289 resultados para Farming Sector


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This chapter analyses the copyright law framework needed to ensure open access to outputs of the Australian academic and research sector such as journal articles and theses. It overviews the new knowledge landscape, the principles of copyright law, the concept of open access to knowledge, the recently developed open content models of copyright licensing and the challenges faced in providing greater access to knowledge and research outputs.

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Background In Australia, maternity care is available through universal coverage and a parallel, competitive private health insurance system. Differences between sectors in antenatal and intrapartum care and associated outcomes are well documented but few studies have investigated differences in postpartum care following hospital discharge and their impact on maternal satisfaction and confidence. Methods Women who birthed in Queensland, Australia from February to May 2010 were mailed a self-report survey 4 months postpartum. Regression analysis was used to determine associations between sector of birth and postpartum care, and whether postpartum care experiences explained sector differences in postpartum well-being (satisfaction, parenting confidence and feeling depressed). Results Women who birthed in the public sector had higher odds of health professional contact in the first 10 days post-discharge and satisfaction with the amount of postpartum care. After adjusting for demographic and postpartum contact variables, sector of birth no longer had an impact on satisfaction (AOR 0.95, 99% CI 0.78-1.31), but any form of health professional contact did. Women who had a care provider’s 24 hour contact details had higher odds of being satisfied (AOR 3.64, 95% CI 3.00-4.42) and confident (AOR 1.34, 95% CI 1.08- 1.65). Conclusion Women who birthed in the public sector appeared more satisfied because they had higher odds of receiving contact from a health professional within 10 days post-discharge. All women should have an opportunity to speak to and/or see a doctor, midwife or nurse in the first 10 days at home, and the details of a person they can contact 24 hours a day.

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The upstream oil and gas industry has been contending with massive data sets and monolithic files for many years, but “Big Data” is a relatively new concept that has the potential to significantly re-shape the industry. Despite the impressive amount of value that is being realized by Big Data technologies in other parts of the marketplace, however, much of the data collected within the oil and gas sector tends to be discarded, ignored, or analyzed in a very cursory way. This viewpoint examines existing data management practices in the upstream oil and gas industry, and compares them to practices and philosophies that have emerged in organizations that are leading the way in Big Data. The comparison shows that, in companies that are widely considered to be leaders in Big Data analytics, data is regarded as a valuable asset—but this is usually not true within the oil and gas industry insofar as data is frequently regarded there as descriptive information about a physical asset rather than something that is valuable in and of itself. The paper then discusses how the industry could potentially extract more value from data, and concludes with a series of policy-related questions to this end.

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Explored in this study are the participative behaviour of organisational leaders in the emerging for-profit sector in Bhutan. Leaders engage primarily in verbal participative behaviour with subordinates when making organisational decisions especially if they believe in the importance of the contribution of participation to organization effectiveness. Leaders who believe in high power distance however are less likely to engage in both verbal participative behaviour and consultative participative behaviour. The research contributes to our understanding of participative decision making by identifying dimensions of participative behavior in the context of emerging economies.

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The Australian water sector needs to adapt to effectively deal with the impacts of climate change on its systems. Challenges as a result of climate change include increasingly extreme occurrences of weather events including flooding and droughts (Pittock, 2011). In response to such challenges, the National Water Commission in Australia has identified the need for the water sector to transition towards being readily adaptable and able to respond to complex needs for a variety of supply and demand scenarios (National Water Commission, 2013). To successfully make this transition, the sector will need to move away from business as usual, and proactively pursue and adopt innovative approaches and technologies as a means to successfully address the impacts of climate change on the Australian water sector. In order to effectively respond to specific innovation challenges related to the sector, including climate change, it is first necessary to possess a foundational understanding about the key elements related to innovation in the sector. This paper presents this base level understanding, identifying the key barriers, drivers and enablers, and elements for innovative practise in the water sector. After initially inspecting the literature around the challenges stemming from climate change faced by the sector, the paper then examines the findings from the initial two rounds of a modified Delphi study, conducted with experts from the Australian water sector, including participants from research, government and industry backgrounds. The key barriers, drivers and enablers for innovation in the sector identified during the initial phase of the study formed the basis for the remainder of the investigation. Key elements investigated were: barriers – scepticism, regulation systems, inconsistent policy; drivers – influence of policy, resource scarcity, thought leadership; enablers – framing the problem, effective regulations, community acceptance. There is a convincing argument for the water sector transitioning to a more flexible, adaptive and responsive system in the face of challenges resulting from climate change. However, without first understanding the challenges and opportunities around making this transition, the likelihood of success is limited. For that reason, this paper takes the first step in understanding the elements surrounding innovation in the Australian water sector.

