Analyzing review efficacy on Amazon.com: Does the rich grow richer?

Alton Y.K. Chua*, Snehasish Banerjee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper analyzes review efficacy on Amazon.com. Specifically, review efficacy is conceptualized as the readership and the helpfulness of reviews submitted on the website. Informed by the Matthew effect and the Ratchet effect— “the rich grow richer and the poor grow poorer,” the paper examines if reviews submitted by reputed reviewers are deemed more efficacious compared with those contributed by novices. A research framework is proposed to identify antecedents that could promote review efficacy. The antecedents include both quantitative and qualitative aspects related to review titles and descriptions. Three key findings are gleaned from the results. First, the antecedents of review readership are not necessarily identical to those of review helpfulness. Second, both titles and descriptions of reviews are related to review efficacy. Third, the antecedents of review efficacy are different for reputed and novice reviewers. The paper concludes by highlighting its theoretical contributions and implications for practice.

Original languageEnglish
Pages (from-to)501-509
Number of pages9
JournalComputers in Human Behaviour
Volume75
Early online date1 Jun 2017
DOIs
Publication statusPublished - 1 Oct 2017

Bibliographical note

© 2017 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

Keywords

  • Amazon.com
  • Review helpfulness
  • Review readership
  • Reviewer reputation

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