On the R&D Priority Setting in Technology Foresight: a DEA and ANP Approach

Hakyeon Lee, Changyong Lee, H. Seol, Yongtae Park
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引用次数: 22

Abstract

One of the salient objectives of technology foresight is the determination of R&D priorities. However, there have been few systematic approaches proposed for prioritization of emerging technologies in the foresight context. This study is aimed at proposing a systematic approach based on multiple criteria decision making (MCDM) methods to setting R&D priorities of emerging technologies in the technology foresight context. The proposed approach consists of two stages with two MCDM methods. At the first stage, a number of emerging technologies are screened with macro-level criteria. The socio-economic cost-benefit analysis is conducted by use of data envelopment analysis (DEA). The second stage dealt with the detailed prioritization of the emerging technologies which have passed through the first stage. Analytic network process (ANP) is employed with micro-level criteria. The derived R&D priorities of emerging technologies are expected to aid decision making on how to allocate R&D resources
技术前瞻中的研发优先级设置:DEA和ANP方法
技术预见的一个显著目标是确定研发优先级。然而,在前瞻性背景下,很少有系统的方法提出对新兴技术进行优先排序。本研究旨在提出一种基于多准则决策(MCDM)方法的系统方法来确定技术预见背景下的新兴技术研发优先级。该方法分为两个阶段,采用两种MCDM方法。在第一阶段,用宏观标准筛选一些新兴技术。运用数据包络分析(DEA)进行社会经济成本效益分析。第二阶段讨论了已通过第一阶段的新兴技术的详细优先次序。分析网络过程(ANP)采用微观准则。新兴技术的研发优先级将有助于研发资源配置的决策
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