866 resultados para Strategic allocation
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This research aims to understand what factors influence consumers' behaviour to subculture marketing and how companies can strategically overcome potential brand alienation. Findings validate cryptic marketing as a strategy for organizations to communicate effectively with their chosen market through the use of cryptic cues, symbols and messages while circumventing negative responses from non-target audiences. The thesis contributes to extending current understanding of marketing communication through the use of covert strategies, employing covert tactics on the non-target, wider market instead of the target, subculture market.
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With the increasing availability of high quality digital cameras that are easily operated by the non-professional photographer, the utility of using digital images to assess endpoints in clinical research of skin lesions has growing acceptance. However, rigorous protocols and description of experiences for digital image collection and assessment are not readily available, particularly for research conducted in remote settings. We describe the development and evaluation of a protocol for digital image collection by the non-professional photographer in a remote setting research trial, together with a novel methodology for assessment of clinical outcomes by an expert panel blinded to treatment allocation.
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The importance of firms’ adaptation processes is prominent in today’s business environment which is characterised by ever changing customers, technologies, and competition. Ever since Schumpeter’s (1942) classic work strategic renewal has been found crucial for firms’ adaptation to environmental change. The role of strategic renewal in firms’ adaptation processes includes development of capabilities for the purpose of sustainability of competitive advantage against environmental changes.
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Strategic Renewal has been the subject of research in large organisations but has received relatively little attention in small and medium enterprises. Using case study examples of small and medium manufacturing firms, this paper presents the findings from a longitudinal action research project where participating companies explored design led innovation processes to find new ways to renew their businesses. Specifically our findings indicate that when designers act as innovation catalysts in embedded longitudinal action research, SMEs engage in strategic renewal, gain a deeper appreciation of their customers, become more aware of the value proposition of the company and engage in new practices to improve their competitive advantage.
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Local spatio-temporal features with a Bag-of-visual words model is a popular approach used in human action recognition. Bag-of-features methods suffer from several challenges such as extracting appropriate appearance and motion features from videos, converting extracted features appropriate for classification and designing a suitable classification framework. In this paper we address the problem of efficiently representing the extracted features for classification to improve the overall performance. We introduce two generative supervised topic models, maximum entropy discrimination LDA (MedLDA) and class- specific simplex LDA (css-LDA), to encode the raw features suitable for discriminative SVM based classification. Unsupervised LDA models disconnect topic discovery from the classification task, hence yield poor results compared to the baseline Bag-of-words framework. On the other hand supervised LDA techniques learn the topic structure by considering the class labels and improve the recognition accuracy significantly. MedLDA maximizes likelihood and within class margins using max-margin techniques and yields a sparse highly discriminative topic structure; while in css-LDA separate class specific topics are learned instead of common set of topics across the entire dataset. In our representation first topics are learned and then each video is represented as a topic proportion vector, i.e. it can be comparable to a histogram of topics. Finally SVM classification is done on the learned topic proportion vector. We demonstrate the efficiency of the above two representation techniques through the experiments carried out in two popular datasets. Experimental results demonstrate significantly improved performance compared to the baseline Bag-of-features framework which uses kmeans to construct histogram of words from the feature vectors.
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Money is often a limiting factor in conservation, and attempting to conserve endangered species can be costly. Consequently, a framework for optimizing fiscally constrained conservation decisions for a single species is needed. In this paper we find the optimal budget allocation among isolated subpopulations of a threatened species to minimize local extinction probability. We solve the problem using stochastic dynamic programming, derive a useful and simple alternative guideline for allocating funds, and test its performance using forward simulation. The model considers subpopulations that persist in habitat patches of differing quality, which in our model is reflected in different relationships between money invested and extinction risk. We discover that, in most cases, subpopulations that are less efficient to manage should receive more money than those that are more efficient to manage, due to higher investment needed to reduce extinction risk. Our simple investment guideline performs almost as well as the exact optimal strategy. We illustrate our approach with a case study of the management of the Sumatran tiger, Panthera tigris sumatrae, in Kerinci Seblat National Park (KSNP), Indonesia. We find that different budgets should be allocated to the separate tiger subpopulations in KSNP. The subpopulation that is not at risk of extinction does not require any management investment. Based on the combination of risks of extinction and habitat quality, the optimal allocation for these particular tiger subpopulations is an unusual case: subpopulations that occur in higher-quality habitat (more efficient to manage) should receive more funds than the remaining subpopulation that is in lower-quality habitat. Because the yearly budget allocated to the KSNP for tiger conservation is small, to guarantee the persistence of all the subpopulations that are currently under threat we need to prioritize those that are easier to save. When allocating resources among subpopulations of a threatened species, the combined effects of differences in habitat quality, cost of action, and current subpopulation probability of extinction need to be integrated. We provide a useful guideline for allocating resources among isolated subpopulations of any threatened species. © 2010 by the Ecological Society of America.
