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Profiling tourists based on their perceptions of the trustworthiness of different types of peer-to-peer applications

机译:根据对不同类型的点对点应用程序的可信赖性的看法来分析游客

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摘要

This research profiles tourists based on the extent to which they trust user-generated content (UGC) uploaded in different types of peer-to-peer applications, also considering their socio-demographic characteristics, frequency of travel and motivations for using the Internet and UGC when making their travel choices. For this purpose, latent class segmentation was applied on a sample of 609 Italian tourists and three different clusters were identified, namely: "distrustful tourists", "untrusted tourists" and "social web tourists". The findings suggest that hospitality marketers should improve their social media strategy by focusing their attention on Travel 2.0 applications according to the socio-demographic and behavioural characteristics of their target market.
机译:这项研究基于游客对他们在不同类型的点对点应用程序中上载的用户生成内容(UGC)的信任程度,还考虑了他们的社会人口统计特征,出行频率以及使用互联网和UGC的动机,从而对游客进行了介绍在选择旅行时。为此,对609名意大利游客进行了潜在类别细分,确定了三个不同的类别:“不信任的游客”,“不信任的游客”和“社交网络游客”。调查结果表明,酒店营销人员应根据目标市场的社会人口统计学和行为特征,将注意力集中在Travel 2.0应用程序上,从而改善其社交媒体策略。

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