Network Structure of Affective Communication and Shared Emotion in Teams

This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective commu...

Full description

Bibliographic Details
Main Authors: Seung-Yoon Rhee, Hyewon Park, Jonghoon Bae
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Behavioral Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-328X/10/10/159
id doaj-ba07da0798084a69a8cd7679b7157977
record_format Article
spelling doaj-ba07da0798084a69a8cd7679b71579772020-11-25T03:52:08ZengMDPI AGBehavioral Sciences2076-328X2020-10-011015915910.3390/bs10100159Network Structure of Affective Communication and Shared Emotion in TeamsSeung-Yoon Rhee0Hyewon Park1Jonghoon Bae2Department of Business Administration, Hongik University, Seoul 04066, KoreaDepartment of Economics, Finance, & Marketing, Tennessee Technological University, Cookeville, TN 38505, USADepartment of Business Administration, Seoul National University, Seoul 08826, KoreaThis paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective communication networks involving or excluding a focal person in the process of emotional contagion by disaggregating team emotional contagion into individual acts of sending or receiving emotion-laden responses. Through an experiment with 38 pre-existing work teams, including undergraduate or MBA project teams and teams of student club or co-op officers, we found that the explicit emotional contagion mechanism was a more stable channel for emotional contagion than the implicit emotional contagion mechanism. Active participation in affective communication, measured by outdegree centrality in affective communication networks, was positively and significantly associated with emotional contagion with other members. In contrast, a team member’s passive observation of humor, measured by ego network density, led to emotional divergence when all other members engaged in humor communication. Our study sheds light on the micro-level process of emotional contagion. The individual-level process of emotional convergence varies with the relational pattern of affective networks, and emotion contagion in teams depends on the interplay of the active expresser and the passive spectator in affective networks.https://www.mdpi.com/2076-328X/10/10/159shared emotionemotional contagionaffectcommunication
collection DOAJ
language English
format Article
sources DOAJ
author Seung-Yoon Rhee
Hyewon Park
Jonghoon Bae
spellingShingle Seung-Yoon Rhee
Hyewon Park
Jonghoon Bae
Network Structure of Affective Communication and Shared Emotion in Teams
Behavioral Sciences
shared emotion
emotional contagion
affect
communication
author_facet Seung-Yoon Rhee
Hyewon Park
Jonghoon Bae
author_sort Seung-Yoon Rhee
title Network Structure of Affective Communication and Shared Emotion in Teams
title_short Network Structure of Affective Communication and Shared Emotion in Teams
title_full Network Structure of Affective Communication and Shared Emotion in Teams
title_fullStr Network Structure of Affective Communication and Shared Emotion in Teams
title_full_unstemmed Network Structure of Affective Communication and Shared Emotion in Teams
title_sort network structure of affective communication and shared emotion in teams
publisher MDPI AG
series Behavioral Sciences
issn 2076-328X
publishDate 2020-10-01
description This paper identifies the relative effectiveness of two mechanisms of emotional contagion on shared emotion in teams: explicit mechanism (active spreading of one’s emotion) and implicit mechanism (passive mimicry of others’ emotion). Using social network analysis, this paper analyzes affective communication networks involving or excluding a focal person in the process of emotional contagion by disaggregating team emotional contagion into individual acts of sending or receiving emotion-laden responses. Through an experiment with 38 pre-existing work teams, including undergraduate or MBA project teams and teams of student club or co-op officers, we found that the explicit emotional contagion mechanism was a more stable channel for emotional contagion than the implicit emotional contagion mechanism. Active participation in affective communication, measured by outdegree centrality in affective communication networks, was positively and significantly associated with emotional contagion with other members. In contrast, a team member’s passive observation of humor, measured by ego network density, led to emotional divergence when all other members engaged in humor communication. Our study sheds light on the micro-level process of emotional contagion. The individual-level process of emotional convergence varies with the relational pattern of affective networks, and emotion contagion in teams depends on the interplay of the active expresser and the passive spectator in affective networks.
topic shared emotion
emotional contagion
affect
communication
url https://www.mdpi.com/2076-328X/10/10/159
work_keys_str_mv AT seungyoonrhee networkstructureofaffectivecommunicationandsharedemotioninteams
AT hyewonpark networkstructureofaffectivecommunicationandsharedemotioninteams
AT jonghoonbae networkstructureofaffectivecommunicationandsharedemotioninteams
_version_ 1724484106041950208