Public Sector Leadership in Assessing and Addressing Riskexplores risk management in practice, focusing on the identification of risks in the European public sector while contextualising its ...Eurocentric analysis within a global setting; it lays the groundwork for understanding the main philosophical premises of risk management.
Insurance and Risk Management for Disruptions in Social, Economic and Environmental Systemsis a collection of 13 chapters and studies about Insurance and Risk management in response to disruptions ...caused by social, economic, and environmental challenges to try and stabilize the economy in an effort to ensure sustainability.
New Challenges for Future Sustainability and Wellbeingis a collection of studies about sustainability and related challenges, such as income, wealth, the environment, education and regional equality ...that influence the pace of economic development and affects the well-being of people and organisations all over the world.
Should we fear financial derivatives, or embrace them? Finance experts Simon Grima and Eleftherios I. Thalassinos explore what financial derivatives are, and whether the investment world should ...consider them useful tools, or a complete waste of time and money.
Despite ample technological advancements, the building industry is still seen as an unsustainable activity. To counteract this, building development is now being requested to be more sustainable. Due ...to the increasing complexity of sustainable projects’ criteria, the project manager’s role, tasked with the overall management of a building’s different development phases, is changing, becoming increasingly crucial for the attainment of pre-established sustainability goals. Based on this premise, the research presented in this paper is a pilot study set to preliminarily establish and identify a set of project management processes and supporting practices from existing literature, and gauge their significance and possible added value provided. This was done via a purposely designed questionnaire distributed locally, in Malta, and globally amongst established project managers. Notwithstanding the preliminary nature of the study some interesting results were obtained. Among the main outcomes of the study, it is observed how all respondents are very aware about sustainability issues and that their decision-making role places them in an optimum position to bring forward a sustainability agenda for a particular project. In terms of intervention, pre-construction (43%) and construction (28%) were considered to be the main stages were a project manager usually gives the highest input. However, various challenges were also highlighted by the respondents, including clients’ refusal to commit increased capital (34%), the requirement for further training (33%), and the lack of incentives aimed towards increasing the sustainability of projects (22%).
In evolving crises, managing teams often have little information and fewer resources. This book proposes a model for more effective decision making early in the evolution of a crisis, before disaster ...response plans are activated.
The purpose of this study is to develop a Pandemic Risk Exposure Measurement (PREM) model to determine the factors that affect a country's prospective vulnerability to a pandemic risk exposure also ...considering the current COVID-19 pandemic.
To develop the model, drew up an inventory of possible factor variables that might expose a country's vulnerability to a pandemic such as COVID-19. This model was based on the analysis of existing literature and consultations with some experts and associations. To support the inventory of selected possible factor variables, we have conducted a survey with participants sampled from people working in a risk management environment carrying out a risk management function. The data were subjected to statistical analysis, specifically exploratory factor analysis and Cronbach Alpha to determine and group these factor variables and determine their reliability, respectively. This enabled the development of the PREM model. To eliminate possible bias, hierarchical regression analysis was carried out to examine the effect of the "Level of Experienced Hazard of the Participant (LEH)" considering also the "Level of Expertise and Knowledge about Risk and Risk Management (LEK)".
Exploratory factor analysis loaded best on four factors from 19 variables: Demographic Features, Country's Activity Features, Economic Exposure and Societal Vulnerability (i.e. the PREM Model). This model explains 65.5% of the variance in the level of experienced hazard (LEH). Additionally, we determined that LEK explains only about 2% of the variance in LEH.
The developed PREM model shows that monitoring of Demographic Features, Country's Activity Features, Economic Exposure and Societal Vulnerability can help a country to identify the possible impact of pandemic risk exposure and develop policies, strategies, regulations, etc., to help a country strengthen its capacity to meet the economic, social and in turn healthcare demands due to pandemic hazards such as COVID-19.
Muography (or muon radiography) is a technique that exploits the penetration capability of muons, elementary particles similar to electrons but with a mass about 200 times larger. High energy muons ...are naturally produced in the interactions of cosmic rays with the Earth atmosphere. The measurement of their absorption in matter allows the imaging of the inner structure of large bodies. The technological developments in the detection of elementary particles have opened the way to its application in various fields, such as archaeology, studies of geological structures, civil engineering and security issues. We have developed a new approach to the three-dimensional muography of underground structures, capable of directly localising hidden cavities and of reconstructing their shape in space. Our measurements at Mt. Echia, the site of the earliest settlement of the city of Naples in the 8th century BC, have led us to the discovery of a hidden underground cavity, whose existence was not evident with the usual two-dimensional muography graphs. We demonstrate here that our original approach definitely enhances muography discovery potential, especially in case of complex underground systems.
The purpose of this study is to explore ways to integrate student self-development into preparation for a post-graduate internship. The research problem to be investigated is the identified gap in ...support services for student wellbeing and self-esteem alongside academic development prior to entering the professional sphere. The Faculty for the Built Environment within the University of Malta conducted this as a pilot study in collaboration with the Counselling Services Unit to support students in finding ways to improve their work/study balance. The methodology used was an appreciative inquiry through workshops and focus groups over two academic years. The main findings suggest that students requested time management and resilience techniques to strengthen their study–work–life balance and develop an improved work ethic once university life is complete. Students who felt valued throughout the study period appreciated their ideas and self-identity more than others. Results were presented to the faculty staff who suggested an action–response approach to transition management. Conclusions indicated that the strength of the approach undertaken served to manage students’ transition from academic life to career entry, conduct a gap analysis to identify issues between students and staff, and facilitate a discussion of values and ethics in preparation for post-graduation career performance.
Near-Earth solar-wind conditions, including disturbances generated by coronal mass ejections (CMEs), are routinely forecast using three-dimensional, numerical magnetohydrodynamic (MHD) models of the ...heliosphere. The resulting forecast errors are largely the result of uncertainty in the near-Sun boundary conditions, rather than heliospheric model physics or numerics. Thus ensembles of heliospheric model runs with perturbed initial conditions are used to estimate forecast uncertainty. MHD heliospheric models are relatively cheap in computational terms, requiring tens of minutes to an hour to simulate CME propagation from the Sun to Earth. Thus such ensembles can be run operationally. However, ensemble size is typically limited to
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members, which may be inadequate to sample the relevant high-dimensional parameter space. Here, we describe a simplified solar-wind model that can estimate CME arrival time in approximately 0.01 seconds on a modest desktop computer and thus enables significantly larger ensembles. It is a one-dimensional, incompressible, hydrodynamic model, which has previously been used for the steady-state solar wind, but it is here used in time-dependent form. This approach is shown to adequately emulate the MHD solutions to the same boundary conditions for both steady-state solar wind and CME-like disturbances. We suggest it could serve as a “surrogate” model for the full three-dimensional MHD models. For example, ensembles of
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members can be used to identify regions of parameter space for more detailed investigation by the MHD models. Similarly, the simplicity of the model means it can be rewritten as an adjoint model, enabling variational data assimilation with MHD models without the need to alter their code. The model code is available as an Open Source download in the Python language.
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