Knowledge Potential Measurement and Uncertainty

  • Authors
  • Kerstin¬†Fink

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Kerstin Fink
    Pages 1-21
  3. Kerstin Fink
    Pages 23-98
  4. Kerstin Fink
    Pages 99-106
  5. Kerstin Fink
    Pages 107-124
  6. Kerstin Fink
    Pages 201-225
  7. Back Matter
    Pages 233-273

About this book

Introduction

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.

Keywords

Organizational Knowledge Quantenmechanik Unsicherheit Wissensmanagement Wissensmessung Wissenspotential Wissensprozess knowledge management

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-322-81240-7
  • Copyright Information Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2004
  • Publisher Name Deutscher Universit√§tsverlag
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-8244-2183-1
  • Online ISBN 978-3-322-81240-7
  • About this book