Dynamic Learning Networks Models and Cases in Action
Dynamic Learning Networks Models and Cases in Action by Aldo Romano, published by Springer US on June 4, 2009, is a comprehensive exploration of organizational learning through a network perspective. This 178-page volume presents insights from global experts, aiming to enhance understanding of how dynamic competition can be driven by extended firm learning processes. The book is written in English and is tailored for both academics and company managers interested in the intersection of learning networks and business strategies.
Readers will find a collection of real cases and diverse perspectives that illustrate the principles of dynamic learning networks. The content is grounded in discussions from a workshop organized by the E-Business Management Section of Scuola Superiore ISUFI at the University of Salento, held in Ostuni, Italy. This edition is particularly relevant for professionals in corporate learning and advanced-level students in computer science, focusing on subjects such as information management and systems architecture.
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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) 3rd – 5th 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.
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