Understanding the determinants of online review helpfulness: A meta-analytic investigation

被引:350
作者
Hong, Hong [1 ]
Xu, Di [1 ]
Wang, G. Alan [2 ]
Fan, Weiguo [3 ]
机构
[1] Xiamen Univ, Sch Management, Xiamen, Fujian, Peoples R China
[2] Virginia Tech, Dept Business Informat Technol, Blacksburg, VA 24061 USA
[3] Virginia Tech, Dept Accounting & Informat Syst, Blacksburg, VA USA
基金
中国国家自然科学基金;
关键词
Online customer reviews; Review helpfulness; Meta-analysis; Review; WORD-OF-MOUTH; CONSUMER REVIEWS; PRODUCT REVIEWS; PERCEIVED USEFULNESS; MODERATING ROLE; SALES; INFORMATION; IMPACT; ANTECEDENTS; CONSEQUENCES;
D O I
10.1016/j.dss.2017.06.007
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Online consumer reviews can help customers reduce uncertainty and risks faced in online shopping. However, the studies examining the determinants of perceived review helpfulness produce mixed findings. We review extant research about the determinant factors of perceived online review helpfulness. All review related determinants (i.e., review depth, review readability, linear review rating, quadratic review rating, review age) and two reviewer related determinants (i.e., reviewer information disclosure and reviewer expertise) are found to have inconsistent conclusions on how they affect perceived review helpfulness. We conduct a meta-analysis to examine those determinant factors in order to reconcile the contradictory findings about their influence on perceived review helpfulness. The meta-analysis results affirm that review depth, review age, reviewer information disclosure, and reviewer expertise have positive influences on review helpfulness. Review readability and review rating are found to have no significant influence on review helpfulness. Moreover, we find that helpfulness measurement, online review platform, and product type are the three factors that cause mixed findings in extant research. Published by Elsevier B.V.
引用
收藏
页码:1 / 11
页数:11
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