The Intelligent Enterprise: Theoretical Concepts and Practical ImplicationsSpringer Science & Business Media, 2005 - 141 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
Introduction | 1 |
12 Environmental Demands and Constraints | 2 |
13 Three Dominating Effects and the Necessities Implied | 5 |
132 Precision | 6 |
134 Conclusion | 8 |
Natural Solutions to a WellKnown Problem | 9 |
16 The Objective | 11 |
Background Discussion of the StateoftheArt | 13 |
461 Cognition | 50 |
462 Reflection | 51 |
Theory of System Knowledge An Introduction to the Proposed Theoretical Framework Understanding and Describing Knowledge and Intelligence ... | 53 |
52 Knowledge | 57 |
53 Knowledge from a Microscopic Perspective | 58 |
54 Knowledge from a Macroscopic Perspective | 60 |
55 Declarative Processing | 62 |
56 Macroscopic Microscopic Integration | 64 |
22 Information Management and IT Driven Developments | 14 |
23 The Pragmatic Extension of Organizational Learning | 15 |
24 KM Models Approaches to a Holistic Knowledge Management | 16 |
25 The Traditional Knowledge Management | 18 |
26 New Scientific Approaches | 19 |
27 Conclusion and Consequences | 20 |
The Approach A Discussion of the Proposed Approach Its Scientific Grounding and Direct Consequences | 23 |
32 The Scales of Learning | 26 |
33 Systems Exposed to Evolution | 29 |
34 Scaling and Its Consequences | 31 |
35 Phenomenological Consequences | 32 |
Theory of Real Systems A Discussion of Important Scientific and Philosophic Concepts from the Perspective of Engineering Management | 35 |
41 Classic Systems | 36 |
412 Interactions and Properties | 38 |
413 The Process | 39 |
414 The System A Classic Definition | 40 |
42 Real Systems | 42 |
43 Fundamentals of Autopoietic Systems | 45 |
44 The MicroscopicMacroscopic Dichotomy | 46 |
45 Social Systems Communication as a Structural Element | 48 |
46 Cognition Reflection and Memory | 49 |
57 Summary | 65 |
The Intelligent Enterprise The Application of the Derived Theoretical Framework to the Domain of Business and Engineering Management | 67 |
62 Enterprise Intelligence | 69 |
63 Enterprise Knowledge | 72 |
64 Declarative Processing on Enterprise Level | 76 |
65 General Implications and Organizational Consequences | 78 |
652 Evaluating Enterprise Intelligence | 81 |
653 Intelligent Interactions Knowledge Types and Rational Behavior | 82 |
Realizing Enterprise Intelligence A Deeper Discussion on Concepts and Consequences to Realize the Intelligent Enterprise | 87 |
71 Objectives and General Implications | 88 |
72 Communicating Capabilities | 89 |
722 The PBB Functional Description and Reasoning Engine | 91 |
723 The Wrapping Information | 96 |
724 The Implementation of PBBs | 97 |
74 The Autopoietic Framework | 101 |
742 Refinement of the Systems Organization | 105 |
743 Refinement of the Systems Structure | 106 |
75 System Architecture | 107 |
76 Characteristics of the Running System | 109 |
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The Intelligent Enterprise: Theoretical Concepts and Practical Implications Markus J. Thannhuber Eingeschränkte Leseprobe - 2006 |
Häufige Begriffe und Wortgruppen
ability achieve activities adapt agent approach assembly Autopoiesis autopoietic system capabilities cognitive communication company's complexity concept consequence constituents constraints coordination costs database decision tree Declarative Processing define degrees of freedom domain dynamic effects employees enacted processes engineering Enterprise Intelligence enterprise's environment Epistemology evaluation evolutional development exist explicit knowledge framework fundamental fundamental interactions GCEN system given high-level highly human identified implementation intangible assets integration Intellectual Capital intelligent enterprise intelligent systems interactions introduced ISBN knowledge and intelligence Knowledge Workers living system logic Luhmann macroscopic mechanisms microscopic perspective monopolistic competition neuron Ontology organizational Organizational Learning parameters phenomenological physical process building blocks production profit provides realize reasoning branches reproduce requires response behavior response process role ROMHARDT scientific selections sensors service request setup solutions stimuli structural components structural elements system enterprise System Level System Theory task theoretical tion trigger understanding value added wrapping information