When More is More and Less is More: Depth and Breadth of Product Reviews and Their Effects on Review Helpfulness

dc.contributor.authorSon, Jaebong
dc.contributor.authorNegahban, Arash
dc.contributor.authorLee, Youngsu
dc.contributor.authorConnolly, James
dc.contributor.authorChiang, Dalen
dc.date.accessioned2020-01-04T08:01:30Z
dc.date.available2020-01-04T08:01:30Z
dc.date.issued2020-01-07
dc.description.abstractWith the growth of online shopping coupled with mobile technology, user-generated product reviews have become an important source of information for product diagnosticity. A significant academic endeavor has been made to comprehend what information factors of reviews help prospective customers better diagnose products. One such factor is review depth that is estimated by the number of a review’s words. We propose review breadth as an additional factor based on a review’s number of topics—the more review breadth, the more diverse information. By conducting the statistical and predictive analyses, we demonstrate that review breadth reliably measures a review’s information. This study makes academic and practical contributions. For academic researchers, review breadth is worth considering as a factor to estimate a review’s information over and above review depth. Based on the two information factors of review breadth and review depth, practitioners can recommend more helpful product reviews to their prospective customers.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2020.507
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64249
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectFirm and User Generated Content in the Digital Economy: Key Players, Management and Impact
dc.subjectproduct reviews
dc.subjectreview breadth
dc.subjectreview depth
dc.subjectreview helpfulness
dc.subjecttopic modeling
dc.titleWhen More is More and Less is More: Depth and Breadth of Product Reviews and Their Effects on Review Helpfulness
dc.typeConference Paper
dc.type.dcmiText

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