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Predictors of review sites usage in hotels

机译:酒店评论网站使用情况的预测因素

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摘要

The tourism industry has been strongly impacted by the consumer use of review sites. Since review travel sites such as TripAdvisor allowed accommodations to create own profiles with information, hotels began incorporating these actions into their engaging customers programming. Despite the benefits that review sites can offer to customers, hotels and accommodations, its implementation is not developed and exploited in all its possibilities, and little is known about hotels use of this review sites. This study explores the topic trough quantitative methodology, conducting multiple correlation analysis of data obtained from a sample of 301 hotel managers. Managers consider they are committed to this type of platforms and are capable of use it accurately. Also it was found evidence of correlation between use of TripAdvisor and hotel characteristics (size, ownership structure, and category). Furthermore, multiple regression analysis shows competence and commitment as the most important predictors of use intensity
机译:消费者对评论网站的使用严重影响了旅游业。由于TripAdvisor等旅行社网站允许住宿创建带有信息的个人简介,因此酒店开始将这些行动纳入其吸引顾客的计划中。尽管评论站点可以为客户,酒店和住宿提供好处,但并未完全开发和利用它的实现方式,并且对于酒店使用此评论站点的情况知之甚少。这项研究探索了主题波谷定量方法,对从301家酒店经理的样本中获得的数据进行了多重相关性分析。经理们认为他们致力于这种平台并且能够准确地使用它。还发现使用TripAdvisor和酒店特征(规模,所有权结构和类别)之间存在关联的证据。此外,多元回归分析显示能力和承诺是使用强度的最重要预测指标

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