System dynamics for humanitarian operations revisited

Purpose The purpose of this study is to show that the current complexity of humanitarian operations has only increased the usefulness of system dynamics (SD) in helping decision-makers better understand the challenges they face. Design/methodology/approach A critical analysis to evaluate how SD methodology has been applied to humanitarian operations. Findings Today's humanitarian operations are characterized by huge complexity given the increased number of stakeholders, feedback loops, uncertainty, scarce resources and multiple objectives. The authors argue that SD's tools (causal-loop diagram, data layer, simulation model) have the capacity to appropriately capture this complexity, thereby enhancing intuition and understanding. Originality/value Researchers and practitioners hesitate to use system dynamics when data is missing. The authors suggest alternatives to deal with this common situation.

Automated summary

The increasing complexity of current humanitarian operations has highlighted the usefulness of system dynamics (SD) in helping decision-makers navigate challenges such as increased stakeholders, scarce resources, and uncertainty. This study also examines alternative approaches to address the common issue of missing data in SD applications.