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2003-2020 全部
为您找到包含“online travel agency”的内容共3

Li Shan,Xu Lanjing,Yu Ying,Song Bo,Yao Yehui

relationship between online travel agency and hotels in detail. In order to explore the coordination mechanism

2016-05-27

Research Fund for the Doctoral Program of Higher Education of China (20123218120034

Fundamental Research Funds for the Central Universities (NS2013083

Jiangsu Province Natural Science Foundation (BK2012385

College of Economic and Management,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,College of Economic and Management,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,College of Economic and Management,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,College of Economic and Management,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,College of Economic and Management,Nanjing University of Aeronautics and Astronautics, Nanjing 210016

#Management#

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YE Fei,LU Murui,LI Yina

The overbooking problem with downward substitution for a "Hotel + OTA (online travel agent)" dual-channel supply chain is investigated. Under the Merchant model framework, the OTA's optimal purchasing quantity and the hotel's optimal overbooking decisions are analyzed. The analysis suggests that a substitutable overbooking strategy (free upgrade is permitted) is the best for the hotel. However, the optimal decisions depend on parameters such as wholesale price, arrival rate, the probability of reserving luxury rooms, and demand uncertainty. The OTA's purchasing quantity for economy rooms decreases in wholesale price, the probability of reserving luxury rooms, and online demand uncertainty. The hotel's optimal overbooking level decreases in the arrival rate and the probability of reserving luxury rooms and increases in wholesale price and offline demand uncertainty. Moreover, the hotel can affect the OTA's purchasing quantity decisions by adjusting wholesale prices and, then, accordingly determine the optimal overbooking level to maximize the expected revenue.

2017-05-11

New century project of Ministry of Education(No. NECT-13-0219

National Natural Science Foundation of China (No. 71471066

Ministry of education Doctoral Foundation(20130172110029

School of Business Administration, South China University of Technology, Guangzhou , 510640,School of Business Administration, South China University of Technology, Guangzhou , 510640,School of Business Administration, South China University of Technology, Guangzhou , 510640

#Economics#

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张舵,闫强

2020-01-14

本文利用基于极端梯度提升方法的5折交叉验证递归特征消除算法,对度假酒店基于机器学习的消费者酒店预订渠道选择研究数据集进行了挖掘,发现对消费者关于酒店预订渠道选择影响较大的因素主要为是否寻找代理、价格、消费者类型、存款类型和特殊要求总数,从数据层面证明了消费者特征和消费方式对消费者酒店预订渠道选择的影响是最主要的,发现通常有代理参与预订的消费者通常选择第三方代理渠道;提前计划预订时间越长,消费者越倾向于选择第三方代理渠道;特殊要求较多的消费者倾向于选择酒店的直销渠道。并通过四种分类方法筛选特征前后的表现对比验证了特征筛选的有效性,利用逻辑回归模型从客观层面对特征影响进行了测度,结合服务质量模型、时间建构理论和感知价格等理论对结论进行了阐释,指出酒店可以通过科学地管理与在线旅游平台之间的关系进行全渠道建设,提升酒店收入和效益。

School of Economics and Management, Beijing University of Posts and Telecommunications,Beijing 100876,School of Economics and Management, Beijing University of Posts and Telecommunications,Beijing 100876

#管理学#

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