Information systems model for targeting policies: A graph-theoretic analysis of expert knowledge

Abstract

This paper develops a graph-theoretic approach to analyzing information system priorities using expert knowledge. The constructed information system model lends itself to the identification and quantification of priority pathways of information flow in the system where agents have different learning and information distribution capacities. The approach is developed in four steps. In step 1, a policy issue is formulated using systems approach. In step 2, through a workshop, expert knowledge is gathered on the interactions of system components. Distribution and learning capacities of individual components are approximated through a questionnaire. In step 3, with the aid of graph-theoretic concepts, system priorities are quantitatively refined. In step 4, using the findings from graph-theoretic analysis, specific policy interventions are developed for effective targeting of the policy issue. The approach developed is then illustrated with an application to food and nutrition security information system in Azerbaijan. Specific policy intervention strategies are proposed.