverse derivation, the optimal decisions of the OTA and the hotel in the merchant model where the OTA is leader and the agent model where the hotel is leader are obtained, preparing for the following comparative study. At the same time, the sensitivity of the key parameters is analyzed. And then, the optimal cooperation model decisions of the hotel and the OTA are demonstrated and obtained base on analysis results above, and it is found that in most cases the merchant model is the best choice for the hotel, but not for the OTA, and they will choose the merchant model when reach agreement in the off-season. It should be noted that, proposing of the case data in this paper is mainly based on a number of online hotel sales information retrieval and pre project in hospitality industry. This study not only provides the cooperation mode decision support for hotels and OTAs in operational significance, but also fills the research vacancy in comparison, selection and optimization of cooperation models of OTAs and hotels, providing a reference for later related researches.

Key words: hotel service supply chain, revenue management, off-season, cooperation model, Stackelberg game

中图分类号:

F590

林雅琴, 郭强, 张志文, 赵达. 淡季中酒店与OTA合作模式选择研究[J]. 中国管理科学, 2018, 26(5): 187-196.

LIN Ya-qin, GUO Qiang, ZHANG Zhi-wen, ZHAO Da. Study on the Cooperation Model Decisions for Hotels and OTAs in the Off-season[J]. Chinese Journal of Management Science, 2018, 26(5): 187-196.

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淡季中酒店与OTA合作模式选择研究

Study on the Cooperation Model Decisions for Hotels and OTAs in the Off-season

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