Overview
- Brings together a critical mass of well-established researchers from Organizational Learning and Development worldwide
- Covers vital information for the society that is not yet available in journals
- Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Dynamic Learning Networks
Book Subtitle: Models and Cases in Action
Editors: Aldo Romano, Giustina Secundo
DOI: https://doi.org/10.1007/978-1-4419-0251-1
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2009
Hardcover ISBN: 978-1-4419-0250-4Published: 04 June 2009
Softcover ISBN: 978-1-4419-5499-2Published: 05 November 2010
eBook ISBN: 978-1-4419-0251-1Published: 28 May 2009
Edition Number: 1
Number of Pages: XXII, 178
Number of Illustrations: 17 b/w illustrations, 3 illustrations in colour
Topics: Computer Communication Networks, Management of Computing and Information Systems, IT in Business, Artificial Intelligence, Business and Management, general