Journal
DECISION SUPPORT SYSTEMS
Volume 132, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.dss.2020.113280
Keywords
Electronic commerce; Fake review; Online review; Literature review; Antecedents and consequences
Categories
Funding
- Humanities and Social Sciences Fund of Ministry of Education of China
- Natural Science Foundation of Hunan Province [2019JJ50403]
- Fundamental Research Funds for the Central Universities
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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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