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Table of contents (7 chapters)
Keywords
About this book
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 the author
Bibliographic Information
Book Title: Knowledge Potential Measurement and Uncertainty
Authors: Kerstin Fink
DOI: https://doi.org/10.1007/978-3-322-81240-7
Publisher: Deutscher Universitätsverlag Wiesbaden
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eBook Packages: Springer Book Archive
Copyright Information: Deutscher Universitäts-Verlag/GWV Fachverlage GmbH, Wiesbaden 2004
Softcover ISBN: 978-3-8244-2183-1Published: 29 July 2004
eBook ISBN: 978-3-322-81240-7Published: 06 December 2012
Edition Number: 1
Number of Pages: XVIII, 274
Number of Illustrations: 11 b/w illustrations
Topics: Business Mathematics, IT in Business, Computer Science, general