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An investigation into online reviewers' behavior

Hua-Ning Chen (Department of Business Administration, National Taiwan University, Taipei, Taiwan)
Chun-Yao Huang (Department of Business Administration, National Taiwan University, Taipei, Taiwan)

European Journal of Marketing

ISSN: 0309-0566

Article publication date: 20 September 2013




The current research aims to explore variables that explain the differences in online reviewers' behavior.


The authors' panel dataset is compiled from'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.


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.


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.



This paper is adapted from the first author's doctoral dissertation. Research funding from the National Science Council, Taiwan (NSC 99-2410-H-002-127-MY2) is acknowledged by both authors.


Chen, H.-N. and Huang, C.-Y. (2013), "An investigation into online reviewers' behavior", European Journal of Marketing, Vol. 47 No. 10, pp. 1758-1773.



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