Influence of robot leaders’ conflict management styles on work performance

Purpose This study aims to investigate the impact of robot leaders’ conflict management styles on work performance, focusing on the mediating roles of leader evaluation and dyadic emotional climate. It aims to explore how cooperative versus competitive conflict management styles influence outcomes and whether leader type (robot vs human) moderates these effects. Design/methodology/approach A 2 (conflict management style: cooperative, competitive) × 2 (leader type: robot leader, human leader) experimental design was used. A total of 72 participants were recruited to complete the “Lunar Survival Task” in collaboration with either a robot or human leader. Findings Teams led by leaders with a cooperative conflict management style demonstrated superior performance compared to those with a competitive style. Leader evaluation and dyadic emotional climate were found to mediate the relationship between conflict management style and work performance, with evidence of a chain mediation effect. In addition, leader type moderated the effects of conflict management style on leader evaluation and dyadic emotional climate, highlighting distinct dynamics in human–robot collaboration. Originality/value To the best of the authors’ knowledge, this study is among the first to examine the role of robot leaders’ conflict management styles in work performance, emphasizing the importance of cooperative approaches in human–robot interaction. It provides novel insights into the mediating mechanisms of leader evaluation and dyadic emotional climate, as well as the moderating role of leader type. The findings offer theoretical support and practical guidance for optimizing human–robot collaboration in team settings.

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Publication Details

Journal
International Journal of Conflict Management
Published
2026-02-06
DOI
https://doi.org/10.1108/ijcma-02-2025-0063
Primary Topic
Team Dynamics and Performance
Type
article
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article

Influence of robot leaders’ conflict management styles on work performance

Ning Chen, Mengwei Chen
International Journal of Conflict Management
Team Dynamics and Performance
article

Influence of robot leaders’ conflict management styles on work performance

Ning Chen, Mengwei Chen
article en

Abstract

Purpose This study aims to investigate the impact of robot leaders’ conflict management styles on work performance, focusing on the mediating roles of leader evaluation and dyadic emotional climate. It aims to explore how cooperative versus competitive conflict management styles influence outcomes and whether leader type (robot vs human) moderates these effects. Design/methodology/approach A 2 (conflict management style: cooperative, competitive) × 2 (leader type: robot leader, human leader) experimental design was used. A total of 72 participants were recruited to complete the “Lunar Survival Task” in collaboration with either a robot or human leader. Findings Teams led by leaders with a cooperative conflict management style demonstrated superior performance compared to those with a competitive style. Leader evaluation and dyadic emotional climate were found to mediate the relationship between conflict management style and work performance, with evidence of a chain mediation effect. In addition, leader type moderated the effects of conflict management style on leader evaluation and dyadic emotional climate, highlighting distinct dynamics in human–robot collaboration. Originality/value To the best of the authors’ knowledge, this study is among the first to examine the role of robot leaders’ conflict management styles in work performance, emphasizing the importance of cooperative approaches in human–robot interaction. It provides novel insights into the mediating mechanisms of leader evaluation and dyadic emotional climate, as well as the moderating role of leader type. The findings offer theoretical support and practical guidance for optimizing human–robot collaboration in team settings.

International Journal of Conflict ManagementVol. 37(2)
Beijing University of Chemical Technology (CN)
Climate action
Openalex Percentile: Top 70%
Team Dynamics and Performance
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