Investigating current paradigms in supply chain risk management – a bibliometric study

2016 ◽  
Vol 22 (4) ◽  
pp. 662-692 ◽  
Author(s):  
Irene Kilubi
Keyword(s):  
Cluster Analysis ◽  
Risk Management ◽  
Supply Chain ◽  
Research Area ◽  
Research Field ◽  
Intellectual Structure ◽  
Bibliometric Study ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type

Purpose – The purpose of this paper is to analyse the intellectual structure and research fronts of discipline of supply chain risk management (SCRM), in order to identify the knowledge groups in the research area to date, as well as to reveal any relationships between these subfields and the central influential trends. Design/methodology/approach – By means of a bibliometric study, the 32 most co-cited articles on SCRM published in 16 top business-related academic journals are analysed using multivariate statistical techniques, i.e. multi-dimensional scaling, cluster analysis and correspondence factor analysis. Findings – The results demonstrate a clearly identifiable structure as a result of the performed co-citation analysis. The conducted cluster analysis and factor bring forward that the research field is arranged in five different areas of interest: explaining supply chain (SC) risk phenomena, concepts, frameworks and insights of SCRM; modelling risks for SCs; inventory risks affecting supply efficiency; SC and product design methods; and SC risk mitigating strategies. Originality/value – Overall, the intellectual structure of SCRM is first examined through a bibliometric approach using quantitative techniques – for improved understanding of its origins, and to identify the state of the science – and to offer suggestions for future studies that could cover current gaps. This study represents the potential to advance the SCRM literature landscape.

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.

Strategic action grids: a study on supply chain risk management in manufacturing industries in India

2018 ◽  
Vol 25 (8) ◽  
pp. 3045-3061 ◽  
Author(s):  
V. Viswanath Shenoi ◽  
T.N. Srikantha Dath ◽  
C. Rajendran ◽  
P. Shahabudeen
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Mitigation Strategies ◽  
Manufacturing Industries ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Strategic Action ◽  
Content Type ◽  
The Mean ◽  
Robust Supply Chain

Purpose The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk management by original equipment manufacturers (OEMs) and suppliers in manufacturing industries to ensure a robust supply chain risk management (SCRM). Design/methodology/approach Importance-performance analysis (IPA) is utilized to identify and provide strategic recommendations to manufacturing industries for improving their supply chain performance by attaching due importance to risk constructs and appropriately choosing mitigation strategies. Findings The investigation using the strategic action grids reveals that most of the means of risks are near the point of intersection of the grand means of the risk constructs and their impact on the supply chain, indicating that all the risks have the equal likelihood of occurrence. The mean importance of risk monitoring, risk avoidance (RA) and risk sharing surpass the mean performance for both OEMs and suppliers. Research limitations/implications The study is executed with following limitations: the study assumes that the manufacturing industries across different sectors perceive similar risk. The sectors considered are automotive, heavy engineering, general engineering and home appliances. The Southern States of India are considered because of the dominant presence of many industries, especially automotive industries. However, it should be noted that these States form the manufacturing hubs where the lead organizations are functioning along with their major suppliers. Practical implications By understanding the importance of SCRM dimensions and utilization of these dimensions, firms can mitigate the impact of risk on the supply chain. The detailed study of SCRM strategies highlights the importance attached to risk factors, mitigation strategies, and top management commitment. By the implementation of SCRM strategies, supply chain managers can improve the firm’s performance. Originality/value The study involves empirically validated data on SCRM dimensions. The IPA is performed on the SCRM dimensions to investigate the importance attached to the factors of the dimensions and their performance.

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.

Countering threats from cyber and information risks

2019 ◽  
Vol 1 (2) ◽  
pp. 74-76
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Holistic Approach ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Management Of Risk

Findings Wider utilization of different technologies has increased the number and variety of potential disruptions to supply chain operations. Cyber supply chain risk management is thus growing in importance and its effectiveness at preventing and countering such threats can be maximized if supply chain members adopt a more holistic approach to the management of risk.

The proactive pursuit of surging performance through supply chain risk management

2020 ◽  
Vol 36 (7) ◽  
pp. 35-37
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Design Methodology ◽  
Reading Time ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Management Culture ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings This research paper concentrates on clarifying how the proactive supply chain risk management (SCRM) strategies of supply chain (SC) flexibility, SC responsiveness, and SC resilience, impact upon SCRM performance. Data from the Turkish manufacturers revealed that SC resilience and SC responsiveness significantly boost SCRM performance, as well as overall firm performance, by reducing their associated risk, but that SC flexibility does not. Furthermore, the presence of a risk management culture in itself did not yield the expected ultimate increase in SCRM performance. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Bridging the gap between supply chain risk management and strategic technology partnering capabilities: insights from social capital theory

2018 ◽  
Vol 23 (4) ◽  
pp. 278-292 ◽  
Author(s):  
Irène Kilubi ◽  
Helen Rogers
Keyword(s):  
Social Capital ◽  
Risk Management ◽  
Supply Chain ◽  
Organizational Performance ◽  
Social Capital Theory ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Capital Theory ◽  
Content Type ◽  
The Impact

Purpose As companies seek to continually innovate to remain globally competitive, they also need to be mindful of the impact of the potential associated supply chain risks. Hence, the purpose of this study is to explore the causal nexus of relationships linking supply chain risk management (SCRM) and strategic technology partnering (STP) capabilities (i.e. organizational capabilities, technological and innovative capabilities, learning and exploitation capabilities, complementary capabilities and network and partnership capabilities) as identified by Kilubi (2016). Design/methodology/approach The authors investigate STP capabilities that may positively influence SCRM and in turn foster organizational performance. By using conceptual theory building, the authors create a conceptual framework and use it to guide future investigation through research propositions. Social capital theory serves as the theoretical background. Findings Five STP capabilities have been identified as positive mediators for the relationship between SCRM and organizational performance, in particular flexibility and responsiveness. Originality/value This paper focuses on bridging the gap and identifying commonalities between two principal research disciplines, STP and SCRM, examining how these can be used to assist in the controlling and management of future risks. This study contributes to the ongoing development of SCRM and STP by integrating insights from social capital theory, supply chain management and strategic management.

