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 journalArticlepeer-review

18 Citations (Scopus)


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
Issue number4
Publication statusPublished - 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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