58 resultados para net present value


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Recent literature in project management has urged a re-conceptualisation of projects as a value co-creation process. Contrary to the traditional output-focused project methodology, the value creation perspective argues for the importance of creating new knowledge, processes, and systems for suppliers and customers. Stakeholder involvement is important in this new perspective, as the balancing of competing needs of stakeholders in mega projects becomes a major challenge in managing the value co-creation process. In this study we present interview data from three Australian defence mega projects to demonstrate that senior executives have a more complex understanding of project success than traditional iron triangle measures. In these mega defence projects, customers and other stakeholders actively engage in the value creation process, and over time both content and process value are created to increase defence and national capability. Value created and captured during and post projects are the key to true success.

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Whether to keep products segregated (e.g., unbundled) or integrate some or all of them (e.g., bundle) has been a problem of profound interest in areas such as portfolio theory in finance, risk capital allocations in insurance and marketing of consumer products. Such decisions are inherently complex and depend on factors such as the underlying product values and consumer preferences, the latter being frequently described using value functions, also known as utility functions in economics. In this paper, we develop decision rules for multiple products, which we generally call ‘exposure units’ to naturally cover manifold scenarios spanning well beyond ‘products’. Our findings show, e.g. that the celebrated Thaler's principles of mental accounting hold as originally postulated when the values of all exposure units are positive (i.e. all are gains) or all negative (i.e. all are losses). In the case of exposure units with mixed-sign values, decision rules are much more complex and rely on cataloging the Bell number of cases that grow very fast depending on the number of exposure units. Consequently, in the present paper, we provide detailed rules for the integration and segregation decisions in the case up to three exposure units, and partial rules for the arbitrary number of units.

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How can we reach out to institutions, artists and audiences with sometimes radically different agendas to encourage them to see, participate in and support the development of new practices and programs in the performing arts? In this paper, based on a plenary panel at PSi#18 Performance Culture Industry at the University of Leeds, Clarissa Ruiz (Columbia), AnuradhaKapur (India) and Sheena Wrigley (England) together with interloctorBree Hadley (Australia) speak about their work in as policy-makers, managers and producers in the performing arts in Europe, Asia and America over the past several decades. Acknowledged trailblazers in their fields, Ruiz, Kapur and Wrigley all have a commitment to creating a vital, viable and sustainable performing arts ecologies. Each has extensive experience in performance, politics, and the challenging process of managing histories, visions, stakeholders, and sometimes scarce resources to generate lasting benefits for the various communities have worked for, with and within. Their work, cultivating new initiatives, programs or policy has made them expert at brokering relationships in and in between private, public and political spheres to elevate the status of and support for performing arts as a socially and economically beneficial activity everyone can participate in. Each gives examples from their own practice to provide insight into how to negotiate the interests of artistic, government, corporate, community and education partners, and the interests of audiences, to create aesthetic, cultural and / or economic value. Together, their views offer a compelling set of perspectives on the changing meanings of the ‘value of the arts’ and the effects this has had for the artists that make and arts organisations that produce and present work in a range of different regional, national and cross-national contexts.

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Tumour angiogenesis is an important factor for tumour growth and metastasis. Although some recent reports suggest that microvessel counts in non-small cell lung cancer are related to a poor disease outcome, the results were not conclusive and were not compared with other molecular prognostic markers. In the present study, the vascular grade was assessed in 107 (T1,2-N0,1) operable non-small cell lung carcinomas, using the JC70 monoclonal antibody to CD31. Three vascular grades were defined with appraisal by eye and by Chalkley counting: high (Chalkley score 7-12), medium (5-6), and low (2-4). There was a significant correlation between eye appraisal and Chalkley counting (P < 0.0001). Vascular grade was not related to histology, grade, proliferation index (Ki67), or EGFR or p53 expression. Tumours from younger patients had a higher grade of angiogenesis (P = 0.05). Apart from the vascular grade, none of the other factors examined was statistically related to lymph node metastasis (P < 0.0001). A univariate analysis of survival showed that vascular grade was the most significant prognostic factor (P = 0.0004), followed by N-stage (P = 0.001). In a multivariate analysis, N-stage and vascular grade were not found to be independent prognostic factors, since they were strongly related to each other. Excluding N-stage, vascular grade was the only independent prognostic factor (P = 0.007). Kaplan-Meier survival curves showed a statistically significant worse prognosis for patients with high vascular grade, but no difference was observed between low and medium vascular grade. These data suggest that angiogenesis in operable non-small cell lung cancer is a major prognostic factor for survival and, among the parameters tested, is the only factor related to cancer cell migration to lymph nodes. The integration of vascular grading in clinical trials on adjuvant chemotherapy and/or radiotherapy could substantially contribute in defining groups of operable patients who might benefit from cytotoxic treatment.

