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Lee, Changyong
Technology and Innovation Management Lab
Research Interests
  • applied data mining and machine learning, technology and innovation management, service engineering

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On the r&d priority setting in technology foresight: A DEA and ANP approach

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dc.contributor.author Lee, H. -
dc.contributor.author Lee, Changyong -
dc.contributor.author Seol, H. -
dc.contributor.author Park, Y. -
dc.date.accessioned 2014-11-24T00:03:34Z -
dc.date.available 2014-11-24T00:03:34Z -
dc.date.created 2014-11-21 -
dc.date.issued 2009-06 -
dc.identifier.citation International Journal of Innovation and Technology Management, v.5, no.2, pp.201 - 219 -
dc.identifier.issn 0219-8770 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/9158 -
dc.description.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. -
dc.description.statementofresponsibility open -
dc.language ENG -
dc.publisher World Scientific Publishing Co. Pte Ltd -
dc.subject analytic network process (ANP) -
dc.subject data envelopment analysis (DEA) -
dc.subject multiple criteria decision making (MCDM) -
dc.subject R&D priority -
dc.subject Technology foresight -
dc.title On the r&d priority setting in technology foresight: A DEA and ANP approach -
dc.type ARTICLE -
dc.identifier.scopusid 2-s2.0-77950590729 -
dc.type.rims ART -
dc.description.scopustc 8 *
dc.date.scptcdate 2014-11-21 *
dc.identifier.doi 10.1142/S0219877008001333 -
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