How prior users' helpfulness votes on a review influence subsequent users' trust of the review and corresponding product evaluations in e-commerce context

Jing Li, Xin Xu, Eric Ngai

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

Abstract

We focus on how two numeric characteristics of prior users' votes influence user's attitude towards the product/service reviewed. These characteristics are 1) vote ratio and 2) vote magnitude. The former is the ratio of prior viewers who believe that a review is helpful, and the latter is the total number of prior viewers who vote the review. We draw on social influence theory and propose vote ratio influential across positive and negative reviews but vote magnitude influential only for negative reviews. We conduct two experiments to test the research model. Our research finds that regardless of the valence of reviews, vote ratio enhances trustworthiness and guide corresponding product evaluation. By contrast, vote magnitude is significantly influential only for the negative review. These findings contribute to review helpfulness literature and extend social influence theory. Our research also provides practical implications for online voting system providers, general participatory sites, and online retailers.

Original languageEnglish
Title of host publicationAmericas Conference on Information Systems 2018
Subtitle of host publicationDigital Disruption, AMCIS 2018
PublisherAssociation for Information Systems
ISBN (Print)9780996683166
Publication statusPublished - Aug 2018
Event24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018 - New Orleans, United States
Duration: 16 Aug 201818 Aug 2018

Publication series

NameAmericas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018

Conference

Conference24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018
Country/TerritoryUnited States
CityNew Orleans
Period16/08/1818/08/18

Keywords

  • Helpfulness voting system
  • Social influence
  • Trust
  • Vote magnitude
  • Vote ratio

ASJC Scopus subject areas

  • Information Systems

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