Effect of firm characteristics, supplier relationships and techniques used on Supply Chain Risk Management (SCRM): An empirical investigation on French industrial firms

Olivier Lavastre, Angappa Gunasekaran, Alain Spalanzani

Research output: Contribution to journalArticlepeer-review

73 Scopus citations

Abstract

Recent years have witnessed a focus on managing risks in supply chains. On the one hand, there are many cases where events like natural disasters, strikes and terrorism have significantly influenced the performance of organisational supply chains and in turn their competitiveness. And on the other hand, operational activities and strategic decisions of the firms (concerning, for e.g. supply, procurement, production, delivery, commercialisation, demand management, planning, etc.) can be different than expected and so create uncertainties. Uncertainties, whether they are external or internal, impact organisations leading to increased supply chain risk. Realising the potential implications of these situations on supply chain competitiveness, an attempt has been made to define risks and their sources and to identify the management that can help reduce the negative impact of risks on supply chains. In this paper, a framework for supply chain risk management (SCRM) is proposed and is applied using the data collected from 164 French companies, in manufacturing sector. The literature review, theoretical framework and empirical research undertaken in this work have led to identifying critical success management for SCRM. The focus of this paper is the inter-organisational management of supply chain risk: the collaborative relationship (with industrial and supply partners) can be considered as an efficient way to make SCRM. The paper finishes with a summary of the findings and conclusions, along with suggestions for future research projects.

Original languageEnglish (US)
Pages (from-to)3381-3403
Number of pages23
JournalInternational Journal of Production Research
Volume52
Issue number11
DOIs
StatePublished - Jun 3 2014

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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