Understanding online review helpfulness: a pleasure-arousal-dominance (PAD) model perspective

被引:10
作者
Xu, Wuhuan [1 ]
Yao, Zhong [1 ]
He, Dandan [1 ]
Cao, Ling [1 ]
机构
[1] BeiHang Univ, Sch Econ & Management, Beijing, Peoples R China
关键词
Review emotion; PAD model; Review helpfulness; Product type; Zero-inflated negative binomial regression; Text mining; Emotion lexicon; PERCEIVED HELPFULNESS; CONSUMER REVIEWS; PRODUCT; INFORMATION; EXPERIENCE; CONTRIBUTE; EMOTIONS; BIAS; CUES;
D O I
10.1108/AJIM-04-2023-0121
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
PurposeDrawing on the pleasure-arousal-dominance (PAD) emotion model, the emotional states of consumers embedded in online reviews can be described through three dimensions, that is, pleasure, arousal and dominance, rather than only the one-dimensional positive and negative polarity, as in previous studies. Therefore, this study aims to explore the effect of online review emotion on perceived review helpfulness based on these three basic emotional dimensions.Design/methodology/approachA lexicon-based method is developed to analyze PAD emotions of online reviews from JD.com. The zero-inflated negative binomial regression is utilized to empirically validate the study hypothesis. The authors examine the influence of pleasure, arousal, dominance, emotion diversity and emotion deviation on review helpfulness, as well as the moderating effect of product type on the relationship between all independent variables and online review helpfulness.FindingsThe study results show that the pleasure emotion impairs the helpfulness of online reviews, while the arousal and dominance emotions have a positive impact. Moreover, the authors find that compared with search products, the effects of pleasure, arousal and dominance on perceived helpfulness are strengthened for experience products. However, the emotional diversity and emotional deviation have opposite effects on the helpfulness of search products and experience products. Additionally, the results show that dominance emotion plays a more important role in the interaction effect.Originality/valueThe empirical findings confirm the applicability of PAD in the online review context and extend the existing knowledge of the influence of review emotion on helpfulness. A feasible scheme for extracting PAD variables from Chinese text is developed. The study findings also have significant implications for reviewers, merchants and platform managers of e-commerce websites.
引用
收藏
页码:391 / 412
页数:22
相关论文
共 63 条
[11]   Discrete emotions effects on electronic word-of-mouth helpfulness: The moderating role of reviewer gender and contextual emotional tone [J].
Craciun, Georgiana ;
Zhou, Wenqi ;
Shan, Zhe .
DECISION SUPPORT SYSTEMS, 2020, 130
[12]   Reducing Discrimination with Reviews in the Sharing Economy: Evidence from Field Experiments on Airbnb [J].
Cui, Ruomeng ;
Li, Jun ;
Zhang, Dennis J. .
MANAGEMENT SCIENCE, 2020, 66 (03) :1071-1094
[13]   Testing for zero inflation in count models: Bias correction for the Vuong test [J].
Desmarais, Bruce A. ;
Harden, Jeffrey J. .
STATA JOURNAL, 2013, 13 (04) :810-835
[14]   Quantifying the effects of online review content structures on hotel review helpfulness [J].
Fan, Wenjie ;
Liu, Yong ;
Li, Hongxiu ;
Tuunainen, Virpi Kristiina ;
Lin, Yanqing .
INTERNET RESEARCH, 2021, 32 (07) :202-227
[15]   Extremely Negative Ratings and Online Consumer Review Helpfulness: The Moderating Role of Product Quality Signals [J].
Filieri, Raffaele ;
Vitari, Claudio ;
Raguseo, Elisabetta .
JOURNAL OF TRAVEL RESEARCH, 2021, 60 (04) :699-717
[16]   When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type [J].
Filieri, Raffaele ;
Raguseo, Elisabetta ;
Vitari, Claudio .
COMPUTERS IN HUMAN BEHAVIOR, 2018, 88 :134-142
[17]   Effects of membership tier on user content generation behaviors: evidence from online reviews [J].
Fu, Dongpu ;
Hong, Yili ;
Wang, Kanliang ;
Fan, Weiguo .
ELECTRONIC COMMERCE RESEARCH, 2018, 18 (03) :457-483
[18]   Examining the relationship between specific negative emotions and the perceived helpfulness of online reviews [J].
Gang, Ren ;
Taeho, Hong .
INFORMATION PROCESSING & MANAGEMENT, 2019, 56 (04) :1425-1438
[19]   Application of Data Science for Understanding Emotional Dimensional Behavior and Their Connection to Uncertainty and Risk Behavior [J].
Grgic, Demijan ;
Podobnik, Vedran .
IEEE ACCESS, 2021, 9 :72624-72636
[20]  
Hall M., 2017, The Journal of Social Media in Society, V6, P144