Contextual relationship among antecedents of truck freight using interpretive structural modelling and its validation using MICMAC analysis Online publication date: Wed, 15-Apr-2015
by Rameshwar Dubey; Tripti Singh; Sadia Samar Ali; Saurabh Tiwari
International Journal of Logistics Systems and Management (IJLSM), Vol. 20, No. 1, 2015
Abstract: The purpose of the paper is to develop Truck Freight Model (TFM) using interpretive structural modelling (ISM) and MICMAC analysis. In the present study, we have employed exhaustive literature survey published in reputed refereed and indexed journals and reports published by reputed agencies to identify the variables which are used for developing TFM. In order to further resolve the conflicts among variables identified through literature review we have further adopted expert opinion using ISM model to establish contextual relationship which we further refined the model using MICMAC analysis. The present study provides a unique insight into TFM. The study identifies road condition as an independent variable which results into axle failure or frequent road accidents resulting into shortage of truck drivers, has major impact on different TFM model.
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