Risk identification in humanitarian food logistics using a hybrid literature search strategy and expert judgment
提出一种结合系统文献综述和专家判断的混合方法，识别出影响人道主义食品物流配送延迟的17个风险因素，其中库存量、道路状况和沟通问题最为关键。
When a disaster occurs, Humanitarian Logistics and Supply Chain Management (HLSCM) works to ensure the timely and appropriate distribution of relief goods. One is food distribution, one of the most needed essential supplies after a disaster. However, delays in the delivery of food logistics often occur, resulting in fatal consequences for disaster victims. In HLSCM, delays are referred to as risks, while the causes of delays are risk agents that must be identified. Identifying risk agents in distribution delays is crucial because it dramatically affects the entire HLSCM flow. This study proposes a hybrid literature search strategy combined with expert judgment to identify risk agents that cause food delivery delays in the HLSCM process. The results of this study indicate that there are 17 risk agents affecting food logistics delivery delays. Based on the mathematical aggregation of expert judgment results, the highest average values are shown by three risk agents: “inventory quantity,” “road conditions,” and “communication problems.” This investigation fills the gap in the existing HLSCM literature by explicitly identifying and validating these risk factors. The hybrid literature search strategy combines a systematic literature review with expert judgment and provides a strong framework for future research. These findings offer practical insights for stakeholders to improve logistics efficiency and ensure timely aid delivery. While focusing on risk identification, this study lays the groundwork for future research to prioritize risk mitigation strategies and further refine HLSCM practices.