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Dynamic Learning Networks Models and Cases in Action /

Dynamic Learning Networks: Models and Cases In Action provides a network perspective of organizational learning to drive dynamic competition through extended firm learning processes. This edited volume contributed by worldwide experts in this field, provides academics and company managers with an ex...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Romano, Aldo (Editor ), Secundo, Giustina (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Temas:
Acceso en línea:Texto Completo

MARC

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505 0 |a Networks for manage change in international commercial organisations -- The Relevance of Organizational Learning for High Performing Social Networks -- illycaffè and the Brazilian espresso knowledge network -- Learning dynamics within the solutions network -- Towards #x201C;Stakeholder University#x201D; as dynamic learning network: the Finmeccanica case -- Expanding the Value of Corporate Universities: The Stakeholder Approach -- Corporate Universities 2.0: The Future Networked Learning Organization -- Emergent management learning in dynamic learning networks. 
520 |a Dynamic Learning Networks: Models and Cases In Action provides a network perspective of organizational learning to drive dynamic competition through extended firm learning processes. This edited volume contributed by worldwide experts in this field, provides academics and company managers with an extended view of organizational learning networks from real cases and different perspectives. The volume addresses Dynamic Learning Networks in two distinct ways: first, networks for managing change and learning; second, networks that learn. Main topics include: Knowledge Networks, High Performing Social Networks, Suppliers Networks, Solutions Networks, Corporate University 2.0 and Stakeholder University. Dynamic Learning Networks: Models and Cases In Action is designed for a professional audience, composed of researchers and practitioners working in corporate learning. This volume is also suitable for advanced-level students in computer science. 
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