Team performance and collective efficacy in the dynamic psychology of competitive team: A Bayesian network analysis

Fuster-Parra, Pilar; García-Más, Alexandre; Ponseti, Francisco Javier; Leo, Francisco M.

doi:10.1016/j.humov.2014.12.005

Cited by 32 publications

(22 citation statements)

References 55 publications

(61 reference statements)

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“…The aim of this study has been reached through the elaboration of the BN, the subsequent TANs and some major instantiations. Our study shows the importance of the role played by social attraction (as was predicted by Carron and Eys ([2,9,36]) and the team members' expectations, as was outlined when studying the role of self-efficacy related to the teams' performance [8]. These two variables appear as the BN antecessors, influencing the rest of the variables.…”

Section: Discussionsupporting

confidence: 59%

“…However, it is difficult to find studies that relate the equipment they need to cooperate with effective performance [8]. Some psychological factors of collaborative teams have been studied more than others in terms of performance, such as cohesion [9,10] or group facilitators and blockers' roles [11].…”

Section: Introductionmentioning

confidence: 99%

“…BNs have been proven to be a strong tool to discover the relationships between variables that attempt to separate out indirect from direct association [8,[19][20][21] and can capture the way an expert understands the relationships among all of the features [22]. They enable human experts to better understand the modeled domain.…”

Section: Introductionmentioning

confidence: 99%

“…The network structure is a directed acyclic graph (DAG) where each node represents a random variable [26,27], and the arcs may represent causality [28][29][30]. BNs combine graph theory and probability theory to represent relationships between variables (nodes in the graph) [8,19]. They give a compact representation of a joint probability distribution via conditional independence.…”

Section: Introductionmentioning

confidence: 99%

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Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks

et al. 2016

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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.

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Section: Discussionsupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks

et al. 2016

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“…Learning a BN implies learning the structure of the directed acyclic graph, which is the identification of the topology of the BN, and parametric learning, that is the estimation of numerical parameters (conditional probabilities) given the topology (Fuster-Parra, García-Mas, Ponseti, & Leo, 2015).…”

Section: Learning Bnmentioning

confidence: 99%

Percepción de los deportistas sobre el estilo de liderazgo de los entrenadores y la tendencia a cooperar en equipos competitivos

Lameiras¹,

Martins²,

Almeida³

et al. 2017

Accion psicol.

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The purpose of the present study was to discover the relationships between athletes' perceived coach behaviors during training and competition, and cooperation via Bayesian network (BN). Professional male atheletes from several team sports (N = 158) completed the Portuguese version of the Leadership Scale for Sport and the Questionário de Cooperação Desportiva to assess cooperation. Relationships were identified between perceived coach behaviors in training and competition environments and with athletes tendency

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Cooperative Team Work Analysis and Modeling: A Bayesian Network Approach

Fuster-Parra¹,

García-Más²,

Cantallops³

et al. 2015

Lecture Notes in Computer Science

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Team performance and collective efficacy in the dynamic psychology of competitive team: A Bayesian network analysis

Cited by 32 publications

References 55 publications

Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks

Ranking Features on Psychological Dynamics of Cooperative Team Work through Bayesian Networks

Percepción de los deportistas sobre el estilo de liderazgo de los entrenadores y la tendencia a cooperar en equipos competitivos

Cooperative Team Work Analysis and Modeling: A Bayesian Network Approach

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