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In recent years, the imperative to communicate organisational impacts to a variety of stakeholders has gained increasing importance within all sectors. Despite growing external demands for evaluation and social impact measurement, there has been limited critically informed analysis about the presumed importance of these activities to organisational success and the practical challenges faced by organisations in undertaking such assessment. In this paper, we present the findings from an action research study of five Australian small to medium social enterprises’ practices and use of evaluation and social impact analysis. Our findings have implications for social enterprise operators, policy makers and social investors regarding when, why and at what level these activities contribute to organisational performance and the fulfilment of mission.

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The occurrence of extreme water levels along low-lying, highly populated and/or developed coastlines can lead to considerable loss of life and billions of dollars of damage to coastal infrastructure. Therefore it is vitally important that the exceedance probabilities of extreme water levels are accurately evaluated to inform risk-based flood management, engineering and future land-use planning. This ensures the risk of catastrophic structural failures due to under-design or expensive wastes due to over-design are minimised. This paper estimates for the first time present day extreme water level exceedence probabilities around the whole coastline of Australia. A high-resolution depth averaged hydrodynamic model has been configured for the Australian continental shelf region and has been forced with tidal levels from a global tidal model and meteorological fields from a global reanalysis to generate a 61-year hindcast of water levels. Output from this model has been successfully validated against measurements from 30 tide gauge sites. At each numeric coastal grid point, extreme value distributions have been fitted to the derived time series of annual maxima and the several largest water levels each year to estimate exceedence probabilities. This provides a reliable estimate of water level probabilities around southern Australia; a region mainly impacted by extra-tropical cyclones. However, as the meteorological forcing used only weakly includes the effects of tropical cyclones, extreme water level probabilities are underestimated around the western, northern and north-eastern Australian coastline. In a companion paper we build on the work presented here and more accurately include tropical cyclone-induced surges in the estimation of extreme water level. The multi-decadal hindcast generated here has been used primarily to estimate extreme water level exceedance probabilities but could be used more widely in the future for a variety of other research and practical applications.

