Organization Structure: Cybernetic Systems Foundation

2003. Auflage 2003
ISBN: 978-0-306-47808-6
Verlag: Springer Us

Buch, Englisch, Band 22, 288 Seiten, Format (B × H): 162 mm x 232 mm, Gewicht: 572 g

Reihe: IFSR International Series in Systems Science and Systems Engineering

Organization Structure: Cybernetic Systems Foundation utilizes a cybernetic systems framework for the study of organizations using GST (General Systems Theory) and presents a comprehensive formal view of organizations assessing regulation, coordination and adaptation managements. The use of GST in this book is in sharp contrast to previous attempts. It addresses structural problems totally based on qualitative, non-numerical mathematics. The book lays a framework for initial efforts to investigate the potential of using formal GST to address organizational dilemmas. The text has been tested in several graduate courses. It can serve as an excellent textbook or reference for graduate level research in this field, as well as a reference for researchers in related fields.

Zielgruppe

Research

Autoren/Hrsg.

Takahara, Yasuhiko

Mesarovic, Mihajlo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Mathematische Analysis Variationsrechnung

Inhaltsverzeichnis

1 Organizational Cybernetics.- 1.1 Traditional Systems View of Organization.- 1.2 Management Cybernetics: A Viable System Model.- 1.3 General Systems Theoretic View of Complex System: Multi-layer Model.- 1.4 Model of Organizational Cybernetics.- 2 Goal Seeking System.- 2.1O rganization Member as Goal Seeking System.- 2.2 Decision Problem.- 2.3 Decision Principle and Formal Representation of Goal Seeking System.- 2.4 Input Output Model Associated With Goal Seeking System: Standard Operating Procedure.- 3 Goal Compatibility.- 3.1 Goal Compatibility in Decision Principle.- 3.2 Goal Compatibility Example: Political Desirability of Decision Principle.- 3.3 Required Properties for Decision Principle.- 4 Organization Skeleton.- 4.1 Hierarchical Skeleton of Organization.- 4.2 Taxonomy of Organization.- 4.3 Properties of Organization Chart.- 5 Operational Level Management.- 5.1 Regulation of Operational Level.- 5.2 Stability of Operational Level.- 5.3 Departmentalized Operational Units.- 5.4 Optimization Activity of Operational Level.- 6 Organizational Level Management.- 6.1 Total Scheme of Organizational Level Management.- 6.2 Formulation of Organizational Level Management.- 6.3 Example of Formulation.- 6.4 Coordination Principle and Design of Organizational Level Management.- 7 Goal Assignment Coordination.- 7.1 Organizational Level Management Structure on IBP (Interaction Balance Principle).- 7.2 Intra-level Function for IBP Coordination.- 7.3 Validity Theorem of Operational Goal Assignment Coordination.- 7.4 Operational Level Goal Design for IBP.- 8 Task Assignment Coordination.- 8.1 Organizational Level Management Structure in Coordination by IPP.- 8.2 Example of Organizational Level Management Structure on IPP.- 8.3 Validity Theorem of Operational Task Assignment.- 9 Normative Behavior Model Of Operational Level.- 9.1 Normative Operational Level Model.- 9.2 Formulation of Normative Operational Unit and Optimal Directive.- 9.3 Management Structure of Normative Model.- 9.5 Feasibility of Normative Management.- 10 Institutional Level Management.- 10.1 External Input Structure and Institutional Level Management.- 10.2 Structure.- 10.3 Internal Model Principle.- 10.4 Environmental Variety and Internal Variety.- 10.5 Variety Matching.- 11 Computational Approach To Organization.- 11.1 Computational Approach to Organization Theory.- 11.2 Garbage Can Model.- 11.3 Formulation of Garbage Can Model.- 11.4 Implementation of Garbage Can Model.- Appendix I General Sytems Approach and General Systems Models.- AI.1 Introduction.- AI.2 Development Methodology and General Systems Model.- AI.3 Characterization.- AI.4 Categorization.- AI.5 Universality.- Appendix II Min-Max Theorem.- AII.1 Introduction.- AII.2 Preliminary Concepts.- All.3 Optimization and Min-max Theorem.- AII.4 Min-max Theorem for Differentiable Function.- AII.5 Min-max Theorem.- Appendix III Maximum Principle.- AIII.1 Introduction.- AIH.2 Maximum Principle.- References.