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A Neural Network Model for Team Viability

  • Isabel Dórdio Dimas
  • Humberto RochaEmail author
  • Teresa Rebelo
  • Paulo Renato Lourenço
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10405)

Abstract

Team effectiveness has been the focus of numerous studies since teams play an increasingly decisive role in modern organizations. In the present paper, our attention is centered on team viability, which is one dimension of team effectiveness. Given the challenges that actual teams face today, exploring the conditions and processes that enhance the capacity of teams to adapt and continue to work together is a fundamental research path to pursue. In this study, team psychological capital and team learning were considered as antecedents of team viability. The relationships that team psychological capital and team learning establish with team viability were explored as accurately as possible. Typically, these relationships are assumed to be linear as multivariate linear models are often used. However, these linear models fail to explain possible nonlinear relations between variables, expected to exist in dynamic systems as teams. Adopting computational modeling strategies in the context of organizational psychology has become more common. In this paper, radial basis function models and neural networks were used to study the complex relationships between team psychological capital, team learning and team viability.

Keywords

Team viability Radial basis functions Neural networks 

Notes

Acknowledgements

This work was supported by the Fundação para a Ciência e a Tecnologia (FCT) under project grants UID/MULTI/00308/2013 and POCI-01-0145-FEDER-008540.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Isabel Dórdio Dimas
    • 1
    • 2
  • Humberto Rocha
    • 3
    • 4
    Email author
  • Teresa Rebelo
    • 5
    • 6
  • Paulo Renato Lourenço
    • 5
    • 6
  1. 1.ESTGAUniversidade de AveiroÁguedaPortugal
  2. 2.GOVCOPPUniversidade de AveiroAveiroPortugal
  3. 3.FEUC, CeBERUniversidade de CoimbraCoimbraPortugal
  4. 4.INESC-CoimbraCoimbraPortugal
  5. 5.IPCDVSUniversidade de CoimbraCoimbraPortugal
  6. 6.FPCEUCUniversidade de CoimbraCoimbraPortugal

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