摘要
在信息采纳理论基础上,用有效评论数、中差评、上传图片衡量评论的信息质量。根据淘宝网的海量在线评论数据构建模型,研究表明,有效评论数、中差评、上传图片对评论有用性具有显著的正向影响作用;相对于搜索品,在体验品中,中差评和上传图片对评论有用性的作用更强;卖家回复起到了中介作用,有效评论数、中差评、上传图片会正向影响卖家回复,卖家回复又会对评论有用性产生积极作用。
Based on information adoption theory,the information quality can be implied by the number of useful reviews,negative reviews and pictures.This study constructs the information adoption model and uses the massive online review data of Taobao network.The results show that the numbers of useful reviews,negative reviews and pictures have significant positive impact on the review usefulness.When it comes to experience products,the effect of negative reviews is more powerful.The sellers' reply plays a mediating role.The numbers of useful reviews,negative reviews and pictures have a positive impact on sellers' replies,then sellers' replies will have a positive effect on the review usefulness.
出处
《管理学报》
CSSCI
北大核心
2017年第1期77-85,共9页
Chinese Journal of Management
基金
国家自然科学基金资助青年项目(71203063
71303078)
上海市哲学社会科学基金资助项目(2016BGL013)
关键词
信息采纳模型
信息质量
在线评论有用性
information adoption model
information quality
online review usefulness