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搜索型商品评论有用性影响因素研究

何有世 李娜

情报杂志2016,Vol.35Issue(12):202-206,201,6.
情报杂志2016,Vol.35Issue(12):202-206,201,6.DOI:10.3969/j.issn.1002-1965.2016.12.036

搜索型商品评论有用性影响因素研究

Research on the Impact Factors of the Helpfulness of the Search Product Reviews

何有世 1李娜2

作者信息

  • 1. 江苏大学 管理学院 镇江 212013
  • 2. 江苏大学 财经学院 镇江 212013
  • 折叠

摘要

Abstract

Purpose/Significance] Because the characteristics of online search product reviews exhibit massiveness, complexity and varie-ty, mining effective review information requires timeliness and accuracy on the objective. Therefore, to explore the impact factors of the helpfulness of online reviews has important guiding significance for establishing an effective evaluation system. [ Method/Process] This pa-per adopts the Information Adoption Model as the theoretical basis and takes online reviews of the search product as the research object. From the source and content of reviews, on the basis of previous studies, we add business services, product information and logistics infor-mation as three variables and establish a model of online reviews helpfulness impact factor. Besides, the paper focuses on discussing the impact of the richness and completeness of the reviews on review helpfulness. Factors contributing to review helpfulness and the interaction mechanism among them have been empirically studied by using six kinds of relevant online reviews of the search products captured on Am-azon. com. [ Result/Conclusion] The results show that, the more the content of the reviews, the more the reviews mention commodity properties of the products, the more the reviews include the evaluation of businesses service, the better the reviews express the subjectivity of the reviewers, the lower star level of the reviews, the better reviewer ranking, then the higher the helpfulness of these reviews. Howev-er, whether the reviews include the evaluation of the logistics and the timeliness of the reviews have no significant impact on review help-fulness.

关键词

商品评论/在线评论有用性/Tobit回归模型/相关性分析

Key words

online reviews/online review helpfulness/Tobit regression model/correlation analysis

分类

社会科学

引用本文复制引用

何有世,李娜..搜索型商品评论有用性影响因素研究[J].情报杂志,2016,35(12):202-206,201,6.

基金项目

国家社会科学基金项目“基于领域本体的企业产品网络口碑危机预警研究”(编号:16BGL088)研究成果之一。 (编号:16BGL088)

情报杂志

OA北大核心CHSSCDCSSCICSTPCD

1002-1965

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