scholarly journals The Impact of COVID-19 on the Global Supply Chain: A Discussion on Decentralization of the Supply Chain and Ensuring Interoperability

2021 ◽  
Vol 16 (1) ◽  
pp. 56-60
Author(s):  
Eri Ino ◽  
Kenji Watanabe ◽  
◽  
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Management System ◽  
Global Supply Chain ◽  
Manufacturing Industries ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Support Measures ◽  
The World ◽  
The Impact

Focusing on reconstruction of the Global Supply Chain (GSC), which has been accelerated by the spread of the COVID-19 pandemic, this study considers how COVID-19 has impacted the GSC and the appropriate approach to Supply Chain Risk Management (SCRM) in the future. Due to the spread of COVID-19, manufacturing industries across the world, including those in Japan, have faced difficulties in procurement and continuation of production. Under these circumstances, the Japanese Government has implemented measures to support the supply chain. This study reviews the decentralization and complication of the GSC triggered by the changing environment around it and the support measures undertaken. Considering a more decentralized and complicated GSC in future and its SCRM, the authors will continue to examine the effectiveness of the introduction of a management system based on standardized rules in the region concerned.

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.

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.

scholarly journals Prioritization of the Best Sustainable Supply Chain Risk Management Practices Using a Structural Analysis Based-Approach

2021 ◽  
Vol 13 (9) ◽  
pp. 4608
Author(s):  
Manel Elmsalmi ◽  
Wafik Hachicha ◽  
Awad M. Aljuaid
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Structural Analysis ◽  
Management Practices ◽  
Supply Chain Risk Management ◽  
Sustainable Supply Chain ◽  
Supply Chain Risk ◽  
Delayed Differentiation ◽  
Two Phases ◽  
The Impact

Companies attempt to improve the performance of their supply chain (SC) by distinguishing and presenting feasible sustainable development practices (SDP). Considering SDP without focusing on sustainability risks may disturb the company’s future. Very few studies in the extant literature have dealt with the impact of (SDP) on the supply chain risk management (SCRM). In fact, the aim of this paper is to classify and prioritize SDPs according to their priority for better risk management and effective SC performance. The proposed approach comprises two phases. First, 14 SDPs are identified and selected from the literature. Second, MICMAC (Matrice d’impacts croisés multiplication appliquée à un classement) method as a structural analysis method applies to identify and assess sustainable supply chain risk management (SSCRM) practices which reduce risk in the SC. The input data for each phase are based on Delphi technique, which is a process group used to collect the opinions of experts in the field. The aim of the proposed approach is to prioritize SSCRM practices and classify them into influential, non-influential, independent and dependent practices and their mutual relationships. The six key findings SSCRM practices from direct and indirect classification include the following elements: (1) Delayed differentiation, (2) Information sharing with upstream and/or downstream partners, (3) Simplification of product dismantling/anticipation of product end of life, (4) Supplier/subcontractor’s performance assessment, (5) establishing shared supply management and (6) establishment of contracts with transporters.

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