TY  - JOUR
AB  - Purpose– The current research aims to explore variables that explain the differences in online reviewers' behavior. Design/methodology/approach– The authors' panel dataset is compiled from Amazon.com's book section and uses publicly available information about reviewers in combination with the reviews they wrote. The authors utilize the Pareto/NBD model with time-invariant covariates. The model's parameters are estimated using maximum likelihood estimates (MLE) with MATLAB software. Findings– This study contributes to the literature by exploring how the characteristics of reviews and the reviewers might shape consumer review frequency and continuity. Specifically, the authors' results show that review ratings, comments on a review, and helpful votes have a positive association with review frequency and continuity. Furthermore, the length of the textual review has a positive relationship with review frequency, but a negative relationship with review continuity. Relative to anonymous reviewers, people who write reviews and use their real names post reviews less often, but their review continuity is longer. Originality/value– This paper is the first to identify empirically variables that explain review frequency and continuity, thus enabling companies to gain a better understanding of their reviewer base and hence to manage online word-of-mouth more efficiently. It is the first study to apply a well-known behavioral model to address online review behavior.
VL  - 47
IS  - 10
SN  - 0309-0566
DO  - 10.1108/EJM-11-2011-0625
UR  - https://doi.org/10.1108/EJM-11-2011-0625
AU  - Chen Hua-Ning
AU  - Huang Chun-Yao
PY  - 2013
Y1  - 2013/01/01
TI  - An investigation into online reviewers' behavior
T2  - European Journal of Marketing
PB  - Emerald Group Publishing Limited
SP  - 1758
EP  - 1773
Y2  - 2024/04/18
ER  -