现存分类群
前因(行为心理学)
概念框架
质量(理念)
干预(咨询)
系统回顾
数据科学
计算机科学
知识管理
心理学
政治学
社会学
认识论
社会心理学
社会科学
精神科
哲学
生物
法学
进化生物学
梅德林
作者
Yuanyuan Wu,Eric W.T. Ngai,Pengkun Wu,Chong Wu
标识
DOI:10.1016/j.dss.2020.113280
摘要
Fake online reviews in e-commerce significantly affect online consumers, merchants, and, as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still lacks a survey that can systematically analyze and summarize its antecedents and consequences. This study proposes an antecedent–consequence–intervention conceptual framework to develop an initial research agenda for investigating fake reviews. Based on a review of the extant literature on this issue, we identify 20 future research questions and suggest 18 propositions. Notably, research on fake reviews is often limited by lack of high-quality datasets. To alleviate this problem, we comprehensively compile and summarize the existing fake reviews-related public datasets. We conclude by presenting the theoretical and practical implications of the current research.
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