Abstract
This article examines review helpfulness as a function of reviewer reputation, review rating, and review depth. In drawing data from the popular review platform Amazon, results indicate that review helpfulness is positively related to reviewer profile and review depth but is negatively related to review rating. Users seem to have a proclivity for reviews contributed by reviewers with a positive track record. They also appreciate reviews with lambasting comments and those with adequate depth. By highlighting its implications for theory and practice, the article concludes with limitations and areas for further research.
| Original language | English |
|---|---|
| Pages (from-to) | 354-362 |
| Number of pages | 9 |
| Journal | Journal of the Association for Information Science and Technology |
| Volume | 66 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 1 2015 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2014 ASIS&T.
ASJC Scopus Subject Areas
- Information Systems
- Computer Networks and Communications
- Information Systems and Management
- Library and Information Sciences
Keywords
- information science