Dynamic Learning Networks: Models and Cases in Action

ISBN-13: 9781441902504 / Angielski / Twarda / 2009 / 178 str.

Aldo Romano; Giustina Secundo

Opis

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 this field, provide 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) 3^rd - 5^th 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."

Spis treści

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.

Blurb

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.