Impact analysis for national R&D funding in science and technology using quantification method II

Jin Young Choi, Jong Ha Lee, So Young Sohn

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


As the influences of science and technology on its national economy have increased, each country has devised various funding programs for research and development (R&D) projects. Numerous studies have been conducted to evaluate the performance of such R&D projects. In most studies, the performances were measured in terms of an ordinal Likert scale, but they were treated as continuous variables. Much important information can be buried when a categorical Likert scale is treated as continuous variable. In this paper, we treat Likert scales as categorical and apply quantification method II to analyze the relationship between short- to mid-term performance factors and long-term impact factor of R&D projects. We apply the proposed approach to the survey data obtained from the Science and Technology Promotion Fund in Korea. The results of this paper are expected to contribute to a better understanding of the impact of R&D funding.

Original languageEnglish
Pages (from-to)1534-1544
Number of pages11
JournalResearch Policy
Issue number10
Publication statusPublished - 2009 Dec

Bibliographical note

Funding Information:
This work is based on the Korean report that won the Student Paper Contest of the Korea National Statistical Office in 2008, which was supervised by the corresponding author. The current version of the work was financially supported by the Ministry of Knowledge Economy (MKE) and the Korea Institute for Advancement in Technology (KIAT) through the Workforce Development Program in Strategic Technology.

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Management of Technology and Innovation


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