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The occurrence of extreme water level events along low-lying, highly populated and/or developed coastlines can lead to devastating impacts on coastal infrastructure. Therefore it is very important that the probabilities of extreme water levels are accurately evaluated to inform flood and coastal management and for future planning. The aim of this study was to provide estimates of present day extreme total water level exceedance probabilities around the whole coastline of Australia, arising from combinations of mean sea level, astronomical tide and storm surges generated by both extra-tropical and tropical storms, but exclusive of surface gravity waves. The study has been undertaken in two main stages. In the first stage, a high-resolution (~10 km along the coast) hydrodynamic depth averaged model has been configured for the whole coastline of Australia using the Danish Hydraulics Institute’s Mike21 modelling suite of tools. The model has been forced with astronomical tidal levels, derived from the TPX07.2 global tidal model, and meteorological fields, from the US National Center for Environmental Prediction’s global reanalysis, to generate a 61-year (1949 to 2009) hindcast of water levels. This model output has been validated against measurements from 30 tide gauge sites around Australia with long records. At each of the model grid points located around the coast, time series of annual maxima and the several highest water levels for each year were derived from the multi-decadal water level hindcast and have been fitted to extreme value distributions to estimate exceedance probabilities. Stage 1 provided a reliable estimate of the present day total water level exceedance probabilities around southern Australia, which is mainly impacted by extra-tropical storms. However, as the meteorological fields used to force the hydrodynamic model only weakly include the effects of tropical cyclones the resultant water levels exceedance probabilities were underestimated around western, northern and north-eastern Australia at higher return periods. Even if the resolution of the meteorological forcing was adequate to represent tropical cyclone-induced surges, multi-decadal periods yielded insufficient instances of tropical cyclones to enable the use of traditional extreme value extrapolation techniques. Therefore, in the second stage of the study, a statistical model of tropical cyclone tracks and central pressures was developed using histroic observations. This model was then used to generate synthetic events that represented 10,000 years of cyclone activity for the Australia region, with characteristics based on the observed tropical cyclones over the last ~40 years. Wind and pressure fields, derived from these synthetic events using analytical profile models, were used to drive the hydrodynamic model to predict the associated storm surge response. A random time period was chosen, during the tropical cyclone season, and astronomical tidal forcing for this period was included to account for non-linear interactions between the tidal and surge components. For each model grid point around the coast, annual maximum total levels for these synthetic events were calculated and these were used to estimate exceedance probabilities. The exceedance probabilities from stages 1 and 2 were then combined to provide a single estimate of present day extreme water level probabilities around the whole coastline of Australia.

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The session explores the potential for “Patron Driven Acquisition” (PDA) as a model for the acquisition of online video. Today, PDA has become a standard model of acquisition in the eBook market, more effectively aligning spend with use and increased return on investment (ROI). PDA is an unexplored model for acquisition of video, for which library collection development is complicated by higher storage and delivery costs, labor overheads for content selection and acquisition, and a dynamic film industry in which media and the technology that supports it is changing daily. Queensland University of Technology (QUT) and La Trobe University in Australia launched a research project in collaboration with Kanopy to explore the opportunity for PDA of video. The study relied on three data sources: (1) national surveys to compare the video purchasing and use practices of colleges, (2) on-campus pilot projects of PDA models to assess user engagement and behavior, and (3) testing of various user applications and features to support the model. The study incorporates usage statistics and survey data and builds upon a peer-reviewed research paper presented at the VALA 2014 conference in Melbourne, Australia. This session will be conducted by the researchers and will graphically present the results from the study. It will map out a future for video PDA, and how libraries can more cost-effectively acquire and maximize the discoverability of online video. The presenters will also solicit input and welcome questions from audience members.

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The notion of being sure that you have completely eradicated an invasive species is fanciful because of imperfect detection and persistent seed banks. Eradication is commonly declared either on an ad hoc basis, on notions of seed bank longevity, or on setting arbitrary thresholds of 1% or 5% confidence that the species is not present. Rather than declaring eradication at some arbitrary level of confidence, we take an economic approach in which we stop looking when the expected costs outweigh the expected benefits. We develop theory that determines the number of years of absent surveys required to minimize the net expected cost. Given detection of a species is imperfect, the optimal stopping time is a trade-off between the cost of continued surveying and the cost of escape and damage if eradication is declared too soon. A simple rule of thumb compares well to the exact optimal solution using stochastic dynamic programming. Application of the approach to the eradication programme of Helenium amarum reveals that the actual stopping time was a precautionary one given the ranges for each parameter. © 2006 Blackwell Publishing Ltd/CNRS.

