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Dynamic Learning Networks: Models And Cases In Action

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ISBN 10: 1441902503 / ISBN 13: 9781441902504
New Condition: New Hardcover
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Title: Dynamic Learning Networks: Models And Cases ...

Binding: Hardcover

Book Condition:New

About this title

Synopsis:

Dynamic Learning Networks: Models and Cases in Action represents an attempt to provide a network perspective of organizational learning to drive dynamic competition through extended firm learning processes. This edited volume, contributed by worldwide experts in the field, provides academics and company managers with an extended view of organizational learning networks from real cases and different perspectives.

Dynamic Learning Networks: Models and Cases in Action is based on the workshop, Managing Uncertainty and Competition through Dynamic Learning Networks. It was organized by the E-Business Management Section of Scuola Superiore ISUFI – University of Salento (Italy) – and held in Ostuni (Italy) in July 2008.

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.

From the Back Cover:

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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