
“Highly Recommended!” The Content Characteristics and Perceived Usefulness of Online Consumer Reviews
Author(s) -
Willemsen Lotte M.,
Neijens Peter C.,
Bronner Fred,
de Ridder Jan A.
Publication year - 2011
Publication title -
journal of computer‐mediated communication
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.15
H-Index - 119
ISSN - 1083-6101
DOI - 10.1111/j.1083-6101.2011.01551.x
Subject(s) - psychology , content (measure theory) , argumentation theory , diversity (politics) , content analysis , product (mathematics) , social psychology , marketing , applied psychology , business , sociology , social science , epistemology , mathematics , philosophy , geometry , anthropology , mathematical analysis
The aim of the present study was to gain a better understanding of the content characteristics that make online consumer reviews a useful source of consumer information. To this end, we content analyzed reviews of experience and search products posted on Amazon.com (N = 400). The insights derived from this content analysis were linked with the proportion of ‘useful’ votes that reviews received from fellow consumers. The results show that content characteristics are paramount to understanding the perceived usefulness of reviews. Specifically, argumentation (density and diversity) served as a significant predictor of perceived usefulness, as did review valence although this latter effect was contingent on the type of product (search or experience) being evaluated in reviews. The presence of expertise claims appeared to be weakly related to the perceived usefulness of reviews. The broader theoretical, methodological and practical implications of these findings are discussed.