Knowledge Potential Measurement and Uncertainty

Paperback Engels 2004 9783824421831
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783824421831
Taal:Engels
Bindwijze:paperback
Aantal pagina's:274
Druk:0

Lezersrecensies

Wees de eerste die een lezersrecensie schrijft!

Inhoudsopgave

1 Research Framework.- 1.1 Research Problem.- 1.2 Research Field and Research Question.- 1.3 Methodical Framework and Expected Results.- 1.4 Content Overview.- 2 Knowledge Measurement Approaches.- 2.1 Cognitive Science Approach.- 2.2 Management Measurement Approach.- 3 The Knowledge Potential View.- 4 Quantum Mechanics.- 4.1 Quantum Definition and Knowledge Quantum.- 4.2 History of Quantum Theory.- 4.3 Quantum Mechanical Concepts.- 4.4 The Uncertainty Principle.- 5 Knowledge Potential Measurement and Uncertainty.- 5.1 Analogical Reasoning.- 5.2 Knowledge Architecture.- 5.3 Questionnaire Design.- 5.4 Defining Momentum, Position, and Velocity.- 5.5 General Measurement Procedure of the Knowledge Potential.- 5.6 The Specific Measurement of the Knowledge Potential (KP).- 5.7 Skill Acquisition and Rating Scale for the Knowledge Worker.- 5.8 Measurement of the Uncertainty of the Knowledge-engineer.- 6 Case Studies for Knowledge Measurement.- 6.1 Case Study Design.- 6.2 Data Analysis.- 7 Key Research Results and Future Research Fields.- Appendices.- Appendix A: Questionnaire for the Head of the Company.- Appendix B: Questionnaire for the Knowledge Workers.- Appendix C: Heisenberg’s derivation of the Uncertainty Relation.- References.

Managementboek Top 100

Rubrieken

Populaire producten

    Personen

      Trefwoorden

        Knowledge Potential Measurement and Uncertainty