Using analytic network process and goal programming for interdependent information system project selection

Information system (IS) project selection problems are multi-criteria decision-making (MCDM) problems. Existing methods for IS project selection do not reflect interdependencies among criteria and candidate projects. Considering these interdependencies among criteria provides valuable cost savings and greater benefits to organizations. When we evaluate project problems, we need to collect a group opinion because to know the interdependence relationship among criteria in considered project problems is very important. In order to collect group opinion for interdependent project problem, we use expert interview. In this paper, we suggest an improved IS project selection methodology which reflect interdependencies among evaluation criteria and candidate projects using analytic network process (ANP) within a zero–one goal programming (ZOGP) model.