WHAT ARE THE DETERMINANTS OF CONSUMERS' ONLINE REVIEWS ADOPTION FOR HOTEL BOOKINGS: A STRUCTURAL EQUATION MODELLING APPROACH

Q3 Business, Management and Accounting
S. Lata, Krishma Rana
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引用次数: 7

Abstract

Experienced travelers share their reviews regarding hotel services which serve as a testimony for novice travelers and help them to make their decision whether to book that hotel or not. The current study aims to identify the various factors affecting the intentions of travelers for online hotel bookings. Data was collected from 419 respondents who adopt online reviews published on online travel aggregators for online hotel bookings. The respondents for this study are taken from Delhi. Further, the hypotheses of this study were validated with the help of structural equation modeling (SEM) using partial least squares (PLS). The paper found Information quality; Source credibility, Information sidedness, and Information consistency are the significant predictor of traveler’s Information usefulness for hotel bookings. Further, the relationship between Information usefulness and online hotel bookings intentions was also found statically significant. This study has provided implications for hotel managers that hotel managers should continue to monitor the negative reviews and take some necessary actions to overcome these issues. As well as they should focus on their service quality which helps them to make their customers happy and encourage them to upload positive reviews. This study analyzed the travelers’ adoption of usergenerated reviews from online travel aggregators for online hotel bookings by using an information adoption model with additional constructs.
消费者在酒店预订中采用在线评论的决定因素是什么:一种结构方程建模方法
有经验的旅行者分享他们对酒店服务的评论,这些评论可以作为新手旅行者的证词,帮助他们决定是否预订这家酒店。目前的研究旨在确定影响旅行者在线酒店预订意向的各种因素。数据收集自419名受访者,他们采用在线旅游聚合网站发布的在线评论进行在线酒店预订。这项研究的受访者来自德里。此外,利用偏最小二乘(PLS)的结构方程模型(SEM)验证了本研究的假设。本文发现信息质量;信息源可信度、信息边面性和信息一致性是旅行者对酒店预订信息有用性的重要预测因子。此外,信息有用性与在线酒店预订意愿之间的关系也具有统计学意义。本研究为酒店管理者提供了启示,即酒店管理者应该继续监控负面评论,并采取一些必要的行动来克服这些问题。此外,他们应该专注于他们的服务质量,这有助于他们让客户满意,并鼓励他们上传积极的评论。本研究通过使用带有附加结构的信息采用模型,分析了旅行者在在线酒店预订中使用在线旅游聚合器用户生成评论的情况。
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
Enlightening Tourism
Enlightening Tourism Business, Management and Accounting-Tourism, Leisure and Hospitality Management
CiteScore
2.20
自引率
0.00%
发文量
29
审稿时长
24 weeks
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