Supply Chain Risk Management

Author(s):  
Maryam Zomorrodi

The importance of supply chain management (SCM) has been increasing recently and the concept of supply chain risk management (SCRM) has been gradually expanded. Since the concept of risk and uncertainty permeates all organizational functions, risk management would seem to be a crucial step towards safeguarding a company's competitive advantage. In the case of modern supply chains, which are composed of complex relationships necessitated by competitive pressures such as outsourcing and globalization, understanding and implementing risk management processes and initiatives at various levels of the chain is essential (Peck, 2006). The purpose of this chapter is to conduct an extensive and structured review of the supply chain risk management (SCRM) literature in order to understand the importance of the risk management concept in the context of organizational supply chains, identify gaps, and suggest future research areas in this important and growing field.

2020 ◽  
Vol 31 (4) ◽  
pp. 387-416
Author(s):  
Marcus Vinicius Carvalho Fagundes ◽  
Eduardo Oliveira Teles ◽  
Silvio A B Vieira de Melo ◽  
Francisco Gaudêncio Mendonça Freires

Abstract The modelling of supply chain risk management (SCRM) has attracted increasing attention from researchers and professionals. However, a systematic network analysis of the literature to understand the development of research over time is lacking. Therefore, this study reviews SCRM modelling and its evolution as a scientific field. We collected 566 papers published in the Scopus database and shortlisted 120 for review. We have analysed the field's performance, mapped the most influential studies, as well as the generative and evolutionary research areas, and derived future research directions. Using bibliometric methods and tools for citation network analysis to understand the field's dynamic development, we find that five generative research areas provide the fundamental knowledge for four evolutionary research areas. The interpretation of gaps and trends in these areas provides an SCRM modelling timeline with 14 future research directions, which should consider adopting a holistic SCRM approach and developing prescriptive and normative risk models. The holistic approach enables more research on key factors—like process integration, design, information risk, visibility and risk coordination—that directly impact industry, decision-makers and sustainability needs. Risk models with evolved prescriptive and normative typology should respect both business model strategies and actual supply chain performance.


2017 ◽  
Vol 14 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore

Purpose The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content. The SCRM literature seems to require studies that utilize risk typology, sources of risk, etc. for reviewing the topic. The purpose of this paper is to bridge the gap by synthesizing the information obtained from 343 articles across 85 journals. This study also presents a critical analysis of the content of SCRM in a structured manner to identify the directions for future research. Design/methodology/approach A systematic literature review (SLR) was devised and adopted, which involved the selection, classification, and evaluation of 343 research articles published over a period of 11 years (2004-2014). The content of extant SCRM literature was critically analyzed and synthesized from the perspective of the risk management process (RMP). Findings The analysis of extant literature shows that there is a marked rise in research in the SCRM area, especially after the year 2005. It was observed that not only risk but also different forms of uncertainties make supply chain (SC) operations difficult to manage. The SCRM actions yielded most benefits when their implementation was at chain or network level and managed strategically. The analysis also reveals that the manufacturing sector is most affected by risks and highly investigated by researchers. Practical implications A complete process for SCRM based on risk stratification, objectives of risk management, and RMP will be a guiding model for firms to manage risks. The research gaps identified and future directions provided here will encourage researchers and managers to devise new methods, tools, and techniques to address the risks in modern SC operations. Originality/value An SLR and risk-based content classification of SCRM literature were performed. To identify, locate, select, and analyze the SCRM literature, a structured and systematic process was adopted with some very rarely used methods such as two levels of search keywords, and strings were formulated to locate the most relevant articles in major academic databases.


2017 ◽  
Vol 62 (214) ◽  
pp. 121-137
Author(s):  
Aleksandra Andjelkovic

Supply chain risk management has become imperative. Therefore, needs for proactive supply chain risk management continuously is growing. Proactive supply chain risk management is not a great problem in developed countries. The problem is present in transition countries and underdeveloped countries. In those countries has not been built awareness about the importance of networking through supply chains and risk management within the supply chain. One of them is Republic of Serbia. Outside the door of the EU, the Republic of Serbia still retains the characteristics of the old system, and that is the great limitation for implementation of proactive supply chain risk management concept. Basic aim of paper is to research the level of proactive supply chain risk management. By using an adequate statistical methods, in paper will be analysed group of large enterprises from the Republic of Serbia. Besides that, author of paper suggesting the reasons and consequences of lack of proactive supply chain risk management.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdelkader Daghfous ◽  
Abroon Qazi ◽  
M. Sajid Khan

