Do Differentiated Leader–Follower Relationships Matter for Collective Emotion? A Multilevel Investigation of LMX Differentiation, Work Group Positive Affect, and Trickle‐Out Effects on Customer Outcomes

ABSTRACT Emotions pervade work groups and shape employee–customer interactions, yet little is known about how differentiated leader–member relationships shape affective experiences within work groups and beyond. Drawing on the integrated social comparison and emotion contagion framework, we examine the role of LMX differentiation on both employee and customer affective and service‐related outcomes. Using multilevel data from 1608 hair salon employees nested within 165 salons and 3139 customers, we test a model linking LMX differentiation to group positive affective tone and positive affective variation within the salon. We further examine trickle‐out effects on customers by testing the indirect effects of LMX differentiation on customer positive affective experiences and customer perceptions of service quality. Our results show that LMX differentiation is negatively related to work group positive affective tone, whereas positively related to work group positive affective variation. We further find support for a serial mediation effect of LMX differentiation on customer perceptions of service quality via group positive affective tone (but not group affective variation) and customer positive affective experience. Our findings underscore the pivotal role of LMX differentiation in shaping collective affect within the leader's work group and beyond group boundaries, influencing customer experiences.

Authors

Institutions

Publication Details

Journal
Journal of Organizational Behavior
Published
2026-02-03
DOI
https://doi.org/10.1002/job.70068
Primary Topic
Emotional Labor in Professions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do Differentiated Leader–Follower Relationships Matter for Collective Emotion? A Multilevel Investigation of LMX Differentiation, Work Group Positive Affect, and Trickle‐Out Effects on Customer Outcomes

Marisa Plater, Yuyan Zheng, Olga Epitropaki, Les Graham
Journal of Organizational Behavior
Emotional Labor in Professions
article

Do Differentiated Leader–Follower Relationships Matter for Collective Emotion? A Multilevel Investigation of LMX Differentiation, Work Group Positive Affect, and Trickle‐Out Effects on Customer Outcomes

Marisa Plater, Yuyan Zheng, Olga Epitropaki, Les Graham
article en

Abstract

ABSTRACT Emotions pervade work groups and shape employee–customer interactions, yet little is known about how differentiated leader–member relationships shape affective experiences within work groups and beyond. Drawing on the integrated social comparison and emotion contagion framework, we examine the role of LMX differentiation on both employee and customer affective and service‐related outcomes. Using multilevel data from 1608 hair salon employees nested within 165 salons and 3139 customers, we test a model linking LMX differentiation to group positive affective tone and positive affective variation within the salon. We further examine trickle‐out effects on customers by testing the indirect effects of LMX differentiation on customer positive affective experiences and customer perceptions of service quality. Our results show that LMX differentiation is negatively related to work group positive affective tone, whereas positively related to work group positive affective variation. We further find support for a serial mediation effect of LMX differentiation on customer perceptions of service quality via group positive affective tone (but not group affective variation) and customer positive affective experience. Our findings underscore the pivotal role of LMX differentiation in shaping collective affect within the leader's work group and beyond group boundaries, influencing customer experiences.

Journal of Organizational BehaviorVol. 47(3)
Durham University (GB), University of Surrey (GB)
Openalex Percentile: Top 72%
Emotional Labor in Professions
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.