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It is becoming increasingly popular to consider species interactions when managing ecological foodwebs. Such an approach is useful in determining how management can affect multiple species, with either beneficial or detrimental consequences. Identifying such actions is particularly valuable in the context of conservation decision making as funding is severely limited. This paper outlines a new approach that simplifies the resource allocation problem in a two species system for a range of species interactions: independent, mutualism, predator-prey, and competitive exclusion. We assume that both species are endangered and we do not account for decisions over time. We find that optimal funding allocation is to the conservation of the species with the highest marginal gain in expected probability of survival and that, across all except mutualist interaction types, optimal conservation funding allocation differs between species. Loss in efficiency from ignoring species interactions was most severe in predator-prey systems. The funding problem we address, where an ecosystem includes multiple threatened species, will only become more commonplace as increasing numbers of species worldwide become threatened. © 2011 Elsevier B.V.
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The importance of modelling correlation has long been recognised in the field of portfolio management, with largedimensional multivariate problems increasingly becoming the focus of research. This paper provides a straightforward and commonsense approach toward investigating a number of models used to generate forecasts of the correlation matrix for large-dimensional problems.We find evidence in favour of assuming equicorrelation across various portfolio sizes, particularly during times of crisis. During periods of market calm, however, the suitability of the constant conditional correlation model cannot be discounted, especially for large portfolios. A portfolio allocation problem is used to compare forecasting methods. The global minimum variance portfolio and Model Confidence Set are used to compare methods, while portfolio weight stability and relative economic value are also considered.
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Workplace stress has been an increasing concern in the construction industry. Workers are working longer hours and construction managers’ responsibilities are becoming more complex and complicated due to reduced resources and widespread stakeholder involvements. These additional pressures potentially trigger workplace stress and impact on project performance. The purpose of this study is to examine and advance understanding of stress and its impact relationships that support holistic and strategic stress management. 17 key stress sources are identified with their impact relationships on different stress types examined. Based on the research findings, this paper concludes with a Stressor-Stress-Performance relationships map.
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These are turbulent times for audio- visual production companies. Radical changes, both inside and outside the organizations, reach across national markets and different genres. For instance, production methods are changing; the demand from audiences and advertisers is changing; power relations between the actors involved in the value chain are changing; and increasing concentration makes the market even more competitive for small independent players. From a perspective of the structure–conduct– performance paradigm (Ramstad, 1997) it is reasonable to expect that these changes on a structural level of the industry will cause the production companies to adapt their strategic behaviour. The current challenges for media companies are a combination of rising complexity and uncertainty in the market (Picard, 2004). The increasing complexity can for instance be observed in the growing number of market segments and in the continuing trend towards cross- media strategies where media companies operate in multiple markets and on multiple platforms...
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Public submission # 247 to the McKeon Review. The submission addresses the terms of reference on: How can we optimise translation of health and medical research into better health and wellbeing? (Terms of Reference 4, 8, 9, 10 and 11)
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This paper investigates increases in the identification of special educational needs in the New South Wales (NSW) government school system over the last two decades, which are then discussed with senior public servants working within the NSW Department of Education and Communities (DEC). Participant narratives indicate deep structural barriers to inclusion that are perpetuated by the discourses and practices of regular and special education. Despite policies that speak of ‘working together’ for ‘every student’ and ‘every school’, students who experience difficulty in schools and with learning often remain peripheral to the main game, even though their number is said to be increasing. There is, however, some positive progress being made. Findings suggest that key policy figures within the NSW DEC are keenly aware of the barriers and have adopted alternative strategies to drive inclusion via a new discourse of ‘participation’ which is underpinned by the linking of student assessment and the resourcing of schools.
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Recent calls in Australia have addressed the need for better integration of planning processes. The consequent effort made by government has been, and still is, reshaping the way urban and regional planning and sustainability are managed. Focusing on planning practices at the local and regional levels, we investigate how environmental sustainability is pursued from an institutional perspective. Specifically, we analyse the way that planning in Australian cities aims to achieve sustainable strategies and reflect on the relationship with ‘Strategic Environmental Assessment’. This paper has four goals. First, sustainable planning practices at the local and regional levels are analysed considering the legislative and organizational frameworks of each state. The goal is to identify through an analysis of planning documents how much discretion is given to local councils to address sustainable strategies. Second, we focus on two regional and four cities in Queensland, to outline strengths and weaknesses of current legislative and practical frameworks. We use analytical criteria from the SEA literature to investigate these plans in more detail. Third, we examine the relationship between strategic and statutory plans, to see how sustainability is actually implemented. Finally we compare emerging issues about sustainable planning in Australia with countries overseas with different planning and SEA traditions. Considering that SEA is evolving and there are considerable international experiences, we offer recommendations on how Australia might achieve a more integrated and sustainable approach to planning.