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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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