An examination of the joint impacts of review content and reviewer characteristics on review usefulness-the case of Yelp.com

Li Jing, Xu Xin, Wai Ting Ngai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

We examine the interaction effects of review content (certainty) and reviewer characteristics (popularity and expertise) on consumer judgment of review usefulness. Utilizing an extended Poisson regression model, we empirically tested the joint impacts based on 5426 reviews from Yelp.com about 968 restaurants. Our results indicate that (1) reviewer popularity negatively interacts with certainty to affect review usefulness and (2) in contrast, reviewer expertise positively interacts with certainty to affect review usefulness. These findings add new insights into online review research and offer practical implications for online review platforms.
Original languageEnglish
Title of host publicationAMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems
PublisherAssociation for Information Systems
Publication statusPublished - 1 Jan 2016
Event22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016 - San Diego, United States
Duration: 11 Aug 201614 Aug 2016

Conference

Conference22nd Americas Conference on Information Systems: Surfing the IT Innovation Wave, AMCIS 2016
Country/TerritoryUnited States
CitySan Diego
Period11/08/1614/08/16

Keywords

  • Certainty tone
  • Review usefulness
  • Reviewer expertise
  • Reviewer popularity
  • Social media

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Information Systems

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