| Summary: | 碩士 === 國立雲林科技大學 === 企業管理學系 === 85 === Recently the government and the popular emphasized on R&D activities.They embark a large expenditure on R&D activities. They have the same goal that is getting a better R&D effect. R&D is a incentive of ecomomic development and social progress today. Many countries make R&D activities as an important topic in their government''s policies.
This paper focuses on ten R&D sectors of the Industrial Technology Research Institute(ITRI), and they have their positions and tasks. This paper uses data envelopment analysis(DEA)which is a systematic, proper, objective method to evaluate efficiency of R&D sectors. BY using DEA, we can obtain results to realize these R&D sectors'' efficiency, find a gap between practical state and desired goal to adjust these efficiency. Through this efficiency evaluation, let ITRI''s R&D efficiency be improved.
This paper has some findings:
1. In the technical efficiency''s analysis: In the evaluated R & D sectors, efficient unit and non-efficient units are the same rate.
2.In the dummy multiplier''s analysis: Overall, the importance of patent rights is better than the importance of technologic innovation and transfer.
3.In the slack variable analysis:Through the slack variables, we could realize a improved way in the future. Values of the slack variables represent a amount of decreasing inputs or increasing outputs in nonefficient units. This information can realize a thing where does a improved space does have.
4.In the pure technical efficiency and scale efficiency analysis : On the whole evaluated units is a non-technical efficiency sector because of more scale efficiency, less pure technical efficiency. In this R&D sectors, eight units are located in the scale returns to increasing, and tow units are located in the scale returns to decreasing.
5.In the Andersen & Petersen model : Through this model, we can realize their reference sets and ranks in efficient unit. This order is Electronics Research & Service Organization, Union Chemical Laboratories, Computer & Communication Research Laboratory, Center for Measurement Standards, Mechanical Industrial Research Laboratories.
6.In the sensitive analysis : In this analysis, we can realizea variation of efficiency scores when variables are deleted. In the overall, the primal efficiency scores is larger than the changed efficiency scores.
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