The Intelligent Enterprise: Theoretical Concepts and Practical ImplicationsSpringer Science & Business Media, 30.03.2006 - 142 Seiten In today’s competitive environments enterprises face diminishing market life spans, increasing pressure on profit margins and increasingly complex c- tomer requirements. Thus in their operations, modern organizations have to find a high-level balance between dynamics, complexity and precision in order to best utilize their markets. Organization Theory and Industrial En- neering, the disciplines on hand helping industry to cope with this challenge, soon identified process optimizations as the key to possible solutions. Many efforts have been undertaken to provide sound theoretical models to deal with complexity and dynamics and streamline business processes. These efforts on the one hand helped companies to be more precise in carrying out their actions and even provided solutions to produce customized products at near-mass production prices (Mass-Customization). On the other hand it t- ned out to be one of the most difficult tasks to generalize and transfer ex- riences gained in one process-reengineering project to another and put the theoretical models into practice. Not without reason is it the extremely high failure rate of business-process-reengineering projects that today deters most enterprises from entering such adventures. Right at the same time there emerged a new and highly promising scientific branch, Knowledge Management, that attracted many disciplines – among others again Organization Theory and Industrial Engineering. Knowledge was identified as a major production factor. In industrialized countries, value added is mainly raised by the intellectual abilities of a company’s workforce. |
Inhalt
Preface | 1 |
The Approach | 23 |
Theory of Real Systems | 35 |
Theory of System Knowledge | 53 |
36 | 62 |
The Intelligent Enterprise | 67 |
Realizing Enterprise Intelligence | 87 |
Conclusion | 111 |
Glossary | 125 |
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The Intelligent Enterprise: Theoretical Concepts and Practical Implications Markus J. Thannhuber Eingeschränkte Leseprobe - 2005 |
Häufige Begriffe und Wortgruppen
ability achieved activities adapt agent approach Autopoiesis autopoietic systems behavioral patterns capabilities changes Chap cognitive communication company’s complexity concept consequence constraints context coordination costs decision tree declarative processing define degrees of freedom discussed in chapter domain dynamic effects employees enacted processes engineering enterprise’s environment Epistemology evaluation exist explicit knowledge framework fundamental fundamental interactions GCEN system given high-level higher-level systems highly human identified implementation integration intelligent enterprise intelligent systems interactions introduced ISBN knowledge and intelligence Knowledge Management Knowledge Workers living system logic Luhmann macroscopic perspective monopolistic competition neuron ontology Organizational Learning parameters participants phenomenological physical Piaget process building blocks production profit provides realize reasoning branches regarded reproduce requires response behavior response process role ROMHARDT scientific sensors service request solutions stimuli structural components structure and organization system enterprise System Level System Theory task theoretical tion today’s traditional Knowledge trigger understanding value added wrapping information