The dual analytic hierarchy process to prioritize emerging technologies

被引：18

作者：

Kim, Wanki ^{[1
]}

Han, Sung Kwon ^{[1
]}

Oh, Kyong Joo ^{[1
]}

Kim, Tae Yoon ^{[2
]}

Ahn, Hyunchul ^{[3
]}

Song, Chiwoo ^{[1
]}

机构：

[1] Yonsei Univ, Dept Informat & Ind Engn, Seoul 120749, South Korea

[2] Keimyung Univ, Dept Stat, Taegu, South Korea

[3] Kookmin Univ, Sch Management Informat Syst, Seoul, South Korea

来源：

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2010年 / 77卷 / 04期

基金：

新加坡国家研究基金会;

关键词：

Dual AHP; Country level technology selection;

D O I：

10.1016/j.techfore.2009.12.008

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Recently, an analytic hierarchy process (AHP) has been frequently used as a proper tool for a wide variety of decision-making situations in fields such as government, business, industry, healthcare, and education. In this article, we will mainly focus on the use of the AHP to select proper emerging technologies for future R&D at a country level. For successful completion of our project, we propose to use the dual AHP (DAHP) which consists of the regular AHP and the Bayesian type AHP. This DAHP performs useful features when decomposition of the main criteria is desirable but is not technically feasible via the conventional AHP. As an empirical application, appropriate electronic device technologies for future R&D in Korea are found by the DAHP, which reveals that DAHP-led technologies selection (or DAHP-led resources allocation) at a country level is a many-faceted problem. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：566 / 577

页数：12

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