期刊
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
卷 17, 期 -, 页码 74-86出版社
ELSEVIER
DOI: 10.1016/j.elerap.2016.03.002
关键词
Hotel recommendation; Online hotel booking; Online review; Online travel agency; Multi-criteria decision; Multi-dimensional sequencing; Multi-preference consumer; Stochastic programming
资金
- SIIT-JAIST-NECTEC Dual Doctoral Degree Scholarship Program at Sirindhorn International Institute of Technology, Thammasat University, Thailand
- Japan Advanced Institute of Science and Technology, Japan
- Grants-in-Aid for Scientific Research [25240050] Funding Source: KAKEN
The focus of this study is customer behavior during the process of booking a hotel through online travel agencies (OTAs). We developed a stochastic programming model to design the optimal sequence of hotels that enables customers to find hotels at the minimum search cost and maximum utility gained from hotels. The number of available hotels in the sequence was strategically decided to minimize search cost. We considered the multidimensional preferences of customers, including price, star rating, review rating, and reservation price. We collected customer information through a survey and took hotel information from a selected OTA. This information was then used through numerical simulations to test the performance of the modeling approach. The results suggest that hotels with higher utility, review rating, star rating, and price should be ranked in the upper position of the sequence. We highlight an application of the proposed model that can help improve hotel performance in today's competitive market. (C) 2016 Elsevier B.V. All rights reserved.
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