Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93639
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Management and Marketingen_US
dc.creatorWu, Yen_US
dc.creatorNgai, EWTen_US
dc.creatorWu, Pen_US
dc.creatorWu, Cen_US
dc.date.accessioned2022-07-19T08:13:58Z-
dc.date.available2022-07-19T08:13:58Z-
dc.identifier.issn0167-9236en_US
dc.identifier.urihttp://hdl.handle.net/10397/93639-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2020 Elsevier B.V. All rights reserved.en_US
dc.rights© 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/.en_US
dc.rightsThe 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.en_US
dc.subjectAntecedents and consequencesen_US
dc.subjectElectronic commerceen_US
dc.subjectFake reviewen_US
dc.subjectLiterature reviewen_US
dc.subjectOnline reviewen_US
dc.titleFake online reviews : literature review, synthesis, and directions for future researchen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume132en_US
dc.identifier.doi10.1016/j.dss.2020.113280en_US
dcterms.abstractFake 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationDecision support systems, May 2020, v. 132, 113280en_US
dcterms.isPartOfDecision support systemsen_US
dcterms.issued2020-05-
dc.identifier.scopus2-s2.0-85081257189-
dc.identifier.eissn1873-5797en_US
dc.identifier.artn113280en_US
dc.description.validate202207 bchyen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberMM-0090-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextMinistry of Education of China; Natural Science Foundation of Hunan Provinceen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS26286212-
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Wu_Fake_Online_Reviews.pdfPre-Published version1.08 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

96
Last Week
0
Last month
Citations as of May 12, 2024

Downloads

1,292
Citations as of May 12, 2024

SCOPUSTM   
Citations

213
Citations as of May 16, 2024

WEB OF SCIENCETM
Citations

158
Citations as of May 16, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.