A Nonlinear Multicriteria Model for Team Effectiveness

Detalhes bibliográficos
Autor(a) principal: Dimas, Isabel Dórdio
Data de Publicação: 2016
Outros Autores: Rocha, Humberto, Rebelo, Teresa, Lourenço, Paulo Renato
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/45899
https://doi.org/10.1007/978-3-319-42089-9_42
Resumo: The study of team effectiveness has received significant attention in recent years. Team effectiveness is an important subject since teams play an increasingly decisive role on modern organizations. This study is inherently a multicriteria problem as different criteria are typically required to assess team effectiveness. Among the different aspects of interest on the study of team effectiveness one of the utmost importance is to acknowledge, as accurately as possible, the relationships that team resources and team processes establish with team effectiveness. Typically, these relationships are studied using linear models which fail to explain the complexity inherent to group phenomena. In this study we propose a novel approach using radial basis functions to construct a multicriteria nonlinear model to more accurately capture the relationships between the team resources/processes and team effectiveness. By combining principal component analysis, radial basis functions interpolation, and cross-validation for model parameter tuning, we obtained a data fitting method that generated an approximate response with reliable trend predictions between the given data points.
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spelling A Nonlinear Multicriteria Model for Team EffectivenessTeam effectivenessMulticriteriaRadial basis functionsCross-validationThe study of team effectiveness has received significant attention in recent years. Team effectiveness is an important subject since teams play an increasingly decisive role on modern organizations. This study is inherently a multicriteria problem as different criteria are typically required to assess team effectiveness. Among the different aspects of interest on the study of team effectiveness one of the utmost importance is to acknowledge, as accurately as possible, the relationships that team resources and team processes establish with team effectiveness. Typically, these relationships are studied using linear models which fail to explain the complexity inherent to group phenomena. In this study we propose a novel approach using radial basis functions to construct a multicriteria nonlinear model to more accurately capture the relationships between the team resources/processes and team effectiveness. By combining principal component analysis, radial basis functions interpolation, and cross-validation for model parameter tuning, we obtained a data fitting method that generated an approximate response with reliable trend predictions between the given data points.Springer2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookhttp://hdl.handle.net/10316/45899http://hdl.handle.net/10316/45899https://doi.org/10.1007/978-3-319-42089-9_42enghttps://link.springer.com/chapter/10.1007/978-3-319-42089-9_42Dimas, Isabel DórdioRocha, HumbertoRebelo, TeresaLourenço, Paulo Renatoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-05-25T06:57:39Zoai:estudogeral.uc.pt:10316/45899Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:48:38.447890Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A Nonlinear Multicriteria Model for Team Effectiveness
title A Nonlinear Multicriteria Model for Team Effectiveness
spellingShingle A Nonlinear Multicriteria Model for Team Effectiveness
Dimas, Isabel Dórdio
Team effectiveness
Multicriteria
Radial basis functions
Cross-validation
title_short A Nonlinear Multicriteria Model for Team Effectiveness
title_full A Nonlinear Multicriteria Model for Team Effectiveness
title_fullStr A Nonlinear Multicriteria Model for Team Effectiveness
title_full_unstemmed A Nonlinear Multicriteria Model for Team Effectiveness
title_sort A Nonlinear Multicriteria Model for Team Effectiveness
author Dimas, Isabel Dórdio
author_facet Dimas, Isabel Dórdio
Rocha, Humberto
Rebelo, Teresa
Lourenço, Paulo Renato
author_role author
author2 Rocha, Humberto
Rebelo, Teresa
Lourenço, Paulo Renato
author2_role author
author
author
dc.contributor.author.fl_str_mv Dimas, Isabel Dórdio
Rocha, Humberto
Rebelo, Teresa
Lourenço, Paulo Renato
dc.subject.por.fl_str_mv Team effectiveness
Multicriteria
Radial basis functions
Cross-validation
topic Team effectiveness
Multicriteria
Radial basis functions
Cross-validation
description The study of team effectiveness has received significant attention in recent years. Team effectiveness is an important subject since teams play an increasingly decisive role on modern organizations. This study is inherently a multicriteria problem as different criteria are typically required to assess team effectiveness. Among the different aspects of interest on the study of team effectiveness one of the utmost importance is to acknowledge, as accurately as possible, the relationships that team resources and team processes establish with team effectiveness. Typically, these relationships are studied using linear models which fail to explain the complexity inherent to group phenomena. In this study we propose a novel approach using radial basis functions to construct a multicriteria nonlinear model to more accurately capture the relationships between the team resources/processes and team effectiveness. By combining principal component analysis, radial basis functions interpolation, and cross-validation for model parameter tuning, we obtained a data fitting method that generated an approximate response with reliable trend predictions between the given data points.
publishDate 2016
dc.date.none.fl_str_mv 2016
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dc.type.driver.fl_str_mv info:eu-repo/semantics/book
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/45899
http://hdl.handle.net/10316/45899
https://doi.org/10.1007/978-3-319-42089-9_42
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https://doi.org/10.1007/978-3-319-42089-9_42
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language eng
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