999 resultados para Moot Case


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In common with other professions social workers have the power to articulate certain ‘‘truths’’ about the people who use their services (Hare Mustin, 1994). These knowledge statements about people, often situated in case files may become the only background information of the lived experience for people with disability (Gillman, Swain, & Heyman, 1997). Social workers need to develop interviewing, assessment and recording practices that give precedent to the worldview of service users, if they are to truly understand and respond effectively to people's lives (Bigby, 2007). One such way of doing this is by adopting a life story approach to working with vulnerable people, which can provide a holistic stance to a person's social reality (Ortiz, 1985). This article outlines the use of this approach in research with Queensland ex-prisoners who were labelled as having an intellectual disability. By explaining the process used by the first author (hereafter known as the researcher), the methodological findings of this study illustrate how life story work can contribute to social work practice.

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The centrality of knowledge sharing to organisations' sustainability has been established. This case study illustrates the influences on individual knowledge sharing decision-making and behaviour among professionals and paraprofessionals - specifically civil engineers and design drafters - in a large public sector organisation that provides transportation infrastructure. The case examines the ways in which overlapping sets of values and behavioural drivers affect knowledge sharing orientation and practices in a collective of experts and novices working in an environment that is largely project-based. The alignment among sector, profession and organisation values provides a supportive environment for knowledge sharing, however individual behaviour is found to be most strongly influenced by the presence and quality of relational capital.

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The increased interest in the area of process improvement persuaded Rabobank Group ICT in examining its own Change-process in order to improve its competitiveness. The group is looking for answers about the effectiveness of changes applied as part of this process, with particular interest toward the presence of predictive patterns and their parameters. We conducted an analysis of the log using well established process mining techniques (i.e. Fuzzy Miner). The results of the analysis conducted on the log of the process show that a visible impact is missing.

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The mining industry faces concurrent pressures of reducing water use, energy consumption and greenhouse gas (GHG) emissions in coming years. However, the interactions between water and energy use, as well as GHG e missions have largely been neglected in modelling studies to date. In addition, investigations tend to focus on the unit operation scale, with little consideration of whole-of-site or regional scale effects. This paper presents an application of a hierarchical systems model (HSM) developed to represent water, energy and GHG emissions fluxes at scales ranging from the unit operation, to the site level, to the regional level. The model allows for the linkages between water use, energy use and GHG emissions to be examined in a fl exible and intuitive way, so that mine sites can predict energy and emissions impacts of water use reduction schemes and vice versa. This paper examines whether this approach can also be applied to the regional scale with multiple mine sites. The model is used to conduct a case study of several coal mines in the Bowen Basin, Australia, to compare the utility of centralised and decentralised mine water treatment schemes. The case study takes into account geographical factors (such as water pumping distances and elevations), economic factors (such as capital and operating cost curves for desalination treatment plants) and regional factors (such as regionally varying climates and associated variance in mine water volumes and quality). The case study results indicate that treatment of saline mine water incurs a trade-off between water and energy use in all cases. However, significant cost differences between centralised and decentralised schemes can be observed in a simple economic analysis. Further research will examine the possibility for deriving model up-scaling algorithms to reduce computational requirements.

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Background Detection of outbreaks is an important part of disease surveillance. Although many algorithms have been designed for detecting outbreaks, few have been specifically assessed against diseases that have distinct seasonal incidence patterns, such as those caused by vector-borne pathogens. Methods We applied five previously reported outbreak detection algorithms to Ross River virus (RRV) disease data (1991-2007) for the four local government areas (LGAs) of Brisbane, Emerald, Redland and Townsville in Queensland, Australia. The methods used were the Early Aberration Reporting System (EARS) C1, C2 and C3 methods, negative binomial cusum (NBC), historical limits method (HLM), Poisson outbreak detection (POD) method and the purely temporal SaTScan analysis. Seasonally-adjusted variants of the NBC and SaTScan methods were developed. Some of the algorithms were applied using a range of parameter values, resulting in 17 variants of the five algorithms. Results The 9,188 RRV disease notifications that occurred in the four selected regions over the study period showed marked seasonality, which adversely affected the performance of some of the outbreak detection algorithms. Most of the methods examined were able to detect the same major events. The exception was the seasonally-adjusted NBC methods that detected an excess of short signals. The NBC, POD and temporal SaTScan algorithms were the only methods that consistently had high true positive rates and low false positive and false negative rates across the four study areas. The timeliness of outbreak signals generated by each method was also compared but there was no consistency across outbreaks and LGAs. Conclusions This study has highlighted several issues associated with applying outbreak detection algorithms to seasonal disease data. In lieu of a true gold standard, a quantitative comparison is difficult and caution should be taken when interpreting the true positives, false positives, sensitivity and specificity.

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A recent decision of the Queensland Supreme Court highlights that merely having a policy in a workplace is not sufficient in itself – the policy must be implemented and followed if an employer wishes to establish that it is not in breach of its duty of care owed to employees. In Keegan v Sussan Corporation (Aust) Pty Ltd an employee successfully sued in negligence for her psychiatric injury caused by her employer’s failure to follow its bullying and harassment policy.

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As part of YANQ's decentralisation across the state, YANQ have set up 10 Networks across Queensland, with Facilitators based in each of the regions. We encourage you to get in contact with your local Facilitator if you would like to have input on Workforce Development or youth policy issues. CPLANs aim to create an ongoing and sustainable structure across ten regions in Queensland to support a consistent focus on: ⋅ Policy issues relevant to young people; and ⋅ Workforce development strategies for the youth sector from a local, regional and state perspective. The ten CPLANs fall under the existing structure of YANQ and utlise and lever off the comprehensive network of youth inter-­‐agencies and networks across the state. The ten CPLANs are made up of representatives from the youth sector in each region who have an interest in contributing to policy development and workforce issues.

