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中文摘要：
随着电子商务的兴盛,点评网站取得了长足发展,已成为消费者获取信息的重要渠道。然而,什么因素影响用户通过点评网站来获取评论信息的意愿,却没有得到太多关注。为此,在技术接受模型的基础上,引入风险感知,分析用户通过点评网站获取信息的使用意愿影响因素,并采用结构方程模型对理论模型和研究假设进行实证分析。结果显示,有用性感知正向影响使用意愿,风险感知负向影响使用意愿;易用性感知、信任倾向、网站可信度、网站专业性正向影响有用性感知;信任倾向负向影响风险感知。最后依照实证研究结果为管理实务提供对策建议。
英文摘要：
With the e-commerce developing rapidly, the review website are growing faster and faster,and it has been regarded as the important platform of obtaining product or service information. However,to date, very little attention has been paid to factors that influence an individual＇s intention to use reviewwebsite for reading reviews. Therefore, based on the Technology Acceptance Model（TAM） and perceivedrisk, a theoretical model is proposed, which shows the factors influencing the intention of using reviewwebsites to obtain product or service information. Furthermore, the theoretical model and relativehypotheses are verified by the empirical research by means of Structural Equation Model. The resultsshow that perceived usefulness has positive effect on the intention of using review website, perceived riskhas negative effect on the intention of using review website; whereas perceived ease of use, trust tendency,site credibility and site expertise all have positive effect on perceived usefulness; trust tendency hasnegative effect on perceived risk. Finally, several implications are put forward.
同期刊论文项目
同项目期刊论文
Sentiment Feature Selection from Chinese Online Reviews Based on Statistical Natural Language Proces
Sentiment Analysis of Chinese Online Reviews: A Comparison of Factors Influencing the Classification
Feature-Opinion Pair Identification of Product Reviews in Chinese: A Domain Ontology Modelling Metho
Pricing Strategy on B2C E-commerce from the Perspective of Mutual Influence of Price and Online Prod
Sentiment Classification of Chinese Online Reviews: Analyzing and Improving Supervised Machine Learn
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