Paper Info
Title
Herd behavior in consumers' adoption of online reviews.
Abstract
It has been demonstrated that online consumer reviews are an important source of information that affect individuals' purchase decision making. To understand the influence of online reviews, this study extends prior research on information adoption by incorporating the perspective of herd behavior. We develop and empirically test a research model using data collected from an existing book review site. We report 2 major findings. First, argument quality and source credibility predict information usefulness, which affects the adoption of online reviews. Second, we determine that the adoption of online reviews is also influenced by 2 herd factors, namely, discounting own information and imitating others. We further identify the key determinants of these herd factors, including background homophily and attitude homophily. The theoretical and practical implications are discussed.
Year
DOI
Venue
2016
10.1002/asi.23602
JASIST
Keywords
Field
DocType
empirical studies,virtual communities,electronic commerce
Herd behavior,Data mining,Source credibility,Discounting,Homophily,Computer science,Empirical research,Herd
Journal
Volume
Issue
ISSN
67
11
2330-1635
Citations 
PageRank 
References 
5
0.45
50
Authors
3
Name
Order
Citations
PageRank
Aaron X. L. Shen122116.98
Kem Z. K. Zhang217219.21
Sesia J. Zhao35311.42