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

Development of an interpretive structural model of drivers for reverse logistics implementation... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

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

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2013.058201
Publisher site
See Article on Publisher Site

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.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2013

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