Development of an interpretive structural model of drivers for reverse logistics implementation in Indian industry

Abstract

Reverse logistics has gained growing attention among supply chain management researchers and practitioners because of many diverse issues ranging from global warming to waste disposal. It is important for the decision makers to understand the various factors which drive the implementation of reverse logistics in a given business environment. Eleven economical, environmental and social drivers of reverse logistics have been identified. A hierarchical relationship model is developed among these eleven drivers by using interpretive structural modelling technique. It is expected that the understanding of the relationships will help the decision makers in industry and government to strategically leverage the drivers for easy and effective implementation of reverse logistics.