Barriers to multi-tier supply chain risk management

2020 ◽  
Vol 31 (3) ◽  
pp. 465-487
Author(s):  
Liyuan Wang-Mlynek ◽  
Kai Foerstl
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information And Communication Technologies ◽  
Strategic Alliances ◽  
Case Analysis ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
High Dependency ◽  
Civil Aircraft

PurposeMulti-tier supply chain risk management (MSCRM) is an evolving and dynamic field, as any defaults or glitches in supply chains can potentially harm the efficiency and competitiveness of the entire supply chain. This study aims to investigate barriers to MSCRM in the automotive and civil aircraft industries.Design/methodology/approachThis study adopts an inductive case study research design. The case analysis includes two parts. First, the within-case analysis develops case profiles and identifies critical categories. Second, the cross-case analysis compares MSCRM patterns across the cases.FindingsThis study argues that narrow information sharing and communication covering only the immediate supply chain partners obstruct the efficiency of MSCRM. Similarly, high dependency on strategic alliances with suppliers hinders efficient MSCRM. Additionally, relying on information and communication technologies (ICT) increases companies' exposure to risks and poses another barrier to efficient MSCRM.Research limitations/implicationsFurther research should be pursued to expand generalizability and test the validity of the findings using other forms of data collection and methodologies, such as large-scale surveys, experiments or secondary data across different sectors and typical supply networks.Practical implicationsThis study provides empirical evidence on the obstacles faced by companies during the process of MSCRM. These findings can guide practitioners in developing initiatives to overcome these challenges.Originality/valueThis study is among the first to investigate the barriers to MSCRM in the automotive and civil aircraft industries using in-depth case studies across three tiers of the supply chain.

scholarly journals Reverse logistics risk management: identification, clustering and risk mitigation strategies

2020 ◽  
Vol 58 (7) ◽  
pp. 1449-1474 ◽  
Author(s):  
Hamidreza Panjehfouladgaran ◽  
Stanley Frederick W.T. Lim
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Supply Chain ◽  
Reverse Logistics ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Risk Mitigation Strategies

PurposeReverse logistics (RL), an inseparable aspect of supply chain management, returns used products to recovery processes with the aim of reducing waste generation. Enterprises, however, seem reluctant to apply RL due to various types of risks which are perceived as posing an economic threat to businesses. This paper draws on a synthesis of supply chain and risk management literature to identify and cluster RL risk factors and to recommend risk mitigation strategies for reducing the negative impact of risks on RL implementation.Design/methodology/approachThe authors identify and cluster risk factors in RL by using risk management theory. Experts in RL and supply chain risk management validated the risk factors via a questionnaire. An unsupervised data mining method, self-organising map, is utilised to cluster RL risk factors into homogeneous categories.FindingsA total of 41 risk factors in the context of RL were identified and clustered into three different groups: strategic, tactical and operational. Risk mitigation strategies are recommended to mitigate the RL risk factors by drawing on supply chain risk management approaches.Originality/valueThis paper studies risks in RL and recommends risk management strategies to control and mitigate risk factors to implement RL successfully.

A model for supply chain risk management in the automotive industry using fuzzy analytic hierarchy process and fuzzy TOPSIS

2018 ◽  
Vol 25 (9) ◽  
pp. 3831-3857 ◽  
Author(s):  
Samira Salehi Heidari ◽  
Mohammad Khanbabaei ◽  
Majid Sabzehparvar
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Organizational Performance ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Performance Factors ◽  
Hierarchy Process

Purpose One of the most important issues in supply chain (SC) management is the identification and management of the risk involved in it. The purpose of this paper is to propose a comprehensive model of supply chain risk management (SCRM) in the product life cycle (PLC) and the operational process cycle (OPC). To decrease the risks in a fuzzy environment, the model considers the organizational performance factors (OPF) and the risk operational practices (ROP). Design/methodology/approach Fuzzy analytic hierarchy process is used to determine the weights of the relationships between the PLC, OPC and OPF in the hierarchical structure of the decision problem. In addition, the fuzzy technique for order preference by similarity to ideal solution is employed to recognize the priority of ROPs in dealing with the performance factors. The integrated framework is evaluated using the case study of an automotive company in Iran. Findings The results demonstrated that the proposed model can be used to formulate an appropriate method for prioritizing defined alternatives to decrease risk and improve the organizational performance in SCRM under fuzzy conditions. Research limitations/implications A major limitation of the study is that a few of the selected criteria for risk assessment are focused only on economic factors. Another limitation of the current study is related to the PLC, OPC and OPF being based on the work of Xia and Chen (2011). Practical implications The current study identified the more important stage in the PLC. More significant process in each stage of the PLC and weightier risk factors in each process of the OPC were determined. Some strategies for reducing risk in each stage of the PLC were presented. The best alternatives for reducing risks in SC were indicated. Originality/value It is worth mentioning that previous studies have not applied multiple criteria and alternatives to decrease the risks involved in the PLC and OPC parts of the SC under fuzzy conditions. However, it should be stated that some academics have used these techniques separately, in other specialized areas of the SC.

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