Abstract
This study proposes a new method for characterising the underlying information structure of a multi-sector system. A complete characterisation is accomplished by identifying information gaps and cause-effect information pathways in the system, and formulating critical testable hypotheses. Graph-theoretical concepts and principles of systems theory are heavily exploited in this characterisation. The application of the method is illustrated with an experimental workshop in which a multi-voting scheme is carried out to identify the gaps, pathways, and hypotheses. The method should find wide applications in modelling information structures implied by qualitative expert knowledge
| Original language | English |
|---|---|
| Pages (from-to) | 15-21 |
| Journal | International Journal of Computer Applications in Technology |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2006 |
Keywords
- Graph theory
- Modelling expert knowledge
- Systems analysis
- Systems information management
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