433,675 research outputs found

    Risk assessment and relationship management: practical approach to supply chain risk management

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    The literature suggests the need for incorporating the risk construct into the measurement of organisational performance, although few examples are available as to how this might be undertaken in relation to supply chains. A conceptual framework for the development of performance and risk management within the supply chain is evolved from the literature and empirical evidence. The twin levels of dyadic performance/risk management and the management of a portfolio of performance/risks is addressed, employing Agency Theory to guide the analysis. The empirical evidence relates to the downstream management of dealerships by a large multinational organisation. Propositions are derived from the analysis relating to the issues and mechanisms that may be employed to effectively manage a portfolio of supply chain performance and risks

    A Question of Evidence: A Critique of Risk Assessment Models Used in the Justice System

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    This report explores the problems with the present state of risk assessment in the justice field as we at NCCD see them. The critique offered here is the result of many conversations with others in the justice community as well as a review of predictive research conducted in other fields. We recognize that much of what is presented is contrary to current understanding and acceptance, but we hope that it clarifies what evidence is required for the designation of best practice

    Resilient Critical Infrastructure Management using Service Oriented Architecture

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    Abstract—The SERSCIS project aims to support the use of interconnected systems of services in Critical Infrastructure (CI) applications. The problem of system interconnectedness is aptly demonstrated by ‘Airport Collaborative Decision Making’ (ACDM). Failure or underperformance of any of the interlinked ICT systems may compromise the ability of airports to plan their use of resources to sustain high levels of air traffic, or to provide accurate aircraft movement forecasts to the wider European air traffic management systems. The proposed solution is to introduce further SERSCIS ICT components to manage dependability and interdependency. These use semantic models of the critical infrastructure, including its ICT services, to identify faults and potential risks and to increase human awareness of them. Semantics allows information and services to be described in such a way that makes them understandable to computers. Thus when a failure (or a threat of failure) is detected, SERSCIS components can take action to manage the consequences, including changing the interdependency relationships between services. In some cases, the components will be able to take action autonomously — e.g. to manage ‘local’ issues such as the allocation of CPU time to maintain service performance, or the selection of services where there are redundant sources available. In other cases the components will alert human operators so they can take action instead. The goal of this paper is to describe a Service Oriented Architecture (SOA) that can be used to address the management of ICT components and interdependencies in critical infrastructure systems. Index Terms—resilience; QoS; SOA; critical infrastructure, SLA

    Introducing risk management into the grid

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    Service Level Agreements (SLAs) are explicit statements about all expectations and obligations in the business partnership between customers and providers. They have been introduced in Grid computing to overcome the best effort approach, making the Grid more interesting for commercial applications. However, decisions on negotiation and system management still rely on static approaches, not reflecting the risk linked with decisions. The EC-funded project "AssessGrid" aims at introducing risk assessment and management as a novel decision paradigm into Grid computing. This paper gives a general motivation for risk management and presents the envisaged architecture of a "risk-aware" Grid middleware and Grid fabric, highlighting its functionality by means of three showcase scenarios

    Australian forensic psychologists' perspectives on the merits and limits of actuarial instruments in predicting recidivism among violent offenders and sex offenders

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    Actuarial approaches are regarded as more accurate than both unstructured and structured clinical approaches in assessing risk of recidivism among sex offenders. While there has been a plethora of research on evaluating the effectiveness of actuarial instruments, there has been a paucity of research investigating their actual level of use in forensic settings. In addition, little is known about the practical difficulties associated with administering actuarial instruments. This paper reports on a survey completed by forensic psychologists in Australia about the risk assessment tools they prefer and the benefits and difficulties associated with their use. In addition, the paper explores the extent to which forensic psychologists use clinical information to adjust the level of risk identified through the actuarial approach. The findings are discussed in light of the utility of particular approaches to assessing risk of recidivism among violent offenders and sex offenders

    Negotiation and Decision Making to Develop a Public-Private-Partnership: A Case-Based Approach

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    Decision making in practice varies from theoretical models and processes. Unpredictable and ill-structured operating conditions require dynamic resolution approaches underpinned by effective negotiation and decision making strategies to support collaborative work and partnerships. This short paper evaluates negotiation strategies and decision making approaches adopted to reach agreement for a unique Public-Private-Partnership. It examines how decision criteria were formulated and decision rules generated through negotiation process executions, and uncertainties addressed by adopting multi-criteria and evidential reasoning approach. Findings are presented to help improve business performance in future PPPs by making effective decisions based on experience gained through past process execution
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