What features of online review affects readers' intention to travel?

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI:10.1109/ICACSIS.2016.7872786

Rahmi Johanes, A. Pinem, A. Hidayanto, M. R. Shihab

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引用次数: 5

Abstract

Online review is becoming more popular among the public when considering the purchase of a product or service. This also applies in tourism industry when potential tourists were making decisions about travel destination. This research aims to identify online review elements/features that will affect readers' intention to travel. Hence, the model was designed by categorized online review characteristics namely system, information and informant characteristic. These characteristics then influence perceived informativeness, destination image and informant expertise and trustworthiness viewed in reader viewpoint and eventually affect reader intention to travel. Analysis of the model was conducted by using PLS SEM with 189 valid questionnaires. The result of this study proved that some elements/features of online review influence reader intention to travel. They are quality and quantity of the reviews and destination indicator which are available on the website. However, this study suggest that current features are not sufficient to explain reviewer credibility, thus other features need to be added to the website to serve this purpose.

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在线评论的哪些特点会影响读者的旅游意愿?

在考虑购买产品或服务时，在线评论在公众中越来越受欢迎。这也适用于旅游业，当潜在的游客决定旅游目的地时。本研究旨在确定影响读者旅游意愿的在线评论元素/特征。因此，通过分类在线评论特征即系统特征、信息特征和举报人特征来设计模型。这些特征进而影响读者感知的信息性、目的地形象、信息者的专业性和可信度，最终影响读者的旅游意愿。采用PLS扫描电镜对189份有效问卷进行模型分析。本研究的结果证明，在线评论的某些元素/特征会影响读者的旅游意愿。它们是网站上提供的评论和目的地指标的质量和数量。然而，本研究表明，目前的功能不足以解释审稿人的可信度，因此需要在网站中添加其他功能来达到这一目的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)

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