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This editorial considers the issue of posthumous conception as discussed in the case of Re H, AE (No 3) [2013] SASC 196, which involved an application by a South Australian woman to the Supreme Court for authorisation to export her deceased partner's sperm to the Australian Capital Territory, for use in an assisted reproductive technology procedure.

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Since the inception of the UN Convention on Biological Diversity (CBD) in 1992, little progress has been achieved in terms of involving the business community in protecting biological diversity worldwide. This article assesses the current activities of US Fortune 500 companies with respect to global biodiversity protection and the goals of the CBD. Data and information collected from 500 companies within eight major industrial sectors were further categorized at the company level to assess each company's involvement in global biodiversity protection. Our findings show that although companies' business profiles highly influence their decision-making process regarding the adoption of biodiversity protection policies and measures, their revenue profiles are less influential. We show that despite generating low revenues, companies in the utility sector are more active in the adoption of biodiversity protection policy than those in the financial sector, which generate high revenues. This study also demonstrates that companies must be convinced of the major effects of biodiversity loss on their bottom lines to be motivated to protect biological diversity. Companies' business and business-related risk profiles can also influence the adoption of biodiversity protection policies within the company. The study further demonstrates that a measurable biodiversity impact indicator is necessary for the companies to get seriously involved in the mitigation action. Finally, this study proposes a three-step biodiversity loss mitigation action framework that is drawn upon the assessment of the 500 companies that can contribute to develop an elaborative framework of business sector-specific mitigation plan. © 2013 Copyright Taylor and Francis Group, LLC.

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Purpose The purpose of this paper is to examine the management of maternity leave in small firms and particularly to explore the perceived costs and benefits of paid maternity leave (PML). PML is a universal right in some countries (i.e. the UK), but not in Australia where most private sector female employees only have access to 12 months unpaid maternity leave. It also aims to explore how the business case for (or against) PML is constructed in small firms. Design/methodology/approach The study was limited to smaller firms operating in the business services sector in the same regional area. Semi‐structured interviews were conducted with eight employers and female employees in six of these firms. Analysis by theme was undertaken within and across interview transcripts. Findings Not one of these small firm employers offered PML and the cost of doing so was not considered to outweigh the benefits already realised through the (legislated) unpaid maternity leave scheme. In these firms maternity leave was managed in an informal way with notions of flexibility – give and take – characterising what happens. Originality/value The paper addresses the lack of research on access to family‐related leave policies in small firms. Employer and employee views of the issue are drawn upon, the latter not often being heard. The paper contributes to understanding the construction of the business case for a specific issue in smaller firms and human resource management from a resource‐based view more generally in smaller firms.

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Purpose - The purpose of this paper is to investigate the use of an informal online discussion forum (ODF) to encourage voluntary participation and promote double-loop learning by small business owners (SBOs). Design/methodology/approach - A qualitative methodology was used where data gathered from three sources, the ODF posts, in-depth interviews with participants and a focus group with non-participants. These were analysed to evaluate learning of SBOs in an ODF. Findings - This research provides evidence that an ODF for SBOs supports double-loop learning; however, participation could not be assumed simply by the online availability of the discussion resource. Research limitations/implications - Few SBOs participated in the ODF which is consistent with research finding SBOs are a difficult group to engage in learning. Four forms of data were analysed to strengthen results. Practical implications - Caution should be exercised when considering investment in e-learning for SBOs. Originality/value - Evidence showing e-learning through an informal voluntary ODF can promote deep learning for SBOs.

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We propose a productivity index for undesirable outputs such as carbon dioxide (CO2) and sulfur dioxide (SO2) emissions and measure it using data from 51 developed and developing countries over the period 1971-2000. About half of the countries exhibit the productivity growth. The changes in the productivity index are linked with their respective per capita income using a semi-parametric model. Our results show technological catch up of low-income countries. However, overall productivities both of SO2 and CO2 show somewhat different results.

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This paper studies mechanisms to compensate local government for the public provision of environmental services using the theory of optimal fiscal transfers in India. Especially, we analyzed the role of intergovernmental fiscal transfers in achieving the environmental goal. Simply assigning the functions at appropriate levels does not ensure optimal provision of environmental services. Optimality in resource allocation could be achieved by combining the assignment system with an appropriate compensation mechanism. Intergovernmental fiscal transfers would be a suitable mechanism for compensating the local governments and help in internalizing the spillover effects of providing environmental public goods. Illustrations are also provided for India.

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Identifying railway capacity is an important task that can identify "in principal" whether the network can handle an intended traffic flow, and whether there is any free capacity left for additional train services. Capacity determination techniques can also be used to identify how best to improve an existing network, and at least cost. In this article an optimization approach has been applied to a case study of the Iran national railway, in order to identify its current capacity and to optimally expand it given a variety of technical conditions. This railway is very important in Iran and will be upgraded extensively in the coming years. Hence the conclusions in this article may help in that endeavor. A sensitivity analysis is recommended to evaluate a wider range of possible scenarios. Hence more useful lower and upper bounds can be provided for the performance of the system

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Basic mathematical skills are critical to a student’s ability to successfully undertake an introductory statistics course. Yet in business education this vitally important area of mathematics and statistics education is under-researched. The question therefore arises as to what level of mathematical skill a typical business studies student will possess as they enter the tertiary environment, and whether there are any common deficiencies that we can identify with a view to tackling the problem. This paper will focus on a study designed to measure the level of mathematical ability of first year business students. The results provide timely insight into a growing problem faced by many tertiary educators in this field.