Enhancing the relationship between topic relevance and review helpfulness: the moderating role of negative emotional appeals

Purpose The role of topic relevance in shaping perceptions of review helpfulness is well recognized. However, the interaction between a review’s topic relevance and its emotional appeal requires further investigation. This study explores how the topic relevance of online reviews interacts with negative emotional appeal to influence perceived helpfulness. Design/methodology/approach This study develops a theoretical model based on attribution theory, considering the topic relevance of a review, the specific emotions embedded within it, and how their interactions affect review helpfulness. First, we extracted the segmented topic relevance of reviews using the latent Dirichlet allocation model and examined its role in determining review helpfulness. We then focused on three negative emotions—anger, fear, and sadness—and tested multiple models to assess how these emotions moderate the relationship between topic relevance and review helpfulness, either by amplifying or mitigating its effects. Findings The results showed that a review’s topic relevance was positively associated with review helpfulness, though the significance of each topic varied. Moderation analyses further revealed that anger weakened the relationship between topic relevance and review helpfulness, whereas fear and sadness strengthened it. Originality/value This study contributes to literature by introducing a theoretical model that clarifies the moderating effects of negative emotional appeal on the relationship between topic relevance and review helpfulness.

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Publication Details

Journal
Industrial Management & Data Systems
Published
2025-05-06
DOI
https://doi.org/10.1108/imds-11-2024-1129
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
4.17
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article

Enhancing the relationship between topic relevance and review helpfulness: the moderating role of negative emotional appeals

One-Ki Daniel Lee, Eun-Mi Kim, Gang Ren, Taeho Hong
1 citations
Industrial Management & Data Systems
Technology Adoption and User Behaviour
4.17
article

Enhancing the relationship between topic relevance and review helpfulness: the moderating role of negative emotional appeals

One-Ki Daniel Lee, Eun-Mi Kim, Gang Ren, Taeho Hong
article en
1 citations

Abstract

Purpose The role of topic relevance in shaping perceptions of review helpfulness is well recognized. However, the interaction between a review’s topic relevance and its emotional appeal requires further investigation. This study explores how the topic relevance of online reviews interacts with negative emotional appeal to influence perceived helpfulness. Design/methodology/approach This study develops a theoretical model based on attribution theory, considering the topic relevance of a review, the specific emotions embedded within it, and how their interactions affect review helpfulness. First, we extracted the segmented topic relevance of reviews using the latent Dirichlet allocation model and examined its role in determining review helpfulness. We then focused on three negative emotions—anger, fear, and sadness—and tested multiple models to assess how these emotions moderate the relationship between topic relevance and review helpfulness, either by amplifying or mitigating its effects. Findings The results showed that a review’s topic relevance was positively associated with review helpfulness, though the significance of each topic varied. Moderation analyses further revealed that anger weakened the relationship between topic relevance and review helpfulness, whereas fear and sadness strengthened it. Originality/value This study contributes to literature by introducing a theoretical model that clarifies the moderating effects of negative emotional appeal on the relationship between topic relevance and review helpfulness.

Industrial Management & Data SystemsVol. 125(9)
Hefei University of Technology (CN), Virginia Commonwealth University (US), Pusan National University (KR)
Openalex Percentile: Top 6%
Technology Adoption and User Behaviour
4.17
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Enhancing the relationship between topic relevance and review helpfulness: the moderating role of negative emotional appeals — One-Ki Daniel Lee, Eun-Mi Kim, et al. · Industrial Management & Data Systems (2025) | TGRS Research Map | TGRS