Quantifying the effects of online review content structures on hotel review helpfulness. Issue 7 (20th October 2021)

• Record Type: Journal Article
• Authors: Fan, Wenjie; Liu, Yong; Li, Hongxiu; Tuunainen, Virpi Kristiina; Lin, Yanqing
• Is Part Of: Internet research. Volume 32:Issue 7(2022)
• Page Start: 202
• Page End: 227
• Publication Date: 2021-10-20
• Subjects: Review content structures -- Review sidedness -- Information factuality -- Emotional intensity -- Review sentiment -- Reviewer reputation -- Online review helpfulness -- Attribution theory -- Text analytics; Internet -- Periodicals; Computer networks -- Periodicals; 004.678
• DOI: 10.1108/INTR-11-2019-0452
• Languages: English
• ISSNs: 1066-2243

Abstract

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.