中文摘要：

在线商品评论存在质量参差不齐、信息过载的问题,因而帮助用户找出对其有用的评论有助于用户做出购物决策。本文以信息采纳理论为基础,构建评论有用性影响因素模型。研究结果表明,消费者感知评论有用性受评论信息相关性、客观性、及时性影响。评论中蕴含的有效信息量越多,评论有用性越高;中间评分评论相比于极端评分评论更有用;新发表的评论比早期发表的评论更有用;而评论者购买的真实性对消费者感知在线评论有用性没有影响。

英文摘要：

Online product review on the shopping website is overload and its quality are uneven,so helping the consumer to find the useful reviews will contribute to their online shopping decision making.Based on the information adoption theory,we develop a model of factors affecting the reviews helpfulness and try to investigate how the review information content affects the review helpfulness.We use regression analysis to test the model by the reviews data of the cell phones crawled from the Aamzon.com.The result indicates that the factors affecting the perceived helpfulness of online product include the relevance,the objectivity and the timeliness of the review information.Furthermore,review information content has a positive relationship with the review helpfulness.Moderate reviews are more useful than extreme reviews,and newly posted reviews are more useful than old reviews.Whether the reviewer has bought product on the website or not has no relationship with the review helpfulness.