Title: Enablers of supply chain competitiveness: an interpretive structural modelling approach

Authors: Ajay Verma; Nitin Seth; Nisha Singhal

Addresses: Department of Mechanical and Production Engineering, Mualana Azad National Institute of Technology, Bhopal, Madhya Pradesh 462051, India. ' Indian Institute of Foreign Trade, IIFT Bhawan, B-21, Qutab Institutional Area, New Delhi 110016, New Delhi, India. ' Department of Mathematics, University Institute of Technology, Rajiv Gandhi Technological University, Gandhi Nagar, Bhopal, Madhya Pradesh 462036, India

Abstract: Measurement of supply chain competitiveness is a vital task for today|s competing organisations. There has been a growing recognition for improvements in the supply chain and so as to increase supply chain competitiveness. Interpretive structural modelling (ISM) has emerged as a means to analyse the relational aspects of the variables. The objective of this paper is to identify enablers of supply chain competitiveness and to establish and analyse relationships among these enablers using interpretive structural modelling.

Keywords: supply chain competitiveness; supply chain management; SCM; interpretive structural modelling; ISM; structured self interaction matrix; reachability matrix; MICMAC analysis.

DOI: 10.1504/IJVCM.2011.043227

International Journal of Value Chain Management, 2011 Vol.5 No.3/4, pp.212 - 231

Published online: 20 Oct 2011 *

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