Please use this identifier to cite or link to this item:http://hdl.handle.net/20.500.12105/20261
Title
Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks
Author(s)
Date issued
2016-05
Citation
Fuster-Parra P, Garcia-Mas A, Cantallops J, Javier Ponseti F, Luo Y. Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks. Symmetry-Basel. 2016 May;8(5):34.
Language
Inglés
Document type
research article
Abstract
The aim of this study is to rank some features that characterize the psychological dynamics of cooperative team work in order to determine priorities for interventions and formation: leading positive feedback, cooperative manager and collaborative manager features. From a dataset of 20 cooperative sport teams (403 soccer players), the characteristics of the prototypical sports teams are studied using an average Bayesian network (BN) and two special types of BNs, the Bayesian classifiers: naive Bayes (NB) and tree augmented naive Bayes (TAN). BNs are selected as they are able to produce probability estimates rather than predictions. BN results show that the antecessors (the top features ranked) are the team members' expectations and their attraction to the social aspects of the task. The main node is formed by the cooperative behaviors, the consequences ranked at the BN bottom (ratified by the TAN trees and the instantiations made), the roles assigned to the members and their survival inside the same team. These results should help managers to determine contents and priorities when they have to face team-building actions.
Subject
Bayesian networks | Cohesion team | Collaborative work | Cooperative teams | Naive Bayes | Symmetric independencies | Team dynamics | Tree augmented naive Bayes
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