Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93639
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Title: Fake online reviews : literature review, synthesis, and directions for future research
Authors: Wu, Y 
Ngai, EWT 
Wu, P 
Wu, C
Issue Date: May-2020
Source: Decision support systems, May 2020, v. 132, 113280
Abstract: 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.
Keywords: Antecedents and consequences
Electronic commerce
Fake review
Literature review
Online review
Publisher: Elsevier
Journal: Decision support systems 
ISSN: 0167-9236
EISSN: 1873-5797
DOI: 10.1016/j.dss.2020.113280
Rights: © 2020 Elsevier B.V. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Wu, Y., Ngai, E. W., Wu, P., & Wu, C. (2020). Fake online reviews: Literature review, synthesis, and directions for future research. Decision Support Systems, 132, 113280 is available at https://doi.org/10.1016/j.dss.2020.113280.
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