Something Smells Fishy: How Sales Assistant Types and Suspicion Influence Perceived Message Credibility

ABSTRACT While prior research has demonstrated that consumers generally respond more positively to human sales assistants than to AI during service encounters, limited attention has been given to situations when the opposite might be true. Across five experiments, we find that particularly in a sales situation characterized by an evident persuasion attempt, consumers consider messages communicated by AI sales assistants more credible than those from human counterparts. This difference stems from the lay belief that AI sales assistants are less likely to have hidden motives, making consumers less suspicious. We further show that such a difference is diminished when AI sales assistants are associated with company‐specific information, which prompts consumers to think about the company and its hidden motives in the sales encounter. Our findings contribute to the literature on consumer–AI interactions by demonstrating that consumers' attribution of persuasive intent is influenced by both the nature of the sales assistant (i.e., human vs. AI) and contextual cues that indirectly signal persuasive intent (i.e., company‐specific information). These insights have practical implications for the design of AI‐driven sales strategies, suggesting ways to leverage AI without triggering consumer suspicion.

Authors

Institutions

Publication Details

Journal
Journal of Consumer Behaviour
Published
2025-09-23
DOI
https://doi.org/10.1002/cb.70048
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

Something Smells Fishy: How Sales Assistant Types and Suspicion Influence Perceived Message Credibility

Kyu-Sung Hwang, Yeosun Yoon, Eunkyung Lee
Journal of Consumer Behaviour
AI in Service Interactions
article

Something Smells Fishy: How Sales Assistant Types and Suspicion Influence Perceived Message Credibility

Kyu-Sung Hwang, Yeosun Yoon, Eunkyung Lee
article en

Abstract

ABSTRACT While prior research has demonstrated that consumers generally respond more positively to human sales assistants than to AI during service encounters, limited attention has been given to situations when the opposite might be true. Across five experiments, we find that particularly in a sales situation characterized by an evident persuasion attempt, consumers consider messages communicated by AI sales assistants more credible than those from human counterparts. This difference stems from the lay belief that AI sales assistants are less likely to have hidden motives, making consumers less suspicious. We further show that such a difference is diminished when AI sales assistants are associated with company‐specific information, which prompts consumers to think about the company and its hidden motives in the sales encounter. Our findings contribute to the literature on consumer–AI interactions by demonstrating that consumers' attribution of persuasive intent is influenced by both the nature of the sales assistant (i.e., human vs. AI) and contextual cues that indirectly signal persuasive intent (i.e., company‐specific information). These insights have practical implications for the design of AI‐driven sales strategies, suggesting ways to leverage AI without triggering consumer suspicion.

Journal of Consumer BehaviourVol. 24(6)
Korea Advanced Institute of Science and Technology (KR), Kyungpook National University (KR), Korea Atomic Industrial Forum (KR), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 86%
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.

Something Smells Fishy: How Sales Assistant Types and Suspicion Influence Perceived Message Credibility — Kyu-Sung Hwang, Yeosun Yoon, et al. · Journal of Consumer Behaviour (2025) | TGRS Research Map | TGRS