Supply chain risk management: creating an agenda for future research
Abroon Qazi, Barbara Gaudenzi
Abstract
Open-access reader
Abroon Qazi, Barbara Gaudenzi
Abstract
Open-access reader
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.
OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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