Utilize este identificador para referenciar este registo: http://hdl.handle.net/10316/91186
Título: Maximizing Learning Through Cohesion: Contributions From a Nonlinear Approach
Autor: Dimas, Isabel Dórdio
Lourenço, Paulo Renato Martins Ribeiro da Silva 
Rebelo, Teresa
Rocha, Humberto 
Palavras-chave: Team cohesion; Team learning; Nonlinear approach; Radial basis functions
Data: 2020
Editora: Sage
Projeto: UIDB/05037/2020 
Título da revista, periódico, livro ou evento: Small Group Research
Resumo: This study explores the relationship between team cohesion and team learning by adopting a nonlinear approach. A quantitative study with a sample composed of 82 organizational teams was conducted. Radial Basis Function (RBF) interpolation models were used and results showed that the best predicting ability was obtained by the Thin Plate RBF model, which revealed that an increase in both dimensions of cohesion leads to an increase in team learning up to a certain threshold. Moreover, our results showed that the maximum value of team learning is obtained at higher values of task cohesion and moderate values of social cohesion.
URI: http://hdl.handle.net/10316/91186
ISSN: 1046-4964
1552-8278
DOI: 10.1177/1046496420944488
Direitos: embargoedAccess
Aparece nas coleções:I&D CeBER - Artigos em Revistas Internacionais

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