scholarly journals Using IoT in Supply Chain Risk Management, to Enable Collaboration between Business, Community, and Government

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 995-1003
Author(s):  
Li Meng
Keyword(s):  
Social Media ◽  
Risk Management ◽  
Supply Chain ◽  
Risk Mitigation ◽  
Value Added ◽  
Business Community ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Business Services ◽  
Difficult Times

The internet of things (IoT) and social media provide information related to disasters that could help businesses to strategically mitigate risks and optimize their supply chain during difficult times. This paper proposes a framework to show how business or supply chain enterprisers can collaborate with community and government in disaster supply chain risk management. Businesses must have an established risk mitigation plan, update it periodically and implement promptly. Community collaboration can build a resilient society, and government should play an important role in leading both financial and non-financial support during natural disasters and pandemic management. The IoT and social media are new mechanisms as a vocal point to enable government, ensuring trustworthiness of information, to provide the community with a means to express needs and feedback, and to assist business services to meet the changeable preferences under risk threats. Social media can be a collaborative effort between all the parties and helps make value added decisions efficiently in supply chain risk management.

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 Driven By Action Learning

2011 ◽  
pp. 212-229
Author(s):  
H.P. Borgman ◽  
Wilfred Rachan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Risk Mitigation ◽  
Action Learning ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Chain Management ◽  
Sustainable Improvement ◽  
The Difference

This chapter is the outcome of our consolidated learning on “Supply Chain Risk Management” and “Action Learning in Supply Chains” over a period from 2006 to 2010. We have also published several papers in this domain; please refer to the bibliography section. Although there is a substantial volume of literature on the topic of Supply Chain Management and no lack of coverage today on Risk Management, our motivation was guided by our desire to put into context, both from an academic and Industry perspective, a practical methodology for supply chain risk mitigation based on a proven theory of learning. This methodology will enable industry practitioners of supply chain management to comprehend and act upon risk i.e. identification, assessment, response, monitoring and evaluation. Risk Management in Supply Chain is not a “one-off” transaction but rather an ongoing practice of problem solving and organizational learning i.e. a continuous methodology for sustainable improvement. The methodology provides a means to structure past problems as knowledge to be used by the organization and increase preparedness for facing new challenges. In a global competitive market, successful management of risk in supply chain can be the difference between corporate success and failure.

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.

Managing Risk in Small and Medium Enterprises (SMEs) Supply Chains’ Using Quality Function Deployment (QFD) Approach

2013 ◽  
Vol 4 (1) ◽  
pp. 64-83 ◽  
Author(s):  
Mohd. Nishat Faisal
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Quality Function Deployment ◽  
Risk Mitigation ◽  
Current Status ◽  
Supply Chain Risk Management ◽  
Multiple Sources ◽  
Supply Chain Risk ◽  
Supply Chain Risks

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.

Supply Chain Risk Management

2011 ◽  
pp. 176-204 ◽  
Author(s):  
Ehsan Nikbakhsh
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Risk Mitigation ◽  
Mitigation Strategies ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Negative Effects ◽  
Chain Management ◽  
Risk Mitigation Strategies

During the past two decades, environments surrounding supply chains (SC) have faced many changes, which require SC managers to deal proactively with unknown situations and new risks. Therefore, one of the most important issues in supply chain management is managing uncertainties of a SC and mitigating negative effects of SC risks. In this chapter, an overview of supply chain risk management (SCRM) is given. First, fundamental concepts in SCRM are introduced. Next, sources of SC risks, SCRM and its process, and some robust SC risk mitigation strategies are introduced. Finally, an introduction to several mathematical models for SCRM is given.

The role of digitalized information sharing for flexibility capability utilization: lessons from Germany and Japan

2021 ◽  
Vol 51 (2) ◽  
pp. 181-203
Author(s):  
Mathias Doetzer ◽  
Alexander Pflaum
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Information Sharing ◽  
Risk Mitigation ◽  
Digital Information ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Content Type ◽  
Time Accuracy

PurposeInformation-sharing and flexibility are considered to be major tools for risk mitigation and supply chain resiliency. However, less light has been shed on the role of information-sharing as an enabler to utilize flexibility capabilities before and after supply chain disruptions. The aim of this paper is to provide indications on how digitalized information-sharing (DIS) enhances flexibility capability utilization.Design/methodology/approachThe methodology follows a qualitative approach, including 31 transcribed semi-structured interviews with supply chain experts in Germany and Japan.FindingsThe findings indicate that DIS supports flexibility capability utilization in pre- and post-disruptive supply chain management. First, the enhancement of estimated transport time accuracy supports rapid supplier and transport mode adjustment. Second, while the effects of DIS in manufacturing are limited without pre-existing flexibility capabilities, steady internal and external DIS utilizes exciting manufacturing flexibility to cope with disruptions beyond production. Third, track and trace technologies enhance the value of shared data and allow flexibility in the form of demand-oriented distribution, but companies unable to adopt technologies can still enhance flexibility capabilities with DIS using the existing infrastructure.Originality/valueThis paper highlights the essential role of digital information-sharing for flexibility utilization in supply chain risk management. While existing studies engaged with flexibility and information-sharing in supply chain risk management, this study contributes by emphasizing digital information-sharing as a key triggering enabler for flexibility in pre- and post-disruptive phases.

Supply Chain Risk Management Driven By Action Learning

2011 ◽  
pp. 2493-2511
Author(s):  
H.P. Borgman ◽  
Wilfred Rachan
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Risk Mitigation ◽  
Action Learning ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Chain Management ◽  
Sustainable Improvement ◽  
The Difference

This chapter is the outcome of our consolidated learning on “Supply Chain Risk Management” and “Action Learning in Supply Chains” over a period from 2006 to 2010. We have also published several papers in this domain; please refer to the bibliography section. Although there is a substantial volume of literature on the topic of Supply Chain Management and no lack of coverage today on Risk Management, our motivation was guided by our desire to put into context, both from an academic and Industry perspective, a practical methodology for supply chain risk mitigation based on a proven theory of learning. This methodology will enable industry practitioners of supply chain management to comprehend and act upon risk i.e. identification, assessment, response, monitoring and evaluation. Risk Management in Supply Chain is not a “one-off” transaction but rather an ongoing practice of problem solving and organizational learning i.e. a continuous methodology for sustainable improvement. The methodology provides a means to structure past problems as knowledge to be used by the organization and increase preparedness for facing new challenges. In a global competitive market, successful management of risk in supply chain can be the difference between corporate success and failure.

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