Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/91186
Title: Maximizing Learning Through Cohesion: Contributions From a Nonlinear Approach
Authors: Dimas, Isabel Dórdio
Lourenço, Paulo Renato Martins Ribeiro da Silva 
Rebelo, Teresa
Rocha, Humberto 
Keywords: Team cohesion; Team learning; Nonlinear approach; Radial basis functions
Issue Date: 2020
Publisher: Sage
Project: UIDB/05037/2020 
Serial title, monograph or event: Small Group Research
Abstract: 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
Rights: embargoedAccess
Appears in Collections:I&D CeBER - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat Login
team learning and team cohesion.pdf715.38 kBAdobe PDFEmbargo Access    Request a copy
Show full item record

Page view(s)

26
checked on Oct 22, 2020

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons