Due to the increasing occurrence of disruptive events caused by both human and also natural disasters, supply chain risk management has become an emerging research field in recent years, aiming to protect supply chains from various disruptions and deliver sustainable and long-term benefits to stakeholders across the value chain. Implementing optimum designed risk-oriented supply chain management can provide a privileged position for various businesses to extend their global reach. In addition, using a proactive supply chain risk management system, enterprises can predict their potential risk factors in their supply chains, and achieve the best early warning time, which leads to higher firms' performance. However, relatively little is known about sustainable risks in food supply chains. In order to manage the ever-growing challenges of food supply chains effectively, a deeper insight regarding the complex food systems is required. Supply chain risk management embraces broad strategies to address, identify, evaluate, monitor, and control unpredictable risks or events with direct and indirect effect, mostly negative, on food supply chain processes. To fill this gap, in this paper we have critically discussed the related supply chain risk management literature. Finally, we propose a number of significant directions for future research.
Abstract. Recently, we have witnessed son many natural catastrophies such as earthquakes in Japan, severe floods in the UK, US and many other parts of the world. In addition businesses have been losing tens of billions of dollars because there have been various natural and man-made disasters. However, the Disaster Management System (DMS) and system that have been put in place have proven important means of reducing the risk of damages to businesses, in particular. The DMS can minimize and in some cases, eliminates the risks through technical, management or operational solutions (risk management effort). However, it is virtually impossible to eliminate all risks. Information technology systems, for example, are vulnerable to a variety of disruptions (e.g. short-term power outage, disk drive failure) from a variety of sources such as natural disasters to terrorist actions. In many cases, critical resources may reside outside the organizations control (such as telecommunications or electric power), and the organization may be unable to ensure their availability. This study proposes a model for Disaster Management System as an Element of Risk Management using the PESTLE framework. Thus, an effective Disaster Management System in the form of contingency planning, execution and testing are essential to mitigate the risk of system and service availability. We have developed a global model for Disaster recover planning and management based on the PESTLE framework which can be customized and applied to a variety of disasters prone systems such natural, emergency, IT/Network/Security, Data recovery, and incident-response systems. The main aspect of this model has been currently used and evaluated.
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