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The ACPNS nonprofit sector legal almanac provides summaries of legal cases involving nonprofit organisations, or of relevance to the work of nonprofits, particularly from Australia, but also New Zealand, the United Kingdom, Canada and the United States. It also summarises legislative changes that relate to nonprofit organisations in all Australian jurisdictions, and includes short articles on relevant topics: mergers of not for profit organisations; public ancillary funds; charitable housing; and dispute resolution.

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Nigerian electricity market is characterized by inadequate electricity generation framework, compounded by lack of timely routine maintenances. This results in significant deterioration in plant electricity output. This study analyzes the productivity changes in the Nigerian power sector. Productivity increased on average in the power sector by the adoption of new technologies from best-practice power plants. The assumption of Hicks neutral technological change is found not to be suitable for the Nigerian power sector. This study finds that the plants are not using their capacity meaningfully, instead, there is a tendency to use labor.

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Factor and cluster analysis are used to identify different methods that public sector agencies in Europeuse to innovate, based on data from a 2010 survey of 3273 agencies. The analyses identify three types ofinnovative agencies: bottom-up, knowledge-scanning, and policy-dependent. The distribution of bottom-up agencies across European countries is positively correlated with average per capita incomes while thedistribution of knowledge-scanning agencies is negatively correlated with income. In contrast, there isno consistent pattern by country in the distribution of policy-dependent agencies. Regression resultsthat control for agency characteristics find that innovation methods are significantly correlated with thebeneficial outcomes of innovation, with bottom-up and knowledge-scanning agencies out-performingpolicy-dependent agencies.

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Cloud computing has significantly impacted a broad range of industries, but these technologies and services have been absorbed throughout the marketplace unevenly. Some industries have moved aggressively towards cloud computing, while others have moved much more slowly. For the most part, the energy sector has approached cloud computing in a measured and cautious way, with progress often in the form of private cloud solutions rather than public ones, or hybridized information technology systems that combine cloud and existing non-cloud architectures. By moving towards cloud computing in a very slow and tentative way, however, the energy industry may prevent itself from reaping the full benefit that a more complete migration to the public cloud has brought about in several other industries. This short communication is accordingly intended to offer a high-level overview of cloud computing, and to put forward the argument that the energy sector should make a more complete migration to the public cloud in order to unlock the major system-wide efficiencies that cloud computing can provide. Also, assets within the energy sector should be designed with as much modularity and flexibility as possible so that they are not locked out of cloud-friendly options in the future.

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Problem of water scarcity has been increasingly severe in China. Though industrial sectors play important role for the rapid economic growth, and they consumes water and discharge wastewater. The purpose of this study is to examine the efficiency of water use and wastewater discharge in comparison with those of other inputs and production output in Chinese industry. Measuring efficiency of each input and output factor from 2002 to 2008, we find the average inefficiencies of industrial water use and industrial wastewater discharge are higher than those of capital, labor, and production output in China. In addition, the productivity levels to save water in the water shortage areas are not higher compared to the others. The water use inefficiency has a high dispersion especially in the regions where the amounts of water resources per capita is less than 3000 cubic meter.

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Creative digital media are increasingly utilized by companies in all industries. Here cases studies of creative media innovations in manufacturing, mining and education were facilitated and evaluated. The cases dealt respectively with designs in manufacturing, visualizing mining data, and developing tools for adult literacy. The difficulties of merging creative media teams into these different contexts were noted and the idea of creative interoperability was developed. Creative interoperability explains how creative teams can connect with other disciplines to bring about innovations.

