The dual analytic hierarchy process to prioritize emerging technologies

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

Research output: Contribution to journalArticle

15 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 languageEnglish
Pages (from-to)566-577
Number of pages12
JournalTechnological Forecasting and Social Change
Volume77
Issue number4
DOIs
Publication statusPublished - 2010 May

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation

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