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 language | English |
|---|---|
| Pages (from-to) | 501-509 |
| Number of pages | 9 |
| Journal | Computers in Human Behavior |
| Volume | 75 |
| DOIs | |
| Publication status | Published - Oct 2017 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 Elsevier Ltd
ASJC Scopus Subject Areas
- Arts and Humanities (miscellaneous)
- Human-Computer Interaction
- General Psychology
Keywords
- Amazon.com
- Review helpfulness
- Review readership
- Reviewer reputation