Although extant literature on online reviews in the hospitality industry has adequately covered the area of helpfulness, trustworthiness, and quality of online reviews, the trustworthiness of the reviewer has remained largely ignored. In particular, the antecedents of the reviewer’s trustworthiness and its influence on business outcomes have not been researched in detail. Using social credibility theory and social information theory, a framework for reviewers’ trustworthiness was developed and validated with the profile and review information of 143812 reviewers. Further, with data from 11776 businesses, we explore how reviewer trustworthiness interacts with business reputation while contributing to business patronage. A mixed method approach containing the text mining of qualitative analysis followed by PLS-SEM has been used in the analysis. The paper contributes to source-credibility literature in the context of online reviews and helps review managers identify trustworthy reviewers and measure their business impact. The paper is the first one that considered both qualitative and quantitative information while finding the antecedents and consequences of reviewer trustworthiness.

尽管现有的关于酒店业在线评论的文献已经充分涵盖了在线评论的有用性、可信度和质量等方面，但评论者的可信度在很大程度上仍然被忽视了。特别是，评论者的可信度的前因及其对业务结果的影响尚未得到详细研究。使用社会信誉理论和社会信息理论，开发了一个评论者可信度框架，并利用 143812 名评论者的个人资料和评论信息对其进行了验证。此外，利用来自 11776 家企业的数据，我们探索了评论者的可信度如何与商业声誉相互作用，同时促进商业赞助。在分析中使用了一种混合方法方法，其中包含定性分析的文本挖掘，然后是 PLS-SEM。该论文为在线评论背景下的来源可信度文献做出了贡献，并帮助评论管理者识别值得信赖的评论者并衡量他们的业务影响。该论文是第一个在寻找审稿人可信度的前因和后果时同时考虑定性和定量信息的论文。