882 resultados para Queensland Criminal Code


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This paper reports on a study of ERP lifecycle major issues from the perspectives of individuals with substantial and diverse involvement with SAP Financials in Queensland Government. A survey was conducted of 117 ERP system project participants in five closely related state government agencies. A modified Delphi technique identified, rationalized and weighed perceived major issues in ongoing ERP life cycle implementation, management and support. The five agencies each implemented SAP Financials simultaneously using a common implementation partner. The three survey rounds of the Delphi technique, together with coding and synthesizing procedures, resulted in a set of 10 major issue categories with 38 sub-issues. Relative scores of issue importance are compared across government agencies, roles (client vs implementation partner) and organizational levels (strategic, technical and operational). Study findings confirm the importance of this finer partitioning of the data, and distinctions identified reflect the circumstances of ERP lifecycle implementation, management and support among the stakeholder groups. The study findings should also be of interest to stakeholders who seek to better understand the issues surrounding ERP systems and to better realise the benefits of ERP.

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In his report into corruption in Queensland, Fitzgerald listed whistleblower protection as a necessary part of a strong governance regime. "What is required is an accessible, independent body to which disclosures can be made, confidentially (at least in the first instance) and in any event free from fear of reprisals." It was one of the reforms studied by the Electoral and Administrative Review Committee, the report of which resulted in the Whistleblowers Protection Act 1994 (WPA). The need for whistleblower protection was supported by all sides of Parliament. The Premier, Wayne Goss, in his Second Reading Speech on the Public Sector Ethics Bill , said that that Act and the WPA would form a package with the former outlining required behaviour and the WPA encouraging staff to report wrongdoing. The WPA was subsequently passed and has remained virtually unamended for over a decade. Such consistency is either an indication of skilled drafting and effectiveness or the fact that the Act has been neglected. It is the hypothesis of this paper that the latter is the case. This hypothesis will be tested by examining the sincerity and diligence with which the Act has been treated during, and following, its passage.

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Knowledge of particle emission characteristics associated with forest fires and in general, biomass burning, is becoming increasingly important due to the impact of these emissions on human health. Of particular importance is developing a better understanding of the size distribution of particles generated from forest combustion under different environmental conditions, as well as provision of emission factors for different particle size ranges. This study was aimed at quantifying particle emission factors from four types of wood found in South East Queensland forests: Spotted Gum (Corymbia citriodora), Red Gum (Eucalypt tereticornis), Blood Gum (Eucalypt intermedia), and Iron bark (Eucalypt decorticans); under controlled laboratory conditions. The experimental set up included a modified commercial stove connected to a dilution system designed for the conditions of the study. Measurements of particle number size distribution and concentration resulting from the burning of woods with a relatively homogenous moisture content (in the range of 15 to 26 %) and for different rates of burning were performed using a TSI Scanning Mobility Particle Sizer (SMPS) in the size range from 10 to 600 nm and a TSI Dust Trak for PM2.5. The results of the study in terms of the relationship between particle number size distribution and different condition of burning for different species show that particle number emission factors and PM2.5 mass emission factors depend on the type of wood and the burning rate; fast burning or slow burning. The average particle number emission factors for fast burning conditions are in the range of 3.3 x 1015 to 5.7 x 1015 particles/kg, and for PM2.5 are in the range of 139 to 217 mg/kg.