Table 1 - uploaded by Rania Hodhod
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![Fig. 1: The Army Risk Management Process [1] Although different systems...](profile/Rania-Hodhod/publication/276344843/figure/fig1/AS:315682177732608@1452275904062/The-Army-Risk-Management-Process-1-Although-different-systems-are-in-use-for-RM-such_Q320.jpg)
A risk management process is most effective when the users are properly educated on the process and the process itself promotes a uniform perception of risk. Every soldier in the US Army is expected to be capable of managing risk— eliminating it when possible or mitigating it to an acceptable level through the principles and application a formal, m...
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... rules were developed utilizing the levels of risk described in the Army RM process, Low, Moderate, High, and Extremely High. The rules are representative of the Army Risk Assessment Matrix shown in Table 1. Each rule was calculated to reflect the risk level presented according to current Army regulations, doctrine, and policies. ...
Citations
... Sohoni et al. [22]. studied methods that help airlines to carry out a timetable when uncertain conditions occur, while Karels et al. [11]. concentrated on the risk management process under a fuzzy expert model pointing out that there is a significant difference between trained officers/soldiers and untrained ones in the level of perceived risk, which helps leaders of an army to make systematic planning to reduce the risk of their organization. ...
The aviation industry is a complicated, sensitive, and challenging phenomenon. One of the major issues in the operation of streamlined processes in this industry is the management of proper decisions during the disruption of flight schedules. Such disruptions commonly reduce customer satisfaction and the profitability of the airlines. Since there are multiple reasons for the disruption of the flight schedules along with the different possible decisions, a correct decision is very difficult to make requiring the opinions of the specialist staff. In this research, an expert model using a ``fuzzy multi-criteria decision-making" method is proposed to provide a correct decision during the disruption of the flight schedules. The results show that the most important factors that make disruption of flight schedules are arrival delays and technical failure of the airline fleet. Besides, the most important possible decisions are the announcement of the delay and canceling of the flight. Thanks to utilizing the fuzzy analytical network process, the outcomes of the proposed expert model are in good alignment with the opinions of the specialist staff. The fuzzy analytical network process determines the values of 0.5124 and 0.2621 for the magnitude of the arrival delay and technical defect respectively. This method also determines the values of 0.7042 and 0.2076 for flight delay and flight canceling as the two most important possible decisions.
As stated in the Defence White Paper, Malaysia has planned to construct Malaysian Armed Forces (MAF) of the future, which will have five key thrusts: jointness, interoperability, technology driven, ability to operate in two theatres simultaneously, and mission oriented. It literally refers to Malaysia's status as a maritime nation and the government's dedication to the three pillars of the country's defence strategy: concentric deterrence, comprehensive defence, and credible cooperation. In addition, the report emphasised the importance of focusing on non-traditional security challenges such as terrorism, piracy, and marine security, as well as applying Industrial Revolution 4.0 (IR 4.0) technology to strengthen defence. The current state of digital transformation in the post-COVID-19 period has a significant impact on achieving the MAF's vision that has been outlined in the Defence White Paper. MAF's management should be in sync with the organization's strategic goals. To guarantee that the vision is realised, potential risks should be recognised, mitigated, reduced and/or eliminated. Integrated enterprise risk management (IERM) is a critical component of organisation‘s success, by assuring force preparedness in the face of any threats and challenges. This paper offers a possible IERM Business Model, using Business Model Canvas (BMC) framework, for MAF to consider, deliberate and adapt. The proposed MAF IERM business model is compliant with MS ISO 31000:2018 and ISO 27000 Information Security Management System (ISMS) in risk assessment, and as part of the digital transformation effort.
