Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal

IF 2.6 Q2 HOSPITALITY, LEISURE, SPORT & TOURISM Tourism & Management Studies Pub Date : 2018-02-17 DOI:10.18089/TMS.2018.14SI107
C. Castro, F. A. Ferreira
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引用次数: 19

Abstract

Lisbon is one of the European Union cities that has one of the highest growth in the number of hotels. With the digital revolution travelers can easily not only compare prices but also get information about the experience of other guests which can influence prices. The aim of this paper is to analyze how prices for a hotel stay can be influenced by some quality signaling factors, as star rating and online consumer’s ratings (location, cleanliness, comfort, facilities, staff and value for money, available on Booking.com), the volume of consumer’s comments and the availability of rooms in Lisbon. For 151 hotels in Lisbon, from 3 to 5 stars, through a multiple regression model, the results suggest that hotel category, location and facilities ratings have a positive influence on hotel room rates, but higher trade-off between what clients pay and the guest hotel stay experience has a negative impact on the consumer’s willingness to pay, as well as the number of comments. Among different hotel categories, the influent factors are different. Our main findings provide signs to hoteliers to take corrective actions towards the attributes most valuable for consumers and that can provide a higher room rate premium.
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在线酒店评级及其对酒店房价的影响:以葡萄牙里斯本为例
里斯本是欧盟酒店数量增长最快的城市之一。随着数字革命,旅行者不仅可以轻松地比较价格,还可以获得其他客人的体验信息,这可能会影响价格。本文的目的是分析酒店住宿价格如何受到一些质量信号因素的影响,如星级评定和在线消费者评级(位置、清洁度、舒适度、设施、员工和性价比,可在Booking.com上获得)、消费者评论量和里斯本的客房可用性。通过多元回归模型,对里斯本的151家酒店(从3星级到5星级)进行分析,结果表明,酒店类别、位置和设施评级对酒店房价有积极影响,但客户支付的费用和客人的酒店住宿体验之间的更高权衡对消费者的支付意愿以及评论数量有负面影响。在不同的酒店类别中,影响因素是不同的。我们的主要发现为酒店经营者提供了迹象,让他们对对对消费者最有价值的属性采取纠正措施,从而提供更高的房价溢价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tourism & Management Studies
Tourism & Management Studies HOSPITALITY, LEISURE, SPORT & TOURISM-
CiteScore
3.70
自引率
13.60%
发文量
16
审稿时长
24 weeks
期刊最新文献
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