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 journalArticle

14 Citations (Scopus)

Abstract

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
Volume38
Issue number10
DOIs
Publication statusPublished - 2009 Dec

All Science Journal Classification (ASJC) codes

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

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