Signalling servant leadership: How followers interpret leader behaviours

Abstract Based on over 25 years of studies on servant leadership and multiple meta‐analyses, we can safely say servant leadership positively affects individuals, teams, and organizations. Yet to reap these benefits, followers need to recognize leaders' behaviours as servant leadership. Because serving others requires time and energy, leaders may bear the costs of servant leadership without generating its benefits when those efforts go unrecognized. To address this concern, we draw on signalling theory to examine how leaders convey servant‐oriented intentions through observable, costly behaviours. We test our hypotheses across three experiments, two conjoint analyses and one between‐subjects video‐based study to examine how followers interpret multiple leader and organizational signals. Our findings help explain the behaviour–perception mechanism through which leaders come to be recognized as servant leaders, while highlighting the complexities leaders face in signalling their intentions to followers. We show that leaders signal servant leadership through observable, costly service‐oriented behaviours, such as helping followers grow and succeed, and need to engage in these behaviours frequently and consistently. We further show that the efficacy of these signals depends on followers' levels of prosocial motivation and the signalling environment in which the leader operates, providing evidence of how followers interpret multiple signals.

Authors

Institutions

Publication Details

Journal
Journal of Management Studies
Published
2026-05-29
DOI
https://doi.org/10.1111/joms.70116
Primary Topic
Job Satisfaction and Organizational Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Signalling servant leadership: How followers interpret leader behaviours

Nathan Eva, Mitchell J. Neubert, Emily M. Hunter, Matthew Wood
Journal of Management Studies
Job Satisfaction and Organizational Behavior
article

Signalling servant leadership: How followers interpret leader behaviours

Nathan Eva, Mitchell J. Neubert, Emily M. Hunter, Matthew Wood
article en

Abstract

Abstract Based on over 25 years of studies on servant leadership and multiple meta‐analyses, we can safely say servant leadership positively affects individuals, teams, and organizations. Yet to reap these benefits, followers need to recognize leaders' behaviours as servant leadership. Because serving others requires time and energy, leaders may bear the costs of servant leadership without generating its benefits when those efforts go unrecognized. To address this concern, we draw on signalling theory to examine how leaders convey servant‐oriented intentions through observable, costly behaviours. We test our hypotheses across three experiments, two conjoint analyses and one between‐subjects video‐based study to examine how followers interpret multiple leader and organizational signals. Our findings help explain the behaviour–perception mechanism through which leaders come to be recognized as servant leaders, while highlighting the complexities leaders face in signalling their intentions to followers. We show that leaders signal servant leadership through observable, costly service‐oriented behaviours, such as helping followers grow and succeed, and need to engage in these behaviours frequently and consistently. We further show that the efficacy of these signals depends on followers' levels of prosocial motivation and the signalling environment in which the leader operates, providing evidence of how followers interpret multiple signals.

Journal of Management Studies
Baylor University (US), Monash Health (AU), University of Oklahoma (US)
Openalex Percentile: Top 4%
Job Satisfaction and Organizational Behavior
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.