Applying Interpretive Structural Modeling and MICMAC Analysis to Evaluate Inhibitors to Transparency in Humanitarian Logistics

espanolEl objetivo principal de este estudio es identificar las variables por la falta de transparencia en la logistica humanitaria (HL) y determinar su relacion mutua. El metodo de modelado de estructura interpretativa (ISM) se aplico para extender un modelo basado en la jerarquia de las variables identificadas. El estudio hace dos contribuciones clave: se determinan las variables que pueden reflejarse como inhibidores de la transparencia en HL, y la metodologia ISM se utiliza para determinar el grupo de variables que tienen control total, poca dependencia e importancia estrategica. Los resultados del estudio son beneficiosos para todos los interesados en la reduccion del riesgo de desastres. EnglishThe main purpose of this study is to identify the variables for the lack of transparency in humanitarian logistics (HL) and to determine their mutual relationship. The interpretive structure modeling (ISM) method was applied to extend a hierarchy-based model of the identified variables. The study makes two key contributions: the variables that can be reflected as inhibitors to transparency in HL are determined, and the ISM methodology is used to determine the group of variables that have full control, low reliance and strategic importance. The study findings are beneficial for all stakeholders of disaster risk reductions.