The impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement

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초록

Online reviews help consumers make purchasing decisions on e-commerce platforms by addressing uncertainties in online shopping. In the context of information overload, the value of review helpfulness has become increasingly evident. This study aims to explore the effects of discrete emotions on helpfulness by categorizing Ekman's six basic emotions based on arousal and valence, and extracting their probabilities from Amazon reviews using BERT (Bidirectional Encoder Representations from Transformers). The results indicate high arousal or negative emotions adversely influence review usefulness. Furthermore, anger, disgust, and fear, characterized by high arousal and displeasure, significantly affect the perceived helpfulness of the reviews. Additionally, we identify product involvement as a significant moderator, suggesting that consumers’ investment in products influences their interpretation of reviews’ emotional content. This study contributes to understanding the relationship between discrete emotions, product involvement, and review helpfulness in e-commerce, offering insights for online retailers and platform developers to enhance consumer decision-making.

키워드

Discrete emotion analysisE-commerce platformsMachine learningOnline customer reviewProduct involvementReview helpfulnessText miningDIGITAL MARKETING STRATEGIESCONSUMER REVIEWSPERCEIVED HELPFULNESSDISCRETE EMOTIONSADVERTISING WORKSHOTEL REVIEWSSATISFACTIONINTENTIONATTITUDESEARCH
제목
The impact of high arousal and displeasure on online review helpfulness: Exploring the moderating role of product involvement
저자
Yun, SeongjunJun, SoyoungKim, Jong Woo
DOI
10.1016/j.elerap.2024.101436
발행일
2024-09
유형
Article
저널명
Electronic Commerce Research and Applications
67
페이지
1 ~ 15