Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/52574

TítuloThe DELTA + MODEL in organizational knowledge management-a perspective in the context of shared services
Autor(es)Pinto, Agostinho Sousa
Amaral, Luis
Peres, Paula
Palavras-chaveDelta + model
E–Learning
Modelo delta +
Organizational knowledge management
Shared services
Delta plus model
Data1-Mar-2017
EditoraSpringer Verlag
RevistaAdvances in Intelligent Systems and Computing
CitaçãoPinto A.S., Amaral L., Peres P. (2017) The DELTA + MODEL in Organizational Knowledge Management - A Perspective in the Context of Shared Services. In: Rocha Á., Correia A., Adeli H., Reis L., Costanzo S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 569. Springer, Cham
Resumo(s)Organizational knowledge becomes a crucial element for any organization, as a resource which must be managed and as a support for development, sustainability and innovation. Organizational Knowledge promotes Human Resources’ pro activity by its acquisition and sharing. The following study presents the selective coding results of the empirical material proposed by Strauss Corbin, which correlates the organizational phenomena of Shared Service Center and e-Learning as Organizational Knowledge Management tools. With the following paper it is intended to demonstrate the existence of correlations between the studied constructs (aggregators), as well as a standardization tendency on the pursued approaches among the different bodies studied. This study follows the investigation carried out for the construction of an Organizational Knowledge Management model in the Shared Services’ context with an e-Learning resource, “Modelo Delta +” (Delta + Model). It was a constructive start for a qualitative and quantitative research, methodologically supported by the Grounded Theory and knowledge creation of Nonaka theory.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/52574
ISBN9783319565347
DOI10.1007/978-3-319-56535-4_65
ISSN2194-5357
Versão da editorahttps://link.springer.com/chapter/10.1007/978-3-319-56535-4_65#citeas
Arbitragem científicayes
AcessoAcesso restrito autor
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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