Herbert Dawid / Karl Doerner / Georg Dorffner / Thomas Fent / Markus Feurstein / Richard Hartl / Andreas Mild / Martin Natter / Marc Reimann / Alfred Taudes

Quantitative Models of Learning Organizations

By Herbert Dawid, Karl Doerner, Georg Dorffner et al.

• Gebundenes Buch

Produktbeschreibung

In a rapidly changing economical environment, quick adaptation is one of the crucial tasks for modern management and permanent learning is a key-factor in the struggle for successfully coping with this challenge. The learning process itself is based not only upon the information gathered on the market, but also upon the totality of knowledge within the company.
This book develops a theory of a firm that is based on these principles rather than on optimization and classical equilibrium. It uses quantitative models to describe adaptive firm behavior, the various types of learning as well as various domains of application (organization of new production development, adoption of business models, market entry etc.). It gives an introduction to the various mathematical models of learning and to the applications to problems in microeconomics as well as in business administration.
Th e reader can expect a comprehensive introduction to the subject, its significance for economic theory and managerial practice.

Produktdetails

• Interdisciplinary Studies in Economics and Management Vol.3
• Verlag: Springer, Wien
• Seitenzahl: 166
• Erscheinungstermin: 24. April 2002
• Englisch
• Abmessung: 254mm
• Gewicht: 420g
• ISBN-13: 9783211837245
• ISBN-10: 3211837248
• Artikelnr.: 10494841

Autorenporträt

Herbert Dawid, University of Southern California, Los Angeles, CA, USA / Alfred Taudes, WU Wien, Austria / Georg Dorffner, University of Vienna, Austria / Thomas Fent, Österreichische Akademie der Wissenschaften, Wien, Austria / Markus Feurstein, WU Wien, Austria / Richard F. Hartl, University of Vienna, Austria / Andreas Mild, WU Wien, Austria / Martin Natter, WU Wien, Austria / Marc Reimann, University of Vienna, Austria

Inhaltsangabe

I. Organizational Learning - Foundations and Significance.- 1. Microeconomics and Business Strategy.- 2. The Learning Firm.- II. Genetics-based machine learning applications to product placement.- 3. Genetic-based machine learning.- 4. Product Placement.- III. Ant based computation in the Management Sciences.- 5. Ant Systems to solve operational problems.- 6. Ant based approaches to strategy.- IV. Neural Network and Game Theory Applications to New Product Development.- 7. Neural Networks in Agent-Based Economic Modeling.- 8. Organizing Learning and Product/Process Development.- 8.8.5 Appendix.