2016International Journal of Supply Chain and Operations ResilienceOpen access

Supply chain risk management: creating an agenda for future research

Abroon Qazi, Barbara Gaudenzi

Open full text 12 citations

Abstract

Supply chains are becoming globalised and resulting complex interaction between supply chain actors and increasing interdependency between supply chain risks pose a real challenge in modelling and managing these risks. The purpose of this paper is to conduct a comprehensive review of literature in the field of 'supply chain risk management' and identify important research gaps for future research. We have adopted the method of 'systematic literature review' using text mining software and examined peer-reviewed articles published over a period of last 15 years (2000-2014). Keeping in view the interdependent nature of interaction between supply chain risks, there is an urgent need of developing taxonomy of risks representing causal chains of risk sources, risk events and consequences instead of relying on the existing conventional classifications that assign risks to independent categories. Existing techniques have either considered risks as independent factors or focused on solving specific problems resulting in unrealistic and sub-optimal solutions respectively. We propose a new risk management framework that can help researchers model interdependency between supply chain risks and enable practitioners visualise dynamic and holistic interaction between these risks across multiple facets of a supply network.

Open-access reader

About this research paper

What this paper is about

Supply chains are becoming globalised and resulting complex interaction between supply chain actors and increasing interdependency between supply chain risks pose a real challenge in modelling and managing these risks. The purpose of this paper is to conduct a comprehensive review of literature in the field of 'supply chain risk management' and identify important research gaps for future research. We have adopted the method of 'systematic literature review' using text mining software and examined peer-reviewed articles published over a period of last 15 years (2000-2014). Keeping in view the interdependent nature of interaction between supply chain risks, there is an urgent need of developing taxonomy of risks representing causal chains of risk sources, risk events and consequences instead of relying on the existing conventional classifications that assign risks to independent categories. Existing techniques have either considered risks as independent factors or focused on solving specific problems resulting in unrealistic and sub-optimal solutions respectively. We propose a new risk management framework that can help researchers model interdependency between supply chain risks and enable practitioners visualise dynamic and holistic interaction between these risks across multiple facets of a supply network.

Why it matters

OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Supply chains are becoming globalised and resulting complex interaction between supply chain actors and increasing interdependency between supply chain risks pose a real challenge in modelling and managing these risks. The purpose of this paper is to conduct a comprehensive review of literature in the field of 'supply chain risk management' and identify important research gaps for future research. We have adopted the method of 'systematic literature review' using text mining software and examined peer-reviewed articles published over a period of last 15 years (2000-2014). Keeping in view the interdependent nature of interaction between supply chain risks, there is an urgent need of developing taxonomy of risks representing causal chains of risk sources, risk events and consequences instead of relying on the existing conventional classifications that assign risks to independent categories. Existing techniques have either considered risks as independent factors or focused on solving specific problems resulting in unrealistic and sub-optimal solutions respectively. We propose a new risk management framework that can help researchers model interdependency between supply chain risks and enable practitioners visualise dynamic and holistic interaction between these risks across multiple facets of a supply network.

Key concepts: Interdependence, Supply chain, Supply chain risk management, Risk analysis (engineering), Risk management, Supply chain management, Computer science, Risk assessment

Related papers

Back to paper searchBrowse research topicsOriginal source
Supply chain risk management: creating an agenda for future research — Research Paper | ScholarLens