Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/78058

TítuloTeam resilience model: an empirical examination of information systems projects
Autor(es)Varajão, João
Fernandes, Aldora Gabriela Gomes
Amaral, Antonio
Goncalves, A. Manuela
Palavras-chaveResilience
Reliability
Team
Project
Project management
Information systems
Structural model
Resilience scale
Team resilience scale
Resilience measures
DataFev-2021
EditoraElsevier Science Ltd
RevistaReliability Engineering & System Safety
CitaçãoVarajão, J., Fernandes, G., Amaral, A., & Gonçalves, A. M. (2021). Team Resilience Model: An Empirical Examination of Information Systems Projects. Reliability Engineering & System Safety, 206, 107303. doi: https://doi.org/10.1016/j.ress.2020.107303
Resumo(s)Organizations need well-prepared teams to perform their projects with efficiency and effectiveness. In such socio-technical systems, project teams' capability to face and surpass difficulties play a critical role for the organizational reliability. Hence the relevance of studying project team resilience, defined here as the team's ability to deal with problems, overcome obstacles, and quickly recover from adverse and possibly harmful situations without collapsing. This paper presents an empirically-tested theoretical model for explaining team resilience. Results show that several factors such as Trust & Solidarity, Focus on results, Commitment, Management & Accountability, Embracing conflicts, Work conditions, and Skills & Behaviors are important contributors for team resilience. The findings discussed here contribute both to a better understanding of how project team resilience can be studied theoretically and improved in practice and to determine the triggers to ensure the proper adjustments to improve the overall organizational resilience and consequent reliability and performance.
TipoArtigo
URIhttps://hdl.handle.net/1822/78058
DOI10.1016/j.ress.2020.107303
ISSN0951-8320
Versão da editorahttps://linkinghub.elsevier.com/retrieve/pii/S0951832020307997
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:DSI - Engenharia e Gestão de Sistemas de Informação

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