Overview
- Learning goals, exercises and case examples help the reader to easily understand and practice the concepts
- With numerous figures and tables that summarize chapter contents, scenarios and case examples that illustrate concepts and link them to every day experiences
- With exercises that motivate the reader to practice and rethink the concepts presented
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Table of contents (6 chapters)
Keywords
About this book
Success of an organization is increasingly dependent on its capability to create an environment to improve the productivity of knowledge work. This book focuses on the concepts, models and technologies that are used to design and implement such an environment. It develops the vision of a modular, yet highly integrated enterprise knowledge infrastructure and presents an ideal architecture replete with current technologies and systems. The most important streams of technological development that are covered in the book are computer-supported cooperative work, document and content management, e-learning, enterprise portals, information life cycle management, knowledge management, mobile computing, and the Semantic Web. It includes learning goals, exercises and case examples that help the reader to easily understand and practice the concepts.
The book is targeted at advanced bachelor and master students. Practitioners profit from insights into the importance of technologies and systems and their application.
Authors and Affiliations
Bibliographic Information
Book Title: Enterprise Knowledge Infrastructures
Authors: Ronald Maier, Thomas Hädrich, René Peinl
DOI: https://doi.org/10.1007/3-540-27514-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
eBook ISBN: 978-3-540-27514-5Published: 06 December 2005
Edition Number: 1
Number of Pages: X, 386
Number of Illustrations: 60 b/w illustrations
Topics: Business Mathematics, Computer Applications, IT in Business, Information Storage and Retrieval