Items related to Knowledge Potential Measurement and Uncertainty

Knowledge Potential Measurement and Uncertainty - Softcover

Fink, Kerstin

 
9783824421831: Knowledge Potential Measurement and Uncertainty
Softcover
ISBN 10: 3824421836 ISBN 13: 9783824421831
Publisher: Deutscher Universitätsverlag, 2004

Synopsis

Whereas the measurement of tangible assets, e.g. cost of sales or raw material, used to be one of the main issues of business in the past, the focus has now shifted towards intangible assets such as the knowledge potential of a firm's knowledge workers. Against this background, the measurement of knowledge has become a challenge for the managers of knowledge based companies and they are looking for a knowledge measurement model to achieve the optimal organization well-being.

Kerstin Fink discusses the two mainstream measurement fields: the cognitive science approach and the management approach. She develops the knowledge potential view which is determined by nine key measurement variables, i.e. content, culture, networking, organizational knowledge, learning and training, customer and competitor knowledge, and knowledge management systems. The author applies the analogical reasoning process and uses Werner Heisenberg's Uncertainty Principle as a framework for the employee knowledge potential measurement process. Her aim is to assign a specific knowledge classification or value to each employee. Case studies demonstrate the model's practical use.

"synopsis" may belong to another edition of this title.

About the Author

Univ.-Prof. Dr. Kerstin Fink lehrt Wirtschaftsinformatik an der Universität Innsbruck, wo sie sich auch habilitierte.

From the Back Cover

Whereas the measurement of tangible assets, e.g. cost of sales or raw material, used to be one of the main issues of business in the past, the focus has now shifted towards intangible assets such as the knowledge potential of a firm's knowledge workers. Against this background, the measurement of knowledge has become a challenge for the managers of knowledge based companies and they are looking for a knowledge measurement model to achieve the optimal organization well-being.

Kerstin Fink discusses the two mainstream measurement fields: the cognitive science approach and the management approach. She develops the knowledge potential view which is determined by nine key measurement variables, i.e. content, culture, networking, organizational knowledge, learning and training, customer and competitor knowledge, and knowledge management systems. The author applies the analogical reasoning process and uses Werner Heisenberg's Uncertainty Principle as a framework for the employee knowledge potential measurement process. Her aim is to assign a specific knowledge classification or value to each employee. Case studies demonstrate the model's practical use.

"About this title" may belong to another edition of this title.

Publisher
Deutscher Universitätsverlag
Publication date
2004
Language
English
ISBN 10 
3824421836
ISBN 13 
9783824421831
Binding
Paperback
Number of pages
292