80 resultados para strategic planning

em Deakin Research Online - Australia


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In an environment characterised by flux and uncertainty, a capacity for innovative, divergent strategic thinking rather than conservative, convergent strategic planning is seen as central to creating and sustaining competitive advantage. As the case study of Communications Co. illustrates, scenario planning is one tool that many organisations, committed to redesigning their strategic planning processes, are using with some success. However, scenario planning requires both left- and right-brain thinking styles. The elements of left-brain thinking reflect the planning side of strategy making, while right-brain thinking mirrors the thinking component of strategy making. The relationship between the factors that enable strategic thinking and the level of “emotional intelligence” of business leaders is also considered. The Communications Co. case findings appear to support the view that while strategic thinking capabilities can be nurtured and diffused through an organisation, it will need business leaders with a high degree of emotional intelligence to lead the way.

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Integrated coastal management (ICM) has been slowly accepted over the last decade as a unifying approach for coastal planning and management throughout the world. Coastal planning aimed at achieving the objectives of ICM can be implemented by varying processes and faces many challenges. One major challenge for coastal planning is to adapt the well-developed theoretical principles of ICM to practical and understandable outcomes in local areas. Associated with this challenge is the need to balance coastal planning objectives for conservation and economic development of a nation or state/province with the objectives of the local community. This article describes a three-tiered approach to coastal planning in Victoria, Australia, which will be of value to other countries, particularly those with subnational coastal planning jurisdictions. This approach not only has the aim of balancing subnational (e.g., state government) and local objectives, but also of applying the theoretical concept of ICM in practice on the ground. In addition, the approach sets out to achieve a sense of ownership of the planning process by local communities by maximizing their involvement at all levels of planning and also by making the state strategy as easy to understand and follow as possible.

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There is ample evidence that in many countries school science is in difficulty, with declining student attitudes and uptake of science. This presentation argues that a key to addressing the problem lies in transforming teachers’ classroom practice, and that pedagogical innovation is best supported within a school context. Evidence for effective change will draw on the School Innovation in Science (SIS) initiative in Victoria, which has developed and evaluated a model to improve science teaching and learning across a school system. The model involves a framework for describing effective teaching and learning, and a strategy that allows schools flexibility to develop their practice to suit local conditions and to maintain ownership of the change process. SIS has proved successful in improving science teaching and learning in primary and secondary schools. Experience from SIS and related projects, from a national Australian science and literacy project, and from system wide science initiatives in Europe, will be used to explore the factors that affect the success and the path of innovation in schools.

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The experiences of two Australian non-profit member-benefit associations as they attempt to develop strategic plans are explored, with emphasis on the influence of the many stakeholders in this process. We conclude that
corporate strategic planning is a complex, conflict-ridden, and largely
unsuccessful process in non-profit member-benefit associations because of the number and commitment of stakeholders. Therefore we suggest that future research should focus on clarifying whether such corporate management techniques are actually appropriate for all non-profit organisations, and, if they are, how non-profit organisations can best manage the process, taking into account the values and needs of stakeholders.

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Within most universities there are central areas that assist with teaching and learning and, in the case of universities offering programs through distance education or flexible learning, there are also units that develop and or manufacture course material. As budget constraints squeeze universities and, with a plethora of choices in online and integrated learning, the usefulness of centralised learning resource units can be called into question. To ensure these units remain vital and can justify their budgets to their parent organisations they need to demonstrate delivery of customer value. What do faculty staff value from a central unit? What irritates students about their course materials? What are the most important services from the point of view of a head of school? This paper outlines the process followed by Learning Services at Deakin University to discover its customers’ value model. Customer value propositions and the removal of what irritates the customer are then used to drive strategic planning, service offerings and continuous process improvement.

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There is ample evidence that in many countries school science is in difficulty, with declining student attitudes and uptake of science. This presentation argues that a key to addressing the problem lies in transforming teachers’ classroom practice, and that pedagogical innovation is best supported within a school context. Evidence for effective change will draw on the School Innovation in Science (SIS) initiative in Victoria, which has developed and evaluated a model to improve science teaching and learning across a school system. The model involves a framework for describing effective teaching and learning, and a strategy that allows schools flexibility to develop their practice to suit local conditions and to maintain ownership of the change process. SIS has proved successful in improving science teaching and learning in primary and secondary schools. Experience from SIS and related projects, from a national Australian science and literacy project, and from system wide science initiatives in Europe, will be used to explore the factors that affect the success and the path of innovation in schools.

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Enterprises are continuously evolving systems; this evolution can be directed or emergent. Enterprise transformation has special aspects due to the enterprise being a socio-technical system whereupon evolution happens on the levels of individuals / humans / organisation, on the level of the technology and on the level of the Information Systems that integrates the activities performed by humans and by technology. Furthermore, changes are typically continuous, due partly to external factors and partly to strategic foresights. Either way, transformation needs to happen so that the enterprise can keep satisfying its objectives. An important transformation mechanism is to perform mergers or acquisitions (M&As). Interestingly, literature reveals that an unacceptably high percentage of M&As do not achieve the aimed objectives and (as we demonstrate) the success of such trajectory depends on several factors. This article proposes a methodology to overcome potential problems by making necessary anticipatory transformations opening up a possibility to perform M&As with a better chance of success.

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This article describes the implementation of machine learning techniques that assist cycling experts in the crucial decision-making processes for athlete selection and strategic planning in the track cycling omnium. The omnium is a multi-event competition that was included in the Olympic Games for the first time in 2012. Presently, selectors and cycling coaches make decisions based on experience and opinion. They rarely have access to knowledge that helps predict athletic performances. The omnium presents a unique and complex decision-making challenge as it is not clear what type of athlete is best suited to the omnium (e.g., sprint or endurance specialist) and tactical decisions made by the coach and athlete during the event will have significant effects on the overall performance of the athlete. In the present work, a variety of machine learning techniques were used to analyze omnium competition data from the World Championships since 2007. The analysis indicates that sprint events have slightly more influence in determining the medalists, than endurance-based events. Using a probabilistic analysis, we created a model of performance prediction that provides an unprecedented level of supporting information that assists coaches with strategic and tactical decisions during the omnium.

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Australia's northern savannas are one of the few remaining large and mostly intact natural areas on Earth. However, their biodiversity and ecosystem values could be threatened if proposed agricultural development proceeds. Through land-use change scenarios, we explored trade-offs and synergies among biodiversity conservation, carbon farming and agriculture production in northern Australia. We found that if all suitable soils were converted to agriculture, habitat at unique recorded locations of three species would disappear and 40 species and vegetation communities could lose more than 50% of their current distributions. Yet, strategically considering agriculture and biodiversity outcomes leads to zoning options that could yield >56,000 km2 of agricultural development with a significantly lower impact on biodiversity values and carbon farming. Our analysis provides a template for policy-makers and planners to identify areas of conflict between competing land-uses, places to protect in advance of impacts, and planning options that balance agricultural and conservation needs.

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Local governments are increasingly seeking new ways to engage with communities through a variety of productive avenues. Yet strategic planning lags behind with an accepted method to consult and engage with communities about proposed policy changes. When engagement methods are used which go beyond those which are legislated for, the process often involves members of communities who are familiar with planning processes, or have time to participate, thereby excluding large sections of the community. In addition, consultation methods often lack rigour in data collection upon which major strategic decisions are based, thereby undermining government's capacity to make quality and informed planning decisions. The aim of this paper is to assist local government urban planners with their community engagement practice in order to form policies which are acceptable to the affected communities. The paper proposes a community engagement framework which introduces rigour within the community engagement process by drawing on research methods from psychology and political science.