The Effect of Emergent Team Roles on Team Performance: A Computational Network Model

Shairoz A. Evegroen; Yagel Schoonderbeek; Jan Treur

doi:10.1007/978-3-030-88081-1_9

The Effect of Emergent Team Roles on Team Performance: A Computational Network Model

Shairoz A. Evegroen, Yagel Schoonderbeek, Jan Treur^*

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Much research has been done into the role of different team members through team problem-solving processes, though less research has been done into an optimal combination of members and the influence of their dominance on the team's performance. Therefore, in this paper it is addressed what is the most effective combination of team members and whether dominance can increase team performance. For this purpose, an adaptive computational network model has been designed for a problem-solving team process. Different scenarios were simulated including a respectively homogeneous team and the representation of different dominant roles carried out by several team members. From these simulations, it can be concluded that heterogeneous teams perform better than homogeneous teams. Additionally, this study's results showed that dominance can have both negative and positive effects on team performance. Moreover, the results suggest that in particular, only dominance by the procedural facilitator-role delivers these positive effects.

Original language	English
Title of host publication	Computational Collective Intelligence
Subtitle of host publication	13th International Conference, ICCCI 2021, Rhodos, Greece, September 29 – October 1, 2021, Proceedings
Editors	Ngoc T. Nguyen, L. Iliadis, I. Maglogiannis, B. Trawiński
Publisher	Springer Nature Switzerland AG
Pages	111-125
Number of pages	15
ISBN (Electronic)	9783030880811
ISBN (Print)	9783030880804
DOIs	https://doi.org/10.1007/978-3-030-88081-1_9
Publication status	Published - Nov 2021
Event	13th International Conference on Computational Collective Intelligence, ICCCI 2021 - Virtual, Online Duration: 29 Sept 2021 → 1 Oct 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12876 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Computational Collective Intelligence, ICCCI 2021
City	Virtual, Online
Period	29/09/21 → 1/10/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

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Evegroen2021_Chapter_TheEffectOfEmergentTeamRolesOnTeamPerformanceFinal published version, 3.87 MBLicence: Article 25fa Dutch Copyright Act

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Evegroen, S. A., Schoonderbeek, Y., & Treur, J. (2021). The Effect of Emergent Team Roles on Team Performance: A Computational Network Model. In N. T. Nguyen, L. Iliadis, I. Maglogiannis, & B. Trawiński (Eds.), Computational Collective Intelligence: 13th International Conference, ICCCI 2021, Rhodos, Greece, September 29 – October 1, 2021, Proceedings (pp. 111-125). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12876 LNAI). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-88081-1_9

Evegroen, Shairoz A. ; Schoonderbeek, Yagel ; Treur, Jan. / The Effect of Emergent Team Roles on Team Performance : A Computational Network Model. Computational Collective Intelligence: 13th International Conference, ICCCI 2021, Rhodos, Greece, September 29 – October 1, 2021, Proceedings. editor / Ngoc T. Nguyen ; L. Iliadis ; I. Maglogiannis ; B. Trawiński. Springer Nature Switzerland AG, 2021. pp. 111-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "The Effect of Emergent Team Roles on Team Performance: A Computational Network Model",

abstract = "Much research has been done into the role of different team members through team problem-solving processes, though less research has been done into an optimal combination of members and the influence of their dominance on the team's performance. Therefore, in this paper it is addressed what is the most effective combination of team members and whether dominance can increase team performance. For this purpose, an adaptive computational network model has been designed for a problem-solving team process. Different scenarios were simulated including a respectively homogeneous team and the representation of different dominant roles carried out by several team members. From these simulations, it can be concluded that heterogeneous teams perform better than homogeneous teams. Additionally, this study's results showed that dominance can have both negative and positive effects on team performance. Moreover, the results suggest that in particular, only dominance by the procedural facilitator-role delivers these positive effects.",

author = "Evegroen, {Shairoz A.} and Yagel Schoonderbeek and Jan Treur",

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year = "2021",

month = nov,

doi = "10.1007/978-3-030-88081-1_9",

language = "English",

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Evegroen, SA, Schoonderbeek, Y & Treur, J 2021, The Effect of Emergent Team Roles on Team Performance: A Computational Network Model. in NT Nguyen, L Iliadis, I Maglogiannis & B Trawiński (eds), Computational Collective Intelligence: 13th International Conference, ICCCI 2021, Rhodos, Greece, September 29 – October 1, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12876 LNAI, Springer Nature Switzerland AG, pp. 111-125, 13th International Conference on Computational Collective Intelligence, ICCCI 2021, Virtual, Online, 29/09/21. https://doi.org/10.1007/978-3-030-88081-1_9

The Effect of Emergent Team Roles on Team Performance: A Computational Network Model. / Evegroen, Shairoz A.; Schoonderbeek, Yagel; Treur, Jan.
Computational Collective Intelligence: 13th International Conference, ICCCI 2021, Rhodos, Greece, September 29 – October 1, 2021, Proceedings. ed. / Ngoc T. Nguyen; L. Iliadis; I. Maglogiannis; B. Trawiński. Springer Nature Switzerland AG, 2021. p. 111-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12876 LNAI).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - The Effect of Emergent Team Roles on Team Performance

T2 - 13th International Conference on Computational Collective Intelligence, ICCCI 2021

AU - Evegroen, Shairoz A.

AU - Schoonderbeek, Yagel

AU - Treur, Jan

PY - 2021/11

Y1 - 2021/11

N2 - Much research has been done into the role of different team members through team problem-solving processes, though less research has been done into an optimal combination of members and the influence of their dominance on the team's performance. Therefore, in this paper it is addressed what is the most effective combination of team members and whether dominance can increase team performance. For this purpose, an adaptive computational network model has been designed for a problem-solving team process. Different scenarios were simulated including a respectively homogeneous team and the representation of different dominant roles carried out by several team members. From these simulations, it can be concluded that heterogeneous teams perform better than homogeneous teams. Additionally, this study's results showed that dominance can have both negative and positive effects on team performance. Moreover, the results suggest that in particular, only dominance by the procedural facilitator-role delivers these positive effects.

AB - Much research has been done into the role of different team members through team problem-solving processes, though less research has been done into an optimal combination of members and the influence of their dominance on the team's performance. Therefore, in this paper it is addressed what is the most effective combination of team members and whether dominance can increase team performance. For this purpose, an adaptive computational network model has been designed for a problem-solving team process. Different scenarios were simulated including a respectively homogeneous team and the representation of different dominant roles carried out by several team members. From these simulations, it can be concluded that heterogeneous teams perform better than homogeneous teams. Additionally, this study's results showed that dominance can have both negative and positive effects on team performance. Moreover, the results suggest that in particular, only dominance by the procedural facilitator-role delivers these positive effects.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computational Collective Intelligence

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PB - Springer Nature Switzerland AG

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ER -

Evegroen SA, Schoonderbeek Y, Treur J. The Effect of Emergent Team Roles on Team Performance: A Computational Network Model. In Nguyen NT, Iliadis L, Maglogiannis I, Trawiński B, editors, Computational Collective Intelligence: 13th International Conference, ICCCI 2021, Rhodos, Greece, September 29 – October 1, 2021, Proceedings. Springer Nature Switzerland AG. 2021. p. 111-125. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Sept 30. doi: 10.1007/978-3-030-88081-1_9

The Effect of Emergent Team Roles on Team Performance: A Computational Network Model

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