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Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time
Teams are complex and dynamic entities that face constant changes to their team structures and must simultaneously work to meet and adapt to the varying situational demands of their environment (Kozlowski and Ilgen, 2006). Agencies, industries, and government institutions are currently placing great...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593277/ https://www.ncbi.nlm.nih.gov/pubmed/31275193 http://dx.doi.org/10.3389/fpsyg.2019.01324 |
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author | Delice, Fabrice Rousseau, Moira Feitosa, Jennifer |
author_facet | Delice, Fabrice Rousseau, Moira Feitosa, Jennifer |
author_sort | Delice, Fabrice |
collection | PubMed |
description | Teams are complex and dynamic entities that face constant changes to their team structures and must simultaneously work to meet and adapt to the varying situational demands of their environment (Kozlowski and Ilgen, 2006). Agencies, industries, and government institutions are currently placing greater attention to the influence on team dynamics and teamwork as they are important to key organizational outcomes. Due to increased emphasis being placed upon the understanding the maturation of team dynamics, the incorporation of efficient methodological tools to understand how teams are being measured over time becomes critical. Thus, the purpose of this paper is to present a review of relevant academic articles detailing the science behind methodological tools and general approaches to study team dynamics over time. We provide an overview of the methodological tools used to understand team dynamics with accordance to specific temporal elements. Drawing from Kozlowski et al. (1999) process model of team development, we highlight relevant emergent team constructs within each stage. As well, for each stage, we discuss the what and how to measure team dynamics. Our analyses bring to light relevant, novel and complex approaches being used by researchers to examine specific constructs within different team developmental phases (e.g., agent-based simulations, computational modeling) and the importance of transitioning from a single source methodology approach. Implications and future research are also discussed. |
format | Online Article Text |
id | pubmed-6593277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65932772019-07-03 Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time Delice, Fabrice Rousseau, Moira Feitosa, Jennifer Front Psychol Psychology Teams are complex and dynamic entities that face constant changes to their team structures and must simultaneously work to meet and adapt to the varying situational demands of their environment (Kozlowski and Ilgen, 2006). Agencies, industries, and government institutions are currently placing greater attention to the influence on team dynamics and teamwork as they are important to key organizational outcomes. Due to increased emphasis being placed upon the understanding the maturation of team dynamics, the incorporation of efficient methodological tools to understand how teams are being measured over time becomes critical. Thus, the purpose of this paper is to present a review of relevant academic articles detailing the science behind methodological tools and general approaches to study team dynamics over time. We provide an overview of the methodological tools used to understand team dynamics with accordance to specific temporal elements. Drawing from Kozlowski et al. (1999) process model of team development, we highlight relevant emergent team constructs within each stage. As well, for each stage, we discuss the what and how to measure team dynamics. Our analyses bring to light relevant, novel and complex approaches being used by researchers to examine specific constructs within different team developmental phases (e.g., agent-based simulations, computational modeling) and the importance of transitioning from a single source methodology approach. Implications and future research are also discussed. Frontiers Media S.A. 2019-06-13 /pmc/articles/PMC6593277/ /pubmed/31275193 http://dx.doi.org/10.3389/fpsyg.2019.01324 Text en Copyright © 2019 Delice, Rousseau and Feitosa. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Delice, Fabrice Rousseau, Moira Feitosa, Jennifer Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time |
title | Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time |
title_full | Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time |
title_fullStr | Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time |
title_full_unstemmed | Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time |
title_short | Advancing Teams Research: What, When, and How to Measure Team Dynamics Over Time |
title_sort | advancing teams research: what, when, and how to measure team dynamics over time |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593277/ https://www.ncbi.nlm.nih.gov/pubmed/31275193 http://dx.doi.org/10.3389/fpsyg.2019.01324 |
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