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Trust Model for Online Reviews of Tourism Services and Evaluation of Destinations
Administrative Sciences Pub Date : 2021-03-24 , DOI: 10.3390/admsci11020034
Josef Zelenka , Tracy Azubuike , Martina Pásková

Obtaining information about destinations and services they provide is ever more based on user-generated content (UGC), which includes reviews of tourism services as well as evaluation of attractions and destinations by visitors. The growing importance of reviews of tourism services is recognized by tourism service providers, and some of them influence the content of reviews on review sites. At the same time, procedures for the prevention of false and misleading reviews, as well as their detection, are being intensively developed. This is documented in relevant sources, which were identified especially on the Web of Science, Scopus, Sciencedirect, Researchgate and the websites of MDPI, Emerald and Taylor & Francis Online. The aim of this study is to reveal how the verification of reviews can be improved with the intention to increase confidence in the review sites. In the form of case studies of TripAdvisor and Booking.com, the current rise of trust in reviews on these review sites was analysed and documented. The outputs of research include a SWOT analysis, processual analysis and an analysis of verification process, conditions, factors affecting trust in reviews on review sites. On these bases, a conceptual model for providing verified reviews of tourism services or verified destination assessment and two process models for providing verified reviews of tourism services and for providing verified destination assessment have been drawn up.

中文翻译:

在线评估旅游服务和目的地评估的信任模型

获取有关他们提供的目的地和服务的信息的更多时间是基于用户生成的内容(UGC),其中包括对旅游服务的评论以及访问者对景点和目的地的评估。旅游服务评论的重要性日益提高,已被旅游服务提供商所认可,其中一些影响评论网站上评论的内容。同时,正在大力发展防止虚假和误导性评论以及发现这些评论的程序。相关资料中对此进行了记录,尤其是在Web of Science,Scopus,Sciencedirect,Researchgate以及MDPI,Emerald和Taylor&Francis Online的网站上进行了标识。这项研究的目的是揭示如何改进评论的验证,以增强对评论网站的信心。通过TripAdvisor和Booking.com的案例研究,分析并记录了这些评论网站上对评论的信任度的上升趋势。研究结果包括SWOT分析,过程分析以及验证过程,条件,影响对评论站点评论信任度的因素的分析。在这些基础上,已经绘制了用于提供旅游服务的经过验证的评论或经过验证的目的地评估的概念模型,以及用于提供旅游服务的经过验证的评论以及用于提供经过验证的目的地评估的两个过程模型。目前已经分析并记录了对这些评论网站上的评论的信任度的上升情况。研究结果包括SWOT分析,过程分析以及验证过程,条件,影响对评论站点评论信任度的因素的分析。在这些基础上,已经提出了用于提供旅游服务的经过验证的评论或经过验证的目的地评估的概念模型,以及用于提供旅游服务的经过验证的评论以及用于提供经过验证的目的地评估的两个过程模型。目前已经分析并记录了对这些评论网站上的评论的信任度的上升情况。研究结果包括SWOT分析,过程分析以及验证过程,条件,影响对评论站点评论信任度的因素的分析。在这些基础上,已经绘制了用于提供旅游服务的经过验证的评论或经过验证的目的地评估的概念模型,以及用于提供旅游服务的经过验证的评论以及用于提供经过验证的目的地评估的两个过程模型。
更新日期:2021-03-24
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