Sánchez-González Gloria, González-Fernández Ana M
Business Administration Department, University of León, León, Spain.
Front Psychol. 2021 Jan 14;11:612324. doi: 10.3389/fpsyg.2020.612324. eCollection 2020.
There is no doubt that the use of Internet for purchasing products and services has constituted a crucial change in how people go about buying them. In the era of digital transformation, the possibility of accessing information provided by other users about their personal experiences has taken on more weight in the selection and buying processes. On these lines, traditional word-of-mouth (WOM) has given way to electronic word-of-mouth (eWOM), which constitutes a major social change. This behavior is particularly relevant in the services area, where potential users cannot in advance assess what is on offer. There is an abundant literature analyzing the effects of eWOM on different variables of interest in this sector. However, little is known about the factors that determine eWOM. Thus, the main objective of the present paper is to analyze the impact of two variables (objective quality and perceived quality) on eWOM. Both of them are crucial for potential customers in the process of finding hotel accommodations and they can motivate people to make such comments. The results demonstrate that these variables truly have a significant impact on whether or not users make comments on line. Moreover, it proved possible to observe certain differences according to the profile of the tourist involved and the destination where the hotel is located. In the current changing environment, this information is of great use for hotel managers in order to design strategies according to the type of guest they wish to attract.
毫无疑问,利用互联网购买产品和服务已经在人们的购物方式上引发了重大变革。在数字转型时代,获取其他用户个人体验信息的可能性在选择和购买过程中变得愈发重要。在这方面,传统的口碑传播已让位于电子口碑传播,这构成了一项重大的社会变革。这种行为在服务领域尤为重要,因为潜在用户无法提前评估所提供的服务。有大量文献分析了电子口碑传播对该领域不同相关变量的影响。然而,对于决定电子口碑传播的因素却知之甚少。因此,本文的主要目的是分析两个变量(客观质量和感知质量)对电子口碑传播的影响。这两个变量对于潜在客户寻找酒店住宿的过程都至关重要,并且能够促使人们发表此类评论。结果表明,这些变量确实对用户是否在线发表评论有着重大影响。此外,根据所涉及游客的特征以及酒店所在的目的地,还能观察到某些差异。在当前不断变化的环境中,这些信息对于酒店经理根据他们希望吸引的客人类型来制定策略非常有用。