ON THE R&D PRIORITY SETTING IN TECHNOLOGY FORESIGHT: A DEA AND ANP APPROACH

Hakyeon Lee (), Changyong Lee (), Hyeonju Seol () and Yongtae Park ()
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Hakyeon Lee: Department of Industrial Engineering, Seoul National University, San 56-1, Shilim-Dong, Kwanak-Gu, Seoul 151-742, Korea
Changyong Lee: Department of Industrial Engineering, Seoul National University, San 56-1, Shilim-Dong, Kwanak-Gu, Seoul 151-742, Korea
Hyeonju Seol: Department of Industrial Engineering, Korea Air Force Academy, 335-1, Ssangsu-li, Namil-myun, Cheongwon-Goon 363-849, Korea
Yongtae Park: Department of Industrial Engineering, Seoul National University, San 56-1, Shilim-Dong, Kwanak-Gu, Seoul 151-742, Korea

International Journal of Innovation and Technology Management (IJITM), 2008, vol. 05, issue 02, 201-219

Abstract: This paper propose a systematic approach to setting R&D priorities of emerging technologies in the technology foresight context. The proposed approach consists of two stages with two multiple criteria decision making methods. Firstly, socio-economic cost-benefit analysis based on data envelopment analysis with macro-level criteria is conducted to screen initial set of emerging technologies. The second stage deals with the detailed prioritization of the emerging technologies that have been selected at the first stage. Analytic network process is employed here with micro-level criteria. The set of derived R&D priorities of emerging technologies is expected to aid R&D policy-making.

Keywords: Technology foresight; R&D priority; multiple criteria decision making (MCDM); data envelopment analysis (DEA); analytic network process (ANP) (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S0219877008001333

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