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.
Comment on the Paper