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

Muhammad Khan, Arif Hussain, Naveed Farooq, Shehnaz Sahibzada, Asiya Khattak

Resumen


ABSTRACT

 

The 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. 


Palabras clave


Humanitarian logistics, information sharing, interpretive structural modelling, transparency.

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Referencias


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 ISSN: 1316-5216 / e-ISSN: 2477-9555

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Licencia de Creative Commons
Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.