Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101925
Title: Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth
Authors: Banerjee, Snehasish
Chua, Alton Yeow Kuan
Issue Date: 2014
Source: Chua, A. Y. K., & Banerjee, S. (2014). Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth. Journal of the Association for Information Science and Technology, 66(2), 354-362.
Series/Report no.: Journal of the Association for Information Science and Technology
Abstract: This article examines review helpfulness as a function of reviewer reputation, review rating, and review depth. In drawing data from the popular review platform Amazon, results indicate that review helpfulness is positively related to reviewer profile and review depth but is negatively related to review rating. Users seem to have a proclivity for reviews contributed by reviewers with a positive track record. They also appreciate reviews with lambasting comments and those with adequate depth. By highlighting its implications for theory and practice, the article concludes with limitations and areas for further research.
URI: https://hdl.handle.net/10356/101925
http://hdl.handle.net/10220/38693
ISSN: 2330-1635
DOI: 10.1002/asi.23180
Rights: © 2014 ASIS&T. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of the Association for Information Science and Technology, ASIS&T. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1002/asi.23180].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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