972 resultados para Lane changing decision


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Shared Services (SS) involves the convergence and streamlining of an organisation’s functions to ensure timely service delivery as effectively and efficiently as possible. As a management structure designed to promote value generation, cost savings and improved service delivery by leveraging on economies of scale, the idea of SS is driven by cost reduction and improvements in quality levels of service and efficiency. Current conventional wisdom is that the potential for SS is increasing due to the increasing costs of changing systems and business requirements for organisations and in implementing and running information systems. In addition, due to commoditisation of large information systems such as enterprise systems, many common, supporting functions across organisations are becoming more similar than not, leading to an increasing overlap in processes and fuelling the notion that it is possible for organisations to derive benefits from collaborating and sharing their common services through an inter-organisational shared services (IOSS) arrangement. While there is some research on traditional SS, very little research has been done on IOSS. In particular, it is unclear what are the potential drivers and inhibitors of IOSS. As the concepts of IOSS and SS are closely related to that of Outsourcing, and their distinction is sometimes blurred, this research has the first objective of seeking a clear conceptual understanding of the differences between SS and Outsourcing (in motivators, arrangements, benefits, disadvantages, etc) and based on this conceptual understanding, the second objective of this research is to develop a decision model (Shared Services Potential model) which would aid organisations in deciding which arrangement would be more appropriate for them to adopt in pursuit of process improvements for their operations. As the context of the study is on universities in higher education sharing administrative services common to or across them and with the assumption that such services were homogenous in nature, this thesis also reports on a case study. The case study involved face to face interviews from representatives of an Australian university to explore the potential for IOSS. Our key findings suggest that it is possible for universities to share services common across them as most of them were currently using the same systems although independently.

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With the application of GIS methodologies to spatial data, researchers can now identify patterns of occurrence for many social problems including health-issues and crime. Further more, since this type of data also contains clues as to the underlying causes of social problems, it can be used to make well-educated and consequently, more effective policy decisions.

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The importance of broadening community participation in environmental decision-making is widely recognized and lack of participation in this process appears to be a perennial problem. In this context, there have been calls from some academics for the more extensive use of geographic information systems (GIS) and distance learning technologies, accessible via the Internet, as a possible means to inform and empower communities. However, a number of problems exist. For instance, at present the scope for online interaction between policy-makers and citizens is currently limited. Contemporary web-based environmental information systems suffer from this lack of interactivity on the one hand and on the other hand from the apparent complexity for the lay user. This paper explores the issue of online community participation at the local level and attempts to construct a framework for a new (and potentially more effective) model of online participatory decision-making. The key components, system architecture and stages of such a model are introduced. This model, referred to as a ‘Community Based Interactive Environmental Decision Support System’, incorporates advanced information technologies, distance learning and community involvement tools which will be applied and evaluated in the field through a pilot project in Tokyo in the summer of 2002.

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The use of computing to support environmental planning and the development of land use models dates back to the late 1950s. The main thrust of computing applications, which by the early 1980s increasingly included the use of geospatial technologies, is their contribution to better planning and decision making. The computing tools and technologies are designed to enhance the planners’ capability to deal with complex environments and to plan for prosperous and livable communities. This paper examines the role of Information Technologies (IT) and particularly Internet Based Geographic Information Systems (Internet GIS) as spatial decision support systems to aid community based local decision making. The paper also covers the advantages and challenges of these internet based mapping applications and tools for collaborative decision making on the environment.

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Since the industrial revolution, our world has experienced rapid and unplanned industrialization and urbanization. As a result, we have had to cope with serious environmental challenges. In this context, explanation of how smart urban ecosystems can emerge, gains a crucial importance. Capacity building and community involvement have always been the key issues in achieving sustainable development and enhancing urban ecosystems. By considering these, this paper looks at new approaches to increase public awareness of environmental decision making. This paper will discuss the role of Information and Communication Technologies (ICT), particularly Web-based Geographic Information Systems (Web-based GIS) as spatial decision support systems to aid public participatory environmental decision making. The paper also explores the potential and constraints of these web-based tools for collaborative decision making.