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Nowadays, demand for automated Gas metal arc welding (GMAW) is growing and consequently need for intelligent systems is increased to ensure the accuracy of the procedure. To date, welding pool geometry has been the most used factor in quality assessment of intelligent welding systems. But, it has recently been found that Mahalanobis Distance (MD) not only can be used for this purpose but also is more efficient. In the present paper, Artificial Neural Networks (ANN) has been used for prediction of MD parameter. However, advantages and disadvantages of other methods have been discussed. The Levenberg–Marquardt algorithm was found to be the most effective algorithm for GMAW process. It is known that the number of neurons plays an important role in optimal network design. In this work, using trial and error method, it has been found that 30 is the optimal number of neurons. The model has been investigated with different number of layers in Multilayer Perceptron (MLP) architecture and has been shown that for the aim of this work the optimal result is obtained when using MLP with one layer. Robustness of the system has been evaluated by adding noise into the input data and studying the effect of the noise in prediction capability of the network. The experiments for this study were conducted in an automated GMAW setup that was integrated with data acquisition system and prepared in a laboratory for welding of steel plate with 12 mm in thickness. The accuracy of the network was evaluated by Root Mean Squared (RMS) error between the measured and the estimated values. The low error value (about 0.008) reflects the good accuracy of the model. Also the comparison of the predicted results by ANN and the test data set showed very good agreement that reveals the predictive power of the model. Therefore, the ANN model offered in here for GMA welding process can be used effectively for prediction goals.

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Estimating the use of illicit drugs in the general community is an important task with ramifications for law enforcement agencies, as well as health portfolios. Australia has four ongoing drug monitoring systems, including the AIC’s DUMA program, the National Drug Strategy Household Survey, the Illicit Drug Reporting System and the Ecstasy and Related Drug Reporting System. The systems vary in methods, but broadly they are reliant upon self-report data and may be subject to selection biases. The present study employed a completely different method. By chemically analysing sewerage water, the study produced daily estimates of consumption of methamphetamine, MDMA and cocaine. Samples were collected in November 2009 and November 2010 from a municipality in Queensland, with an population of over 150,000 people. Estimates were made of the average daily dose and average daily street value per 1,000 people. On the basis of estimated dose and price, the methamphetamine market appeared considerably stronger than either MDMA or cocaine. This paper explains the strengths and weaknesses of wastewater analysis. It considers the potential value of wastewater analysis in measuring net consumption of illicit drugs and the effectiveness of law enforcement agency strategies.

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The purpose of this study is to investigate the accounting choice decisions of banks to employ Level 3 inputs in estimating the value of their financial assets and liabilities. Using a sample of 146 bank-year observations from 18 countries over 2009-2012, this study finds banks’ incentives to use Level 3 valuation inputs are associated with both firm-level and country-level determinants. At the firm-level, leverage, profitability (in term of net income), Tier 1 capital ratio, size and audit committee independence are associated with the percentage of Level 3 valuation inputs. At the country-level, economy development, legal region, legal enforcement and investor rights are also associated with the Level 3 classification choice. Lastly, ‘secrecy’, the proxy for culture dimensions and values, is found to be positively associated with the use of Level 3 valuation inputs. Altogether, these findings suggest that banks use the discretion available under Level 3 inputs opportunistically to avoid violating debt covenants limits, to increase earnings and manage their capital ratios. Results of this study also highlight that corporate governance quality at the firm-level (e.g. audit committee independence) and institutional features can constrain banks’ opportunistic behaviors in using the discretion available under Level 3 inputs. The results of this study have important implications for standard setters and contribute to the debate on the use of fair value accounting in an international context.

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The purpose of this study is to investigate the accounting choice decisions of banks to employ Level 3 inputs in estimating the value of their financial assets and liabilities. Using a sample of 146 bank-year observations from 18 countries over 2009-2012, this study finds banks’ incentives to use Level 3 valuation inputs are associated with both firm-level and country-level determinants. At the firm-level, leverage, profitability (in term of net income), Tier 1 capital ratio, size and audit committee independence are associated with the percentage of Level 3 valuation inputs. At the country-level, economy development, legal region, legal enforcement and investor rights are also associated with the Level 3 classification choice. Lastly, ‘secrecy’, the proxy for culture dimensions and values, is found to be positively associated with the use of Level 3 valuation inputs. Altogether, these findings suggest that banks use the discretion available under Level 3 inputs opportunistically to avoid violating debt covenants limits, to increase earnings and manage their capital ratios. Results of this study also highlight that corporate governance quality at the firm-level (e.g. audit committee independence) and institutional features can constrain banks’ opportunistic behaviors in using the discretion available under Level 3 inputs. The results of this study have important implications for standard setters and contribute to the debate on the use of fair value accounting in an international context.