The Impact of AI Customer Service Incivility on Consumer Service Experience in Retail E-Commerce Platforms: An E-Politeness Perspective

While AI customer service has effectively contributed to cost reduction and operational efficiency on retail e-commerce platforms, its interactional shortcomings—particularly in the form of “incivility”—have significantly undermined consumer service experiences. Adopting a service politeness perspective, this study systematically investigates how uncivil behaviors exhibited by AI agents trigger negative consumer responses. Using the Critical Incident Technique, 325 valid negative incidents were collected from major Chinese social media platforms and subjected to qualitative analysis. Findings reveal six core dimensions of uncivil AI behavior: problem-solving efficacy, response accuracy, human handover, empathetic engagement, system stability, and reliability of commitment. Among these, issues related to human handover (29.23%) and response accuracy (26.15%) were the most prevalent. This study not only fills a theoretical gap in the politeness dimension of AI service experience but also provides actionable insights and empirical support for optimizing human–machine interaction design in digital commerce. Based on the findings, targeted recommendations are proposed for four key stakeholders—platform governance, technical functionality, merchants, and consumers—to collectively enhance the quality and civility of AI-driven customer service.

Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2025-11-28
DOI
https://doi.org/10.6007/ijarbss/v15-i11/26944
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of AI Customer Service Incivility on Consumer Service Experience in Retail E-Commerce Platforms: An E-Politeness Perspective

International Journal of Academic Research in Business and Social Sciences
AI in Service Interactions
article

The Impact of AI Customer Service Incivility on Consumer Service Experience in Retail E-Commerce Platforms: An E-Politeness Perspective

article en

Abstract

While AI customer service has effectively contributed to cost reduction and operational efficiency on retail e-commerce platforms, its interactional shortcomings—particularly in the form of “incivility”—have significantly undermined consumer service experiences. Adopting a service politeness perspective, this study systematically investigates how uncivil behaviors exhibited by AI agents trigger negative consumer responses. Using the Critical Incident Technique, 325 valid negative incidents were collected from major Chinese social media platforms and subjected to qualitative analysis. Findings reveal six core dimensions of uncivil AI behavior: problem-solving efficacy, response accuracy, human handover, empathetic engagement, system stability, and reliability of commitment. Among these, issues related to human handover (29.23%) and response accuracy (26.15%) were the most prevalent. This study not only fills a theoretical gap in the politeness dimension of AI service experience but also provides actionable insights and empirical support for optimizing human–machine interaction design in digital commerce. Based on the findings, targeted recommendations are proposed for four key stakeholders—platform governance, technical functionality, merchants, and consumers—to collectively enhance the quality and civility of AI-driven customer service.

International Journal of Academic Research in Business and Social SciencesVol. 15(11)
Department of Education of Guangdong Province, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 21%
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.