TY - JOUR
T1 - Exploring Determinants of Attraction and Helpfulness of Online Product Review
T2 - A Consumer Behaviour Perspective
AU - Chen, Xu
AU - Sheng, Jie
AU - Wang, Xiaojun
AU - Deng, Jiangshan
N1 - Publisher Copyright:
© 2016 Xu Chen et al.
PY - 2016
Y1 - 2016
N2 - To assist filtering and sorting massive review messages, this paper attempts to examine the determinants of review attraction and helpfulness. Our analysis divides consumers' reading process into "notice stage" and "comprehend stage" and considers the impact of "explicit information" and "implicit information" of review attraction and review helpfulness. 633 online product reviews were collected from Amazon China. A mixed-method approach is employed to test the conceptual model proposed for examining the influencing factors of review attraction and helpfulness. The empirical results show that reviews with negative extremity, more words, and higher reviewer rank easily gain more attraction and reviews with negative extremity, higher reviewer rank, mixed subjective property, and mixed sentiment seem to be more helpful. The research findings provide some important insights, which will help online businesses to encourage consumers to write good quality reviews and take more active actions to maximise the value of online reviews.
AB - To assist filtering and sorting massive review messages, this paper attempts to examine the determinants of review attraction and helpfulness. Our analysis divides consumers' reading process into "notice stage" and "comprehend stage" and considers the impact of "explicit information" and "implicit information" of review attraction and review helpfulness. 633 online product reviews were collected from Amazon China. A mixed-method approach is employed to test the conceptual model proposed for examining the influencing factors of review attraction and helpfulness. The empirical results show that reviews with negative extremity, more words, and higher reviewer rank easily gain more attraction and reviews with negative extremity, higher reviewer rank, mixed subjective property, and mixed sentiment seem to be more helpful. The research findings provide some important insights, which will help online businesses to encourage consumers to write good quality reviews and take more active actions to maximise the value of online reviews.
UR - http://www.scopus.com/inward/record.url?scp=85006165726&partnerID=8YFLogxK
U2 - 10.1155/2016/9354519
DO - 10.1155/2016/9354519
M3 - Review article
AN - SCOPUS:85006165726
SN - 1026-0226
VL - 2016
JO - Discrete Dynamics in Nature and Society
JF - Discrete Dynamics in Nature and Society
M1 - 9354519
ER -
