影响网上酒店预订意向的因素:对大学生的研究

Joseph Lim, Fadhilah Mohd Zahari, R. Abidin
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引用次数: 1

摘要

随着互联网和人工智能的高速发展,酒店预订方式也在发生着创新的变化。与传统的信息传播媒介相比,互联网的传播能力更强、范围更广、受众更广。网上关于自己使用酒店服务体验的评论可以通过互联网平台简单传播,从而影响未来顾客的酒店预订意愿。在这方面,了解在线评论对酒店预订意向的影响是至关重要的,这样才能制定出能够维持酒店行业的策略。本研究从有用性、效价、数量和信任四个维度考察了在线评论对在线酒店预订意愿的影响。此外,本研究还调查了自我效能感对在线酒店预订意愿的作用,以捕捉用户的技术能力维度。数据是通过对255名UUM本科生的问卷调查收集的。采用SPSS统计分析软件进行分析。结果表明,在线评论中只有两个维度对在线酒店预订意愿有显著影响,即数量和信任。此外,没有观察到自我效能感的作用。研究在线评论与消费者行为的关系,有利于酒店管理者更全面地把握影响顾客在线预订酒店意愿的因素。进一步讨论了本研究的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FACTORS AFFECTING ONLINE HOTEL BOOKING INTENTION: A STUDY ON UUM STUDENTS
With the high-speed development of the Internet and artificial intelligence, the hotel booking method was also undergoing innovative changes. Compared with traditional information dissemination media, the Internet has a stronger dissemination ability, wider scope and larger audience. Online reviews about one's experience in using hotel service could be simply disseminated using the Internet platform, which consequently affects the hotel booking intention of future customers. In this regard, it is vital to understand the impact of online reviews on hotel booking intentions in order to develop strategies that will sustain the hotel industry. This study examined the impact of online review in four dimensions which are usefulness, valence, volume and trust towards online hotel booking intention. Besides, the study also investigated the role of self-efficacy towards online hotel booking intention to capture the user's technological capacity dimension. Data were collected using survey questionnaires from 255 UUM undergraduate students. The analysis was performed with the aid of SPSS statistical analysis software. The results suggest that only two dimensions in the online review have significant impact toward online hotel booking intention, namely volume and trust. Moreover, the role of self-efficacy was not observed. Studying online reviews and consumer behavior is beneficial for hotel managers to have a more comprehensive grasp of the factors that affect customers' intention to book hotels online. Implications of this study are further discussed.
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