AI chatbot service recovery quality and customer experience: a moderated mediation model of continuance usage intention

Purpose This study aims to investigate the direct and indirect relationship between AI chatbot service recovery quality (SRQ) and its continuance usage intention through the stimulus-organism-response (SOR) model. The moderating role of perceived animacy, through the mediation of customer experience, is also examined based on the Uncanny Valley Theory. Design/methodology/approach Two survey-based studies were conducted to test the mediation and moderated mediation frameworks, respectively. Study 1 recruited 159 American participants from the online panel Prolific, while Study 2 recruited 269 students from a large private university in Malaysia. Data were analyzed using SmartPLS 4.0 and the conditional indirect effects were examined using PROCESS Macro. Findings Study 1 revealed a significant partial mediation effect of customer experience between AI chatbot SRQ and continuance usage intention. Study 2 found a significant moderated mediation effect of perceived animacy; as perceived animacy increases, the positive impact of SRQ on customer experience decreases, ultimately lowering continuance usage intention. Interestingly, the conditional indirect effect of perceived animacy was found to become insignificant at a higher level (+1 SD). Originality/value Our multi-study approach enhances the nomological validity of the SOR Model and offers cross-sample validation of E-RecS-QUAL dimensions in a technology-mediated service context. The inclusion of perceived animacy adds psychological depth, offering insights for service providers seeking to improve AI chatbots’ service quality and customer experience.

Authors

Institutions

Publication Details

Journal
Journal of Consumer Marketing
Published
2026-01-05
DOI
https://doi.org/10.1108/jcm-02-2025-7638
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

AI chatbot service recovery quality and customer experience: a moderated mediation model of continuance usage intention

Sarabjit Kaur Sidhu, Kim Leng Khoo, Mei Kei Leong
Journal of Consumer Marketing
AI in Service Interactions
article

AI chatbot service recovery quality and customer experience: a moderated mediation model of continuance usage intention

Sarabjit Kaur Sidhu, Kim Leng Khoo, Mei Kei Leong
article en

Abstract

Purpose This study aims to investigate the direct and indirect relationship between AI chatbot service recovery quality (SRQ) and its continuance usage intention through the stimulus-organism-response (SOR) model. The moderating role of perceived animacy, through the mediation of customer experience, is also examined based on the Uncanny Valley Theory. Design/methodology/approach Two survey-based studies were conducted to test the mediation and moderated mediation frameworks, respectively. Study 1 recruited 159 American participants from the online panel Prolific, while Study 2 recruited 269 students from a large private university in Malaysia. Data were analyzed using SmartPLS 4.0 and the conditional indirect effects were examined using PROCESS Macro. Findings Study 1 revealed a significant partial mediation effect of customer experience between AI chatbot SRQ and continuance usage intention. Study 2 found a significant moderated mediation effect of perceived animacy; as perceived animacy increases, the positive impact of SRQ on customer experience decreases, ultimately lowering continuance usage intention. Interestingly, the conditional indirect effect of perceived animacy was found to become insignificant at a higher level (+1 SD). Originality/value Our multi-study approach enhances the nomological validity of the SOR Model and offers cross-sample validation of E-RecS-QUAL dimensions in a technology-mediated service context. The inclusion of perceived animacy adds psychological depth, offering insights for service providers seeking to improve AI chatbots’ service quality and customer experience.

Journal of Consumer MarketingVol. 43(2)
Monash University Malaysia (MY), Taylor's University (MY)
Openalex Percentile: Top 96%
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.

AI chatbot service recovery quality and customer experience: a moderated mediation model of continuance usage intention — Sarabjit Kaur Sidhu, Kim Leng Khoo, et al. · Journal of Consumer Marketing (2026) | TGRS Research Map | TGRS