Knowledge Potential Measurement and Uncertainty
ISBN:
978-3-8244-2183-1
Auflage:
Softcover reprint of the original 1st ed. 2004
Verlag:
Deutscher Universitätsverlag
Land des Verlags:
Deutschland
Erscheinungsdatum:
29.07.2004
Format:
Softcover
Seitenanzahl:
274
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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.
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.
Schlagwörter
Biografische Anmerkung
Univ.-Prof. Dr. Kerstin Fink lehrt Wirtschaftsinformatik an der Universität Innsbruck, wo sie sich auch habilitierte.
