TY - JOUR
T1 - When products receive reviews across platforms
T2 - Studying the platform concentration of electronic word-of-mouth
AU - Chen, Hong
AU - Duan, Wenjing
AU - Zhou, Wenqi
N1 - Publisher Copyright:
© 2021
PY - 2021/12
Y1 - 2021/12
N2 - A product can receive Electronic Word-of-Mouth (eWOM), e.g., user reviews, at both retail and review platforms, with considerable variance in volume and valence. We define such eWOM variation across platforms as the platform concentration of eWOM. A lower platform concentration is measured by a higher level of volume equality and valence equality, i.e., a more comparable number of user reviews and more consistent average ratings among multiple platforms, respectively. Results from multiple models over software data from retail and review platforms shows that volume equality and valence equality positively interact to affect online users’ product adoption decisions.
AB - A product can receive Electronic Word-of-Mouth (eWOM), e.g., user reviews, at both retail and review platforms, with considerable variance in volume and valence. We define such eWOM variation across platforms as the platform concentration of eWOM. A lower platform concentration is measured by a higher level of volume equality and valence equality, i.e., a more comparable number of user reviews and more consistent average ratings among multiple platforms, respectively. Results from multiple models over software data from retail and review platforms shows that volume equality and valence equality positively interact to affect online users’ product adoption decisions.
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U2 - 10.1016/j.im.2021.103532
DO - 10.1016/j.im.2021.103532
M3 - Article
AN - SCOPUS:85115815938
SN - 0378-7206
VL - 58
JO - Information and Management
JF - Information and Management
IS - 8
M1 - 103532
ER -