Abstract
Purpose: Drawing on attribution theory, the current paper aims to examine the effects of review content structures on online review helpfulness, focusing on three pertinent variables: review sidedness, information factuality, and emotional intensity at the beginning of a review. Moreover, the moderating roles of reviewer reputation and review sentiment are investigated. Design/methodology/approach: The review sentiment of 144,982 online hotel reviews was computed at the sentence level by considering the presence of adverbs and negative terms. Then, the authors quantified the impact of variables that were pertinent to review content structures on online review helpfulness in terms of review sidedness, information factuality and emotional intensity at the beginning of a review. Zero-inflated negative binomial regression was employed to test the model. Findings: The results reveal that review sidedness negatively affects online review helpfulness, and reviewer reputation moderates this effect. Information factuality positively affects online review helpfulness, and positive sentiment moderates this impact. A review that begins with a highly emotional statement is more likely to be perceived as less helpful. Originality/value: Using attribution theory as a theoretical lens, this study contributes to the online customer review literature by investigating the impact of review content structures on online review helpfulness and by demonstrating the important moderating effects of reviewer reputation and review sentiment. The findings can help practitioners develop effective review appraisal mechanisms and guide consumers in producing helpful reviews.
Original language | English |
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Peer-reviewed scientific journal | Internet Research |
Volume | 32 |
Issue number | 7 |
Pages (from-to) | 202-227 |
Number of pages | 26 |
ISSN | 1066-2243 |
DOIs | |
Publication status | Published - 2021 |
MoE publication type | A1 Journal article - refereed |
Keywords
- 512 Business and Management
- Attribution theory
- Emotional intensity
- Information factuality
- Online review helpfulness
- Review content structures
- Review sentiment
- Review sidedness
- Reviewer reputation
- Text analytics