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This research is base on Data Envelopment Analysis (DEA) and RatioAnalysis as tools for assessing the executive efficiency of R&D Projects. The assessment of Ministry of Economic Affairs in Taiwan on the provision of technology projects is used as a vehicle for the two methods. Such projects typically use one or more resources to secure one or more output, the inputsand outputs being possibly incommensurate. With the literature review of theDEA and Ratio Analysis is suited for assessing the R&D project and is thereforebuild and an integrated framework to evaluate R&D projects is also produced. The process of evaluation in this research, first, adopting empirical datato make it possible to identify in the succeeding section input and outputvariable which can be used to assess productive efficiency in R&D projectswithin the same year.Second, using this two methods to assess. In DEA assessingactivity , indicates the relative total efficiency and will enable to find themost productive scale size and employ the slack variable analysis to discussthe operation status and level of improvements in the CCR model. To evaluateR&E performance to determent the technical efficiency and scale efficiency ,furthermore , in the BCC model. In another side, in Ratio Analysis method toassess the performance will construct PIs( Performance Indicators) Defined asthe ratios of each output to each input variable used within the DEA model .And construct the summary PIs to be intended to convey, in summary form, theoverall performance of the R&D projects. After the evaluated activity, thecomparison of two methods focuses on how well the two methods agree on theperformance of a project relative to that of other units, and on the estimatesof targets each method provides for improving the performance of projects.Finally, to build a combination of evaluating model to discuss and analysis. By used the analysis above, the two methods were contrasted in two aspect;the measure or measures of performance and the targets they provide. DEA is to evaluate the performance of the technology projects, and suggest the direction for inefficient units. Ratio Analysis is to evaluate the overall performance in DEA-efficient units. The combined DEA and Ratio Analysis information, reinforced by judgement, can prove useful for indicating the areas where a relatively efficient projects may strengthen its performance further, even if precise improved input and output levels cannot be estimated for a project already DEA efficient. Using these analyses as a reference to those project executives and administrators for controlling and management the performance of R&D projects.
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