The Effects of Negative Online Reviews on Purchase Intention and the Moderating Roles of Corporate and AI Chatbot Responses: Focusing on Luxury Brands

This study empirically examines how negative online reviews affect consumers’ purchase intentions for luxury brands and compares the moderating effects of corporate versus chatbot responses. Negative reviews were classified into price, quality, and service related types, and a scenario based online survey using luxury brand was conducted. PLS-SEM analysis revealed that negative reviews significantly decreased purchase intention across all three categories. However, only service related reviews showed a statistically significant moderating effect of response type. Price and quality, perceived as intrinsic values of luxury brands, remained unaffected by rebuttals, while service related reviews were influenced by official corporate or chatbot responses, which alleviated negative perceptions and partially restored purchase intention. These findings suggest that consumers perceive service as an interactive, alterable element, unlike price or quality. The study provides theoretical insights into online review communication as practical implications for reputation management strategies in luxury brand digital marketing.

Authors

Publication Details

Journal
The Journal of Internet Electronic Commerce Resarch
Published
2025-12-31
DOI
https://doi.org/10.37272/jiecr.2025.12.25.6.235
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effects of Negative Online Reviews on Purchase Intention and the Moderating Roles of Corporate and AI Chatbot Responses: Focusing on Luxury Brands

Stella Yoon, Hajin Shin, Hee-Dong Yang, Sulim Kim
The Journal of Internet Electronic Commerce Resarch
AI in Service Interactions
article

The Effects of Negative Online Reviews on Purchase Intention and the Moderating Roles of Corporate and AI Chatbot Responses: Focusing on Luxury Brands

Stella Yoon, Hajin Shin, Hee-Dong Yang, Sulim Kim
article en

Abstract

This study empirically examines how negative online reviews affect consumers’ purchase intentions for luxury brands and compares the moderating effects of corporate versus chatbot responses. Negative reviews were classified into price, quality, and service related types, and a scenario based online survey using luxury brand was conducted. PLS-SEM analysis revealed that negative reviews significantly decreased purchase intention across all three categories. However, only service related reviews showed a statistically significant moderating effect of response type. Price and quality, perceived as intrinsic values of luxury brands, remained unaffected by rebuttals, while service related reviews were influenced by official corporate or chatbot responses, which alleviated negative perceptions and partially restored purchase intention. These findings suggest that consumers perceive service as an interactive, alterable element, unlike price or quality. The study provides theoretical insights into online review communication as practical implications for reputation management strategies in luxury brand digital marketing.

The Journal of Internet Electronic Commerce ResarchVol. 25(6)
Openalex Percentile: Top 15%
AI in Service Interactions
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.

The Effects of Negative Online Reviews on Purchase Intention and the Moderating Roles of Corporate and AI Chatbot Responses: Focusing on Luxury Brands — Stella Yoon, Hajin Shin, et al. · The Journal of Internet Electronic Commerce Resarch (2025) | TGRS Research Map | TGRS