PurposeThe literature on supply chain risk management (SCRM) has investigated a multitude of supply chain risks. This paper aims to make a case for the importance of managing the risk of knowledge loss in the supply chain management (SCM) function and incorporating knowledge loss as a critical risk within the SCRM process.Design/methodology/approachThis paper adopts a knowledge-based view of the SCRM process and attempts to bring to light insights based on a synthesis of the relevant literature. The authors conducted a systematic literature review of peer-reviewed articles published between 1998 and 2019. Further, a case study was conducted to illustrate the significance of the risk of knowledge loss in the SCM function in terms of how it operates and why it has such a significant impact on performance.FindingsKnowledge loss is a relatively neglected type of supply chain risk that can be added to the existing typologies. This paper argues that knowledge loss in the SCM function has the propensity to significantly impact the performance of the focal firm, exacerbate other types of supply chain risk and impede risk mitigation efforts. We put forth several strategies that supply chain managers can adopt to mitigate the risk of knowledge loss in their function.Research limitations/implicationsThis paper generates an exploratory opening that could pave the way for a systematic theory of knowledge loss as a supply chain risk and future empirical research. The study culminates in a number of important insights and initiatives for supply chain managers to recognize and manage the risk of knowledge loss.Originality/valueThis paper argues for the importance of incorporating the risk of knowledge loss in SCRM research and practice. It also provides an examination of some promising angles for future research in SCRM from a knowledge-based perspective.


Author(s):  
Iwan Vanany ◽  
Suhaiza Zailani ◽  
Nyoman Pujawan

Supply Chain Risk Management has increasingly becoming a more popular research area recently. Various papers, with different focus and approaches, have been published since a few years ago. This paper aims to survey supply chain risk management (SCRM) literature. Paper published in relevant journals from 2000 to 2007 will be analysed and classified into five categories: conceptual, descriptive, empirical, and exploratory cross-sectional and exploratory longitudinal. We also looked at the papers in terms of the types of risks, the unit of analysis, the industry sectors, and the risk management process or strategies addressed. The literature review will provide the basis for outlining future research opportunities in this field.


Author(s):  
Mohd. Nishat Faisal

Supply chain risk management (SCRM) is the process of risk mitigation in supply chains achieved through collaboration, coordination and application of risk management tools among the partners, to ensure continuity coupled with long-term profitability of the supply chain. Supply chain risks emanate from multiple sources and similarly risk mitigation in supply chains is dependent on several variables. The most difficult part of supply chain risk management is prioritizing risks and an understanding of the relationships among various types of risks and risk mitigation variables. Drawing from the standard framework, in this research a modified house of quality is developed to understand the relationships between various supply chain risks and risk mitigation variables. It helps to prioritize various risks and understand the current status of the supply chain and the deficient areas with regard to risk mitigation capabilities. The structured QFD process provides the supply chain managers a conceptual map that enables the improvement of planning and control of various risks that could impact a supply chain.


Author(s):  
Merve Er Kara ◽  
Seniye Ümit Oktay Fırat

Sustainable Supply Chain Management has become one of the most important managerial trends nowadays. Companies can optimize their supply chains by integrating risk management and sustainability programs. This chapter explains sustainability and risk management concepts in supply chains and discusses the relationship between these two issues in a multidirectional way. Business Intelligence tools are addressed in terms of their role and importance in supporting the management of supply chains, their risks and sustainability. The aim of the chapter is to provide a background to better understand the link between supply chain risk management, sustainability and business intelligence.


2018 ◽  
pp. 1424-1461
Author(s):  
Merve Er Kara ◽  
Seniye Ümit Oktay Fırat

Sustainable Supply Chain Management has become one of the most important managerial trends nowadays. Companies can optimize their supply chains by integrating risk management and sustainability programs. This chapter explains sustainability and risk management concepts in supply chains and discusses the relationship between these two issues in a multidirectional way. Business Intelligence tools are addressed in terms of their role and importance in supporting the management of supply chains, their risks and sustainability. The aim of the chapter is to provide a background to better understand the link between supply chain risk management, sustainability and business intelligence.


Author(s):  
Jan Husdal

Is managing risk in Virtual Enterprise Networks different from managing risk in supply chains? It is not unusual for firms in a supply chain to come together and act as a Virtual Enterprise Network (VEN) and the supply chains of today’s globalized and outsourced business environment exhibit many VEN-like features. Looking at VEN risk management from the perspective of supply chain risk management, current ideas on VENs will serve as a base onto which ideas on supply chain risk will be transposed. Many concepts related to supply chain risk will be explored and related to their possible VEN counterparts: risk, vulnerability, robustness, flexibility, resilience and business continuity. Conceptual in its approach and drawing from other areas of research, this chapter introduces four distinct groups of VENS, namely Constrained, Directed, Limited and Free VEN, and concludes that VEN risk management can and should learn from supply chain risk management.


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