Evaluating Relative Efficiency of Technological Development Programs in the Fields of Electronics, Information, Communications and Optoelectronics by Data Envelopment Analysis

• Main Authors: SU-HUI HSU, 許夙慧
• Other Authors: D. J. Horng
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/89484671711000556392

碩士 === 國立中央大學 === 企業管理學系碩士在職專班 === 99 === In the era of globalization and knowledge economy, emerging countries (such as the four BRIC countries) rise abruptly. With the advantages of low labor cost, plentiful natural resources, and extensive consumer market, the trend of the big ones always remaining big, and the increasingly more severe global competition, it is an important subject to utilize the limited resources effectively, improve the competitiveness of technological research and development projects (R&D Projects), pushing emerging industries, and triggering economic growth. Particularly, the technological research and development projects are belong to public resources, and it is extremely important to utilize the limited resources appropriately. This article is intended for exploring the relative efficiency of technological projects in the fields of electronics, information, communications, and optoelectronics of MOEA of Taiwan. The contents of this study are based on a total of 23 projects including the research samples on technological projects of MOEA from 2005 to 2008 and three other research institutes and the data envelopment analysis (DEA) is used to understand the relative efficiency of the technological projects and the super-efficient projects of corporate entities and the way of making adjustments on resources by the decision making units (DMUs). The analysis result shows that only 26.67% of the total DMUs can reach the efficiency frontier. More than half of the projects is obviously inefficient and the percentage of projects that require a reduction of research budget and manpower input exceeds 50% making up 30.67% of the total DMU, wherein Department A is the most efficient department and 34.78% of its projects is efficient; Department C is the second efficient department and 20% of its projects is efficient; and Department B is the least efficient department, and only 7.14% of its projects is efficient.