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In 2013 the OECD released its 15 point Action plan to deal with base erosion and profit shifting (BEPS). In that plan it was recognised that BEPS has a significant effect on developing countries. This is because the lack of tax revenue can lead to a critical underfunding of public investment that would help promote economic growth. To this end, the BEPS project is aimed at ensuring an inclusive approach to take into account not only views of the G20 and OECD countries but also the perspective of developing nations. With this focus in mind and in the context of developing nations, the purpose of this article is to consider a possible solution to profit shifting which occurs under the current transfer pricing regime, with that solution being unitary taxation with formulary apportionment. It does so using the finance sector as a specific case for application. Multinational financial institutions (MNFIs) play a significant role in financing activities of their clients in developing nations. Consistent with the ‘follow-the-client’ phenomenon which explains financial institution expansion, these entities are increasingly profiting from activities associated with this growing market. Further, not only are MNFIs persistent users of tax havens but also, more than other industries, have opportunities to reduce tax through transfer pricing measures. This article establishes a case for an industry specific adoption of unitary taxation with formulary apportionment as a viable alternative to the current regime. It argues that such a model would benefit not only developed nations but also developing nations which are currently suffering the effects of BEPS. In doing so, it considers the practicalities of such an implementation by examining both definitional issues and a possible formula for MNFIs. This article argues that, while there would be implementation difficulties to overcome, the current domestic models of formulary apportionment provide important guidance as to how the unitary business and business activities of MNFIs should be defined as well as factors that should be included in an allocation formula, along with the appropriate weighting. While it would be difficult for developing nations to adopt such a regime, it is argued that it would be no more difficult than addressing issues they face with the current transfer pricing regime. As such, this article concludes that unitary taxation with formulary apportionment is a viable industry specific alternative for MNFIs which would assist developing nations and aid independent fiscal soundness.

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Multinational financial institutions (MNFIs) play a significant role in financing the activities of their clients in developing nations. Consistent with the ‘follow-the-customer’ phenomenon which explains financial institution expansion, these entities are increasingly profiting from activities associated with this growing market. However, not only are MNFIs persistent users of tax havens, but also, more than other industries, have the opportunity to reduce tax through transfer pricing measures. This paper establishes a case for an industry-specific adoption of unitary taxation with formulary apportionment as a viable alternative to the current regime. In doing so, it considers the practicalities of implementing this by examining both definitional issues and possible formulas for MNFIs. This paper argues that, while there would be implementation difficulties to overcome, the current domestic models of formulary apportionment provide important guidance as to how the unitary business and business activities of MNFIs should be defined, as well as the factors that should be included in an allocation formula, and the appropriate weighting. This paper concludes that unitary taxation with formulary apportionment is a viable industry-specific alternative for MNFIs.

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Using qualitative research with case studies of firms in the Australian retail sector, this thesis explores the link between brand differentiation, customer insights, and strategy development to deliver a unique customer experience. The research focus is how brand expression is driven by customer insights. Findings indicate that customer experience is made tangible by the strategic design and alignment of the brand's expression and is crucial to retail success. A significant practical outcome is the development of the Brand Differentiated Model. Created as a tool to potentially assist retailers develop brands from the 'inside out' and confront future disruptions.

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The concept of big data has already outperformed traditional data management efforts in almost all industries. Other instances it has succeeded in obtaining promising results that provide value from large-scale integration and analysis of heterogeneous data sources for example Genomic and proteomic information. Big data analytics have become increasingly important in describing the data sets and analytical techniques in software applications that are so large and complex due to its significant advantages including better business decisions, cost reduction and delivery of new product and services [1]. In a similar context, the health community has experienced not only more complex and large data content, but also information systems that contain a large number of data sources with interrelated and interconnected data attributes. That have resulted in challenging, and highly dynamic environments leading to creation of big data with its enumerate complexities, for instant sharing of information with the expected security requirements of stakeholders. When comparing big data analysis with other sectors, the health sector is still in its early stages. Key challenges include accommodating the volume, velocity and variety of healthcare data with the current deluge of exponential growth. Given the complexity of big data, it is understood that while data storage and accessibility are technically manageable, the implementation of Information Accountability measures to healthcare big data might be a practical solution in support of information security, privacy and traceability measures. Transparency is one important measure that can demonstrate integrity which is a vital factor in the healthcare service. Clarity about performance expectations is considered to be another Information Accountability measure which is necessary to avoid data ambiguity and controversy about interpretation and finally, liability [2]. According to current studies [3] Electronic Health Records (EHR) are key information resources for big data analysis and is also composed of varied co-created values [3]. Common healthcare information originates from and is used by different actors and groups that facilitate understanding of the relationship for other data sources. Consequently, healthcare services often serve as an integrated service bundle. Although a critical requirement in healthcare services and analytics, it is difficult to find a comprehensive set of guidelines to adopt EHR to fulfil the big data analysis requirements. Therefore as a remedy, this research work focus on a systematic approach containing comprehensive guidelines with the accurate data that must be provided to apply and evaluate big data analysis until the necessary decision making requirements are fulfilled to improve quality of healthcare services. Hence, we believe that this approach would subsequently improve quality of life.