scholarly journals Supply chain risk management modelling: A systematic literature network analysis review

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
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Network Analysis ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Risk Models ◽  
Research Directions ◽  
Research Areas ◽  
Future Research Directions

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.

Integrated supply chain risk management: a systematic review

2017 ◽  
Vol 28 (4) ◽  
pp. 1123-1141 ◽  
Author(s):  
Quan Zhu ◽  
Harold Krikke ◽  
Marjolein C.J. Caniëls
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Contingency Analysis ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
Integrated Supply Chain

Purpose Supply chain risks specifically refer to risks that transmit among supply chain members, thus they should be understood and managed as a whole for an end-to-end supply chain. The purpose of this paper is to review literature of integrated supply chain risk management (ISCRM) that connects supply chain integration (SCI) with supply chain risk management. Design/methodology/approach The systematic literature review methodology was used to select and categorize articles between 1998 and 2015 in peer-reviewed journals. A contingency analysis was further applied to detect association patterns and links between category items. Findings Through a systematic literature review, the research has clearly analyzed risk sources, scopes and dimensions of SCI, and scopes and dimensions of performance in the field of ISCRM. Furthermore, by applying the contingency analysis, the paper has proposed future research directions that are based on the extant literature findings. Originality/value The identified insights, gaps, and future research directions will encourage researchers as well as managers to drive the development of ISCRM.

scholarly journals A review of supply chain risk management: definition, theory, and research agenda

2018 ◽  
Vol 48 (3) ◽  
pp. 205-230 ◽  
Author(s):  
Yiyi Fan ◽  
Mark Stevenson
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Research Agenda ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
Theory Use

Purpose The purpose of this paper is to review the extant literature on supply chain risk management (SCRM, including risk identification, assessment, treatment, and monitoring), developing a comprehensive definition and conceptual framework; to evaluate prior theory use; and to identify future research directions. Design/methodology/approach A systematic literature review of 354 articles (published 2000-2016) based on descriptive, thematic, and content analysis. Findings There has been a considerable focus on identifying risk types and proposing risk mitigation strategies. Research has emphasised organisational responses to supply chain risks and made only limited use of theory. Ten key future research directions are identified. Research limitations/implications A broad, contemporary understanding of SCRM is provided; and a new, comprehensive definition is presented covering the process, pathway, and objectives of SCRM, leading to a conceptual framework. The research agenda guides future work towards maturation of the discipline. Practical implications Managers are encouraged to adopt a holistic approach to SCRM. Guidance is provided on how to select appropriate risk treatment actions according to the probability and impact of a risk. Originality/value The first review to consider theory use in SCRM research and to use four SCRM stages to structure the review.

Supply Chain Risk Management

2016 ◽  
pp. 516-530 ◽  
Author(s):  
Maryam Zomorrodi
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Research Areas ◽  
Organizational Functions ◽  
Management Concept ◽  
Complex Relationships

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.

The contemporary state of big data analytics and artificial intelligence towards intelligent supply chain risk management: a comprehensive review

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harsh M. Shah ◽  
Bhaskar B. Gardas ◽  
Vaibhav S. Narwane ◽  
Hitansh S. Mehta
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions

PurposeThis paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management (SCRM). Finally, future research directions in this field have been suggested.Design/methodology/approachThe papers were searched using a set of keywords in the SCOPUS database. These papers were filtered using the Title abstract keywords principle. Further, more papers were found using the forward-backward referencing method. The finalized papers were then classified into eight categories.FindingsThe previous papers in AI and BDA in SCRM were studied. These papers emphasized various modelling and application techniques for AI and BDA in making the supply chain (SC) more resilient. It was found that more research has been done into conceptual modelling rather than real-life applications. It was seen that the use of AI-based techniques and structural equation modelling was prominent.Practical implicationsAI and BDA help build the risk profile, which will guide the decision-makers and risk managers make their decisions quickly and more effectively, reducing the risks on the SC and making it resilient. Other than this, they can predict the risks in disasters, epidemics and any further disruption. They also help select the suppliers and location of the various elements of the SC to reduce the lead times.Originality/valueThe paper suggests various future research directions that fellow researchers can explore. None of the previous research examined the role of BDA and AI in SCRM.

A critical analysis of supply chain risk management content: a structured literature review

2017 ◽  
Vol 14 (1) ◽  
pp. 69-90 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Literature Review ◽  
Critical Analysis ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Marked Rise ◽  
Content Type ◽  
Risk Management Process

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.

Incorporating the risk of knowledge loss in supply chain risk management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdelkader Daghfous ◽  
Abroon Qazi ◽  
M. Sajid Khan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Risk Mitigation ◽  
Relevant Literature ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Knowledge Loss ◽  
Content Type ◽  
Knowledge Based

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.

Supply Chain Risk Management

2011 ◽  
pp. 15-32 ◽  
Author(s):  
Iwan Vanany ◽  
Suhaiza Zailani ◽  
Nyoman Pujawan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Research Area ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Cross Sectional ◽  
Unit Of Analysis ◽  
Risk Management Process ◽  
Industry Sectors

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.

scholarly journals Supply chain risk management research agenda

2018 ◽  
Vol 24 (2) ◽  
pp. 567-588 ◽  
Author(s):  
Ozlem Bak
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Process Analysis ◽  
Geographic Location ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Academic Journal ◽  
Content Type ◽  
Wide Range

Purpose Supply chain risk (SCR) has increasingly attracted academic and corporate interest; however, the SCR debate in academic literature is rather limited to case- and location-specific studies. Hence, the purpose of this paper is to utilize a systematic literature review (SLR) to explore the SCR research trends and gaps within the management literature. Design/methodology/approach To achieve the research objective an SLR, looking into 25 years since 1990, into supply chain risk management (SCRM) was conducted, which resulted in 114 papers. Findings While the SCRM literature is growing, results from the SLR identified limited organized understanding of what constitutes a holistic SCR process, and high reliance of particular categories for SCR, such as the high reliance on specific country settings (the USA and the UK); limited presence of cross competitive SCR process analysis and challenges in developing conceptual SCR frameworks. Research limitations/implications The SCR embeds categories of location, scope of supply chain, risk management tools, and the industry sectors involved. The search for related publications was mainly used from a wide range of coverage from accountancy to design in SCR; hence, although there is indication to specific industries, and foci of risk, this could be explored further. Practical implications This review of SCRM identifies various research gaps and directions for future research to develop theory and a practical understanding of SCR. Originality/value The current literature on SCR has been assessed based on its definition and utilization. The current paper bridges this gap by synthesizing the diverse academic journal papers into the categories based on the design continuum, relationship continuum, process continuum and economic continuum. In addition, it highlights the gaps in industry context, theoretical contribution, geographic location, and research methods applied and addresses the scope for further research.

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