The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments (2014)
- Authors:
- Autor USP: LEJBMAN, ALFREDO GOLDMAN VEL - IME
- Unidade: IME
- DOI: 10.1109/HICSS.2014.581
- Subjects: MÉTODOS ÁGEIS; ADMINISTRAÇÃO DO TRABALHO
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2014
- Source:
- Conference titles: Hawaii International Conference on System Sciences (HICSS)
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SANTOS, Viviane et al. The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments. 2014, Anais.. Los Alamitos: IEEE Computer Society, 2014. Disponível em: https://doi.org/10.1109/HICSS.2014.581. Acesso em: 15 abr. 2026. -
APA
Santos, V., Goldman, A., Borges Filho, H. N., Martins, D., & Cortés, M. I. (2014). The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments. In Proceedings of the 47th Annual Hawaii International Conference on System Sciences. Los Alamitos: IEEE Computer Society. doi:10.1109/HICSS.2014.581 -
NLM
Santos V, Goldman A, Borges Filho HN, Martins D, Cortés MI. The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments [Internet]. Proceedings of the 47th Annual Hawaii International Conference on System Sciences. 2014 ;[citado 2026 abr. 15 ] Available from: https://doi.org/10.1109/HICSS.2014.581 -
Vancouver
Santos V, Goldman A, Borges Filho HN, Martins D, Cortés MI. The influence of organizational factors on inter-team knowledge sharing effectiveness in agile environments [Internet]. Proceedings of the 47th Annual Hawaii International Conference on System Sciences. 2014 ;[citado 2026 abr. 15 ] Available from: https://doi.org/10.1109/HICSS.2014.581 - Improving the performance of actor model runtime environments on multicore and manycore platforms
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