Devs Simulation of Belbin's Team Roles for Collaborative Team Dynamics

Belbin's team role theory identifies nine behavioral roles that, when combined, support effective collaboration. Configuring teams based on these roles is often manual, costly, and inflexible. This article presents an individual-oriented simulation model using the DEVS formalism to emulate group interactions shaped by Belbin roles. Each team member is modeled as an atomic entity with behavior defined by a combination of two roles. This enables controlled experimentation with different team compositions, interaction timings, and communication sequences. Simulations were conducted using synthetic data, defined under plausible assumptions based on Belbin's framework. The model enables exploration of how different configurations affect communication flow and task distribution, supporting the identification of team structures that promote balance and efficiency. Results demonstrate the potential of integrating behavioral theories with formal modeling approaches to improve team design. This work offers a flexible and extensible simulation-based method for analyzing and optimizing team dynamics.

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Publication Details

Published
2025-12-07
DOI
https://doi.org/10.1109/wsc68292.2025.11338914
Primary Topic
Team Dynamics and Performance
Type
article
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article

Devs Simulation of Belbin's Team Roles for Collaborative Team Dynamics

Diego Monsalves, Gabriel Wainer, Eliezer Zúñiga, Silvio Vera et al.
Team Dynamics and Performance
article

Devs Simulation of Belbin's Team Roles for Collaborative Team Dynamics

Diego Monsalves, Gabriel Wainer, Eliezer Zúñiga, Silvio Vera, Fabián Riquelme, Alonso Inostrosa-Psijas
article en

Abstract

Belbin's team role theory identifies nine behavioral roles that, when combined, support effective collaboration. Configuring teams based on these roles is often manual, costly, and inflexible. This article presents an individual-oriented simulation model using the DEVS formalism to emulate group interactions shaped by Belbin roles. Each team member is modeled as an atomic entity with behavior defined by a combination of two roles. This enables controlled experimentation with different team compositions, interaction timings, and communication sequences. Simulations were conducted using synthetic data, defined under plausible assumptions based on Belbin's framework. The model enables exploration of how different configurations affect communication flow and task distribution, supporting the identification of team structures that promote balance and efficiency. Results demonstrate the potential of integrating behavioral theories with formal modeling approaches to improve team design. This work offers a flexible and extensible simulation-based method for analyzing and optimizing team dynamics.

Carleton University (CA), University of Valparaíso (CL)
Openalex Percentile: Top 22%
Team Dynamics and Performance
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