Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs
碩士 === 國防管理學院 === 國防財務資源研究所 === 96 === The aim of this paper develops two-stage production process of Technology Development Programs (TDPs) to explore the “R&D performance” and “technology diffusion performance” by using a non-parametric frontier method-data envelopment analysis (DEA). In addit...
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ndltd-TW-096NDMC16880012015-10-13T11:31:58Z http://ndltd.ncl.edu.tw/handle/57443328248898612366 Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs 智慧資本重要嗎?評估科技專案之研發效率與技術擴散效率 Tung-Pao Wang 王東寶 碩士 國防管理學院 國防財務資源研究所 96 The aim of this paper develops two-stage production process of Technology Development Programs (TDPs) to explore the “R&D performance” and “technology diffusion performance” by using a non-parametric frontier method-data envelopment analysis (DEA). In addition, this study also implements the sequential DEA identifying four TDP groups. One-Way ANOVA is used to analyze differences in intellectual capital(IC) variables across the four groups. The results reveal that R&D performance is better than technology diffusion performance for TDPs. The “Mechanical, Mechatronic and Transportation field” is more efficient than the other fileds in R&D performance model. In the technology diffusion performance model, the”Biotechnologh, Pharmaceutical, Material and Chemical field” is the best among all fields. The findings also point to important of IC in achieving high levels of TDP efficiency. The potential applications and strengths of DEA and IC in assessing the performance of TDP are highlighted. Wen-Min Lu 盧文民 2008 學位論文 ; thesis 87 zh-TW |
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碩士 === 國防管理學院 === 國防財務資源研究所 === 96 === The aim of this paper develops two-stage production process of Technology Development Programs (TDPs) to explore the “R&D performance” and “technology diffusion performance” by using a non-parametric frontier method-data envelopment analysis (DEA). In addition, this study also implements the sequential DEA identifying four TDP groups. One-Way ANOVA is used to analyze differences in intellectual capital(IC) variables across the four groups. The results reveal that R&D performance is better than technology diffusion performance for TDPs. The “Mechanical, Mechatronic and Transportation field” is more efficient than the other fileds in R&D performance model. In the technology diffusion performance model, the”Biotechnologh, Pharmaceutical, Material and Chemical field” is the best among all fields. The findings also point to important of IC in achieving high levels of TDP efficiency. The potential applications and strengths of DEA and IC in assessing the performance of TDP are highlighted.
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Wen-Min Lu |
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Wen-Min Lu Tung-Pao Wang 王東寶 |
author |
Tung-Pao Wang 王東寶 |
spellingShingle |
Tung-Pao Wang 王東寶 Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs |
author_sort |
Tung-Pao Wang |
title |
Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs |
title_short |
Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs |
title_full |
Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs |
title_fullStr |
Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs |
title_full_unstemmed |
Does Intellectual Capital Matter ? Measuring the R&D Efficiency and Technology Diffusion Efficiency of Technology Development Programs |
title_sort |
does intellectual capital matter ? measuring the r&d efficiency and technology diffusion efficiency of technology development programs |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/57443328248898612366 |
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