Distal or proximal? Evidence from the effect of spatial distance on online review helpfulness

Purpose With the proliferation of user-generated reviews, uncovering helpful online reviews and enhancing review quality are increasingly challenging for potential consumers and online review platforms, especially for experiential products. Spatial distance can be a determinant to helpfulness for online reviews. Design/methodology/approach Based on online consumer review data, this study conducts quantitative analysis and robustness check to illustrate that the effect of spatial distance between locations of reviewers and hotels. Findings This study demonstrates a positive between spatial distance and review helpfulness. From the perspective of textual content processing, review concreteness and review subjectivity play a mediating role between spatial distance and review helpfulness. The findings also indicate moderated mediation effects. Review valence strengthens the mediating role of review concreteness and review subjectivity between spatial distance and review helpfulness. Originality/value Reviewers' location information has a continuous impact on review helpfulness, but the reasons for it are currently under-researched. Based on the construal level theory, this study explores the mechanism by which the persuasive effect of spatial distance can be explained by the characteristics of textual reviews.

Authors

Institutions

Publication Details

Journal
Industrial Management & Data Systems
Published
2025-10-17
DOI
https://doi.org/10.1108/imds-12-2024-1195
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distal or proximal? Evidence from the effect of spatial distance on online review helpfulness

Shuchen Qiao, Hengyun Li, Ziqiong Zhang, Zili Zhang
Industrial Management & Data Systems
Digital Marketing and Social Media
article

Distal or proximal? Evidence from the effect of spatial distance on online review helpfulness

Shuchen Qiao, Hengyun Li, Ziqiong Zhang, Zili Zhang
article en

Abstract

Purpose With the proliferation of user-generated reviews, uncovering helpful online reviews and enhancing review quality are increasingly challenging for potential consumers and online review platforms, especially for experiential products. Spatial distance can be a determinant to helpfulness for online reviews. Design/methodology/approach Based on online consumer review data, this study conducts quantitative analysis and robustness check to illustrate that the effect of spatial distance between locations of reviewers and hotels. Findings This study demonstrates a positive between spatial distance and review helpfulness. From the perspective of textual content processing, review concreteness and review subjectivity play a mediating role between spatial distance and review helpfulness. The findings also indicate moderated mediation effects. Review valence strengthens the mediating role of review concreteness and review subjectivity between spatial distance and review helpfulness. Originality/value Reviewers' location information has a continuous impact on review helpfulness, but the reasons for it are currently under-researched. Based on the construal level theory, this study explores the mechanism by which the persuasive effect of spatial distance can be explained by the characteristics of textual reviews.

Industrial Management & Data SystemsVol. 126(4)
Hong Kong Polytechnic University (HK), Shenzhen University (CN), Harbin Institute of Technology (CN)
Openalex Percentile: Top 61%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.