Organizational Learning and Knowledge Technologies in a Dynamic Environment

Első borító
Springer Science & Business Media, 1998 - 275 oldal
While theories on `learning organizations' and `knowledge-based companies' have recently emerged, little attention has yet been given either to the underlying structures of these developments, or to the link between these underlying structures and the resources available to manage them. Organizational Learning and Knowledge Technologies in a Dynamic Environment attempts to fill this gap. It thus presents practical and concrete ways for companies to be adaptable and flexible whilst operating effectively and efficiently. Underlying concepts and insights into flexible management and chaotic market behavior are translated into a pragmatic approach to knowledge management within companies, using the latest technology. Corporate knowledge is increasingly proving to be not only an important resource, but possibly unique in its sustainability. Managing knowledge as a resource, as well as managing learning as the process which creates that resource, can only be done using appropriate information technologies. The foundational concepts discussed emerge from such fields as neurobiology, cognitive sciences, physics, and organizational theory. These are applied to management and substantiated with examples. New developments in knowledge management, such as connectionist approaches, are outlined and illustrated with real cases. The author further describes an approach for developing knowledge networks in companies. The annex offers readers with an advanced interest in the matter an epistemological discussion on scientific methods for management research and touches in a broader sense on the measurability of management processes.
 

Tartalomjegyzék

WHAT CAN WE LEARN FROM DYNAMIC BEHAVIOR
23
1
78
ARTIFICIAL INTELLIGENCE FOR KNOWLEDGE
98
EXPERIMENTS WITH NEURAL NETWORKS
111
23
119
EXPERIMENTS WITH COMPLEXITY AND DYNAMIC SYSTEMS
128
A ROADMAP OF MANAGEMENT IN A DYNAMIC
215
SAILING BYE
225
AN EPISTEMOLOGICAL VOYAGE
237
The ontological and epistemological foundations of neural networks
247
FURTHER READINGS
257
SUBJECT INDEX
265
AUTHOR INDEX
271
Copyright

Más kiadások - Összes megtekintése

Gyakori szavak és kifejezések

Bibliográfiai információk