{"title":"The Influence Factors of Online Review Quality and Their Mechanism on Trust Intention","authors":"Cong Cao, Jun Yan, Mengxiang Li","doi":"10.1109/ICEBE.2018.00031","DOIUrl":null,"url":null,"abstract":"With the Theory of Planned Behavior (TPB) and the online consumer trust model as the theoretical underpinnings, based on related studies on online reviews, this paper explores the definition and connotation of the online review quality in detail and investigates the influencing factors of the online review quality perceived by consumers. The Partial Least Squares Structural Equation Modeling (PLS-SEM) is applied in this research for evaluating the research model and hypotheses. The results obtained with 259 Internet users as the samples show that the online review quality perceived by consumers is mainly reliant on the accuracy, completeness, currency, format and credibility. Furthermore, this paper discusses the theoretical contribution and practical significance of this research and provides some suggestions for enterprises' processing of online reviews and identification of quality.","PeriodicalId":221376,"journal":{"name":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2018.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the Theory of Planned Behavior (TPB) and the online consumer trust model as the theoretical underpinnings, based on related studies on online reviews, this paper explores the definition and connotation of the online review quality in detail and investigates the influencing factors of the online review quality perceived by consumers. The Partial Least Squares Structural Equation Modeling (PLS-SEM) is applied in this research for evaluating the research model and hypotheses. The results obtained with 259 Internet users as the samples show that the online review quality perceived by consumers is mainly reliant on the accuracy, completeness, currency, format and credibility. Furthermore, this paper discusses the theoretical contribution and practical significance of this research and provides some suggestions for enterprises' processing of online reviews and identification of quality.
本文以计划行为理论(Theory of Planned Behavior, TPB)和网络消费者信任模型为理论基础,在对网络评论相关研究的基础上,详细探讨了网络评论质量的定义和内涵,并调查了消费者感知到的网络评论质量的影响因素。本研究采用偏最小二乘结构方程模型(PLS-SEM)对研究模型和假设进行评估。以259名网民为样本得到的结果表明,消费者感知的在线评论质量主要依赖于准确性、完整性、流通性、格式和可信度。在此基础上,探讨了本研究的理论贡献和现实意义,并对企业在线评价的处理和质量识别提出了建议。