Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 566-577 |
| Number of pages | 12 |
| Journal | Technological Forecasting and Social Change |
| Volume | 77 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2010 May 1 |
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All Science Journal Classification (ASJC) codes
- Business and International Management
- Applied Psychology
- Management of Technology and Innovation
Cite this
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The dual analytic hierarchy process to prioritize emerging technologies. / Kim, Wanki; Han, Sung Kwon; Oh, Kyong Joo; Kim, Tae Yoon; Ahn, Hyunchul; Song, Chiwoo.
In: Technological Forecasting and Social Change, Vol. 77, No. 4, 01.05.2010, p. 566-577.Research output: Contribution to journal › Article
TY - JOUR
T1 - The dual analytic hierarchy process to prioritize emerging technologies
AU - Kim, Wanki
AU - Han, Sung Kwon
AU - Oh, Kyong Joo
AU - Kim, Tae Yoon
AU - Ahn, Hyunchul
AU - Song, Chiwoo
PY - 2010/5/1
Y1 - 2010/5/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=77950088337&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2009.12.008
DO - 10.1016/j.techfore.2009.12.008
M3 - Article
AN - SCOPUS:77950088337
VL - 77
SP - 566
EP - 577
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
SN - 0040-1625
IS - 4
ER -