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http://dx.doi.org/10.5392/JKCA.2017.17.04.541

Developing a Quantitative Evaluation Model for Screening the Research Grant Applications  

Yoo, Jin-Man (충남대학교 무역학과)
Han, In-Soo (충남대학교 경영학과)
Oh, Keun-Yeob (충남대학교 무역학과)
Publication Information
The Journal of the Korea Contents Association / v.17, no.4, 2017 , pp. 541-549 More about this Journal
Abstract
This research investigates the quantitative screening methods for the Grant Funding system and seeks for the efficient evaluation of a number of proposals. We search foreign cases of Grand Funding, but we found no appropriate model for using in Korea. Thus, we had to develope our own model for better screening. First, we analyse the existing evaluation system and find some problems and challenges. Second, we suggest a quantitative screening system for Grant Funding with a numeric model, and operates a tedious simulation by using the previous data and our suggested model. Third, we test the suggested model and find the optimal model by using simulation method The number of data analysed for simulation is larger than 200 thousands. Last, we suggest some brief policy implications based on the results in the paper.
Keywords
NRF; Grant Funding; Weight Evaluation Index; Quantitative Screening Method; Logit Regression;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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