TY - JOUR
T1 - A survey on the suitability of risk identification techniques in the current networked environment
AU - Aboutorab, Hamed
AU - Hussain, Omar K.
AU - Saberi, Morteza
AU - Hussain, Farookh Khadeer
AU - Chang, Elizabeth
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/3/15
Y1 - 2021/3/15
N2 - Risk management is a necessary consideration in any decision-making activity. In global supply chains that are increasingly becoming internetworked and data-centric, risk management assists risk managers in making smart decisions to achieve their desired outcomes. Because of its importance, there are many studies in the literature on supply chain risk management. However, most of these are from a managerial perspective, and very few provide a technical perspective by surveying the techniques that have been used for risk management and their effectiveness. In this paper, we focus on the activity of risk identification and assess the suitability of the techniques used for this process to be effective in the current networked supply chain environment. We do this by first surveying the domain-independent risk identification techniques proposed between 1980 and 2020 and study the type of technique they use, classifying them according to the proposed taxonomy and then evaluating them to determine whether they meet the requirements of identifying risks in the networked environment. We then survey the techniques used for supply chain risk identification between 1980 and 2020 and determine their suitability along with their limitations in meeting the requirements of identifying risks in the networked supply chain environment. Based on the identified gaps, we then present different solution considerations to inform supply chain risk managers of the improvements needed to be made in the process of risk identification to meet the requirements of networked global supply chains.
AB - Risk management is a necessary consideration in any decision-making activity. In global supply chains that are increasingly becoming internetworked and data-centric, risk management assists risk managers in making smart decisions to achieve their desired outcomes. Because of its importance, there are many studies in the literature on supply chain risk management. However, most of these are from a managerial perspective, and very few provide a technical perspective by surveying the techniques that have been used for risk management and their effectiveness. In this paper, we focus on the activity of risk identification and assess the suitability of the techniques used for this process to be effective in the current networked supply chain environment. We do this by first surveying the domain-independent risk identification techniques proposed between 1980 and 2020 and study the type of technique they use, classifying them according to the proposed taxonomy and then evaluating them to determine whether they meet the requirements of identifying risks in the networked environment. We then survey the techniques used for supply chain risk identification between 1980 and 2020 and determine their suitability along with their limitations in meeting the requirements of identifying risks in the networked supply chain environment. Based on the identified gaps, we then present different solution considerations to inform supply chain risk managers of the improvements needed to be made in the process of risk identification to meet the requirements of networked global supply chains.
KW - External events
KW - Networked environment
KW - Techniques for risk identification
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U2 - 10.1016/j.jnca.2021.102984
DO - 10.1016/j.jnca.2021.102984
M3 - Review article
AN - SCOPUS:85099508303
SN - 1095-8592
VL - 178
SP - 1
EP - 23
JO - Journal of Network and Computer Applications
JF - Journal of Network and Computer Applications
M1 - 102984
ER -