The dual analytic hierarchy process to prioritize emerging technologies

Wanki Kim; Sung Kwon Han; Kyong Joo Oh; Tae Yoon Kim; Hyunchul Ahn; Chiwoo Song

doi:10.1016/j.techfore.2009.12.008

The dual analytic hierarchy process to prioritize emerging technologies

Wanki Kim, Sung Kwon Han, Kyong Joo Oh, Tae Yoon Kim, Hyunchul Ahn, Chiwoo Song

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

16 Citations (Scopus)

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	https://doi.org/10.1016/j.techfore.2009.12.008
Publication status	Published - 2010 May

Bibliographical note

Funding Information:
T.Y. Kim’s research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (KRF-2009-0065645).

All Science Journal Classification (ASJC) codes

Business and International Management
Applied Psychology
Management of Technology and Innovation

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10.1016/j.techfore.2009.12.008

Cite this

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title = "The dual analytic hierarchy process to prioritize emerging technologies",

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.",

author = "Wanki Kim and Han, {Sung Kwon} and Oh, {Kyong Joo} and Kim, {Tae Yoon} and Hyunchul Ahn and Chiwoo Song",

note = "Funding Information: T.Y. Kim{\textquoteright}s research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (KRF-2009-0065645). ",

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AU - Song, Chiwoo

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The dual analytic hierarchy process to prioritize emerging technologies

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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