<p><P>The analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible tools for this analyis, and have been applied successfully in various fields such as Biology, Eco
Soft Systems Methodology: Conceptual Model Building and Its Contribution
✍ Scribed by Brian Wilson
- Year
- 2001
- Tongue
- English
- Leaves
- 280
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Conceptual model building is accepted as a key phase in Soft Systems Methodology. Despite the recognition of the importance of the SSM, students are still experiencing difficulty with the basic process of conceptual model building. This book addresses that issue.
✦ Table of Contents
Soft Systems Methodology......Page 3
Contents......Page 9
Foreword by Mike Duffy......Page 11
Preface......Page 13
Preamble......Page 15
1. Models and Methodology......Page 21
2. Basic Principles of HAS Modelling......Page 31
3. Selection of Relevant Systems......Page 55
4. Business Process Re-engineering......Page 79
5. The Consensus Primary Task Model......Page 93
6. CPTM—Formulation Using Wider-system Extraction......Page 111
7. CPTM—Assembly Using the Enterprise Model......Page 131
8. Application to Training Strategy and HR......Page 161
9. Generic Model Building......Page 185
10. Conclusions......Page 207
Appendix 1. The Albion Case......Page 213
Appendix 2. Exercises......Page 239
Appendix 3. The Development of the United Kingdom’s Single Army Activity Model and Associated Information Needs and its Relationship to Command and Control......Page 243
Appendix 4. An Overview of Soft Systems Methodology......Page 265
Appendix 5. Example of Applying Information Analysis Method to Airspace Control Function......Page 269
Appendix 6. Examples of Product to Information Category Mapping......Page 273
References......Page 277
Index......Page 279
✦ Subjects
Менеджмент;Управление проектами;
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