The impact of service attributes and category on eWOM helpfulness: An investigation of extremely negative and positive ratings using latent semantic analytics and regression analysis

被引：51
作者：
Filieri, Raffaele [1 ]
Galati, Francesco [2 ]
Raguseo, Elisabetta [3 ]
机构：
[1] Audencia Business Sch, Mkt Dept, Nantes, France
[2] Univ Parma, Dept Engn & Architecture, Parma, Italy
[3] Politecn Torino, Dept Management & Prod Engn, Turin, Italy
来源：
COMPUTERS IN HUMAN BEHAVIOR | 2021年 / 114卷
关键词：
eWOM; Extreme ratings; Review helpfulness; Hotel attributes; Hotel category; Text analytics; ONLINE CONSUMER REVIEWS; WORD-OF-MOUTH; HOTEL REVIEWS; PRODUCT REVIEWS; MODERATING ROLE; E-WOM; INFORMATION; PERFORMANCE; SATISFACTION; DIFFERENTIATION;
D O I：
10.1016/j.chb.2020.106527
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
Online reviews have become irreplaceable product/service information for many consumers. However, not all consumer reviews are deemed to be helpful. Drawing upon expectation-confirmation theory and the attribute-based model of consumer decision-making, this study investigates the role of service attributes and the moderating role of service category in the prediction of extremely positive and extremely negative ratings helpfulness. This study uses latent semantic analysis and regression analysis using a sample of 490 extremely negative and 3757 extremely positive ratings of hotels from TripAdvisor.com. Results show that some product attributes discussed in consumer reviews are particularly important in the determination of the helpfulness of consumer reviews associated with extreme ratings. Findings also suggest the moderating role of service category (i.e. hotel stars) in the relationship between hotel attributes and extreme ratings helpfulness. This study stresses the importance of service attributes and classification in the evaluation of extremely positive and extremely negative ratings helpfulness. Theoretical and managerial implications are discussed.
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页数：13
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