Understanding the determinants of online review helpfulness: A meta-analytic investigation

Hong, Hong; Xu, Di; Wang, G. Alan; Fan, Weiguo

doi:10.1016/j.dss.2017.06.007

Cited by 356 publications

(239 citation statements)

References 65 publications

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“…It was found that regret and frustration influence perception of expressed price fairness for both product and service reviews (H1a, H1b). When a person reads the review, the emotional perspective taken by the writer may have an impact on the reader (Ahmad & Laroche, 2015;Hong et al, 2017;Yin et al, 2017). Through the emotions expressed in the review, the reader can understand the expressed appraisal of emotions (Ahmad & Laroche, 2015;Yin et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Perceived helpfulness of eWOM: Emotions, fairness and rationality

Ismagilova

Dwivedi

Slade

2020

Journal of Retailing and Consumer Services

109

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Consumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions.

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Section: Discussionmentioning

confidence: 99%

Perceived helpfulness of eWOM: Emotions, fairness and rationality

Ismagilova

Dwivedi

Slade

2020

Journal of Retailing and Consumer Services

109

View full text Add to dashboard Cite

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“…Second, this study mainly focuses on the information perspective of reviews in association with review helpfulness. Even though we partly addressed reviewers' factors influencing review helpfulness, there exist other factors that are known to influence review helpfulness, such as reviewers' expertise and social relationships [4], the readability of reviews [9], etc. Including such relevant factors in empirical models can improve our understanding regarding the current findings.…”

Section: Discussionmentioning

confidence: 99%

“…With a rating of 5, a review is considered to convey positive information (i.e., positive sentiment). By conducting a metaanalysis study of the relationship between product reviews and review helpfulness, Hong et al delineated both positive and negative effects of review sentiment on the helpfulness of reviews [4]. Wu observed that positive reviews had higher helpful votes than negative reviews [21].…”

Section: Literature Reviewsmentioning

confidence: 99%

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When More is More and Less is More: Depth and Breadth of Product Reviews and Their Effects on Review Helpfulness

Son

Negahban

Lee

et al. 2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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With the growth of online shopping coupled with mobile technology, user-generated product reviews have become an important source of information for product diagnosticity. A significant academic endeavor has been made to comprehend what information factors of reviews help prospective customers better diagnose products. One such factor is review depth that is estimated by the number of a review's words. We propose review breadth as an additional factor based on a review's number of topics-the more review breadth, the more diverse information. By conducting the statistical and predictive analyses, we demonstrate that review breadth reliably measures a review's information. This study makes academic and practical contributions. For academic researchers, review breadth is worth considering as a factor to estimate a review's information over and above review depth. Based on the two information factors of review breadth and review depth, practitioners can recommend more helpful product reviews to their prospective customers.

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“…With the burgeoning growth of the Internet, online consumer reviews about goods and services have become a ubiquitous phenomenon (Hayne, Wang, & Wang, ; Hong, Xu, Wang, & Fan, ). According to PowerReviews (O'Neil, ), 95% of the people surveyed said they read online reviews regularly for researching and purchasing consumer products.…”

Section: Introductionmentioning

confidence: 99%

Online Review Characteristics and Trust: A Cross‐Country Examination

2018

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Consumers and companies are increasingly concerned about fake reviews posted online. To make appropriate managerial decisions about online reviews, it is crucial to understand what drives consumer trust in online reviews. Research examining the linkage between online reviews and trust is sporadic and lacks a comprehensive framework. To address this gap, this research investigates the individual and joint impact of three review attributes-valence, rationality, and source-on the benevolence, ability, and integrity dimensions of trustworthiness of the reviewer, which further determines trust in online reviews. Using behavioral experiments, the study finds that positive reviews, factual reviews, and reviews appearing on social networks lead to perceptions of greater benevolence, ability, and integrity than negative reviews, emotional reviews, and reviews appearing on retailer sites, respectively. In addition, review rationality and review source moderate the link between review valence and the dimensions of reviewer trustworthiness: the effect of valence is stronger for emotional reviews than for factual reviews and for retailer sites than for social networks. Furthermore, the study analyzes data from the United States and China to examine generalizability and cultural nuances of the proposed relationships. This study provides important insights into consumer trust in online reviews and offers guidelines for decision making in communication strategy, system design, and operations by manufacturers, retailers, service providers, and online platforms to more effectively manage online reviews.

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Understanding the determinants of online review helpfulness: A meta-analytic investigation

Cited by 356 publications

References 65 publications

Perceived helpfulness of eWOM: Emotions, fairness and rationality

Perceived helpfulness of eWOM: Emotions, fairness and rationality

When More is More and Less is More: Depth and Breadth of Product Reviews and Their Effects on Review Helpfulness

Online Review Characteristics and Trust: A Cross‐Country Examination

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