Performance index and productivity analysis for national R&D funding in Science and Technology

S. Y. Sohn; J. Y. Choi

doi:10.1109/IEEM.2008.4737837

Performance index and productivity analysis for national R&D funding in Science and Technology

S. Y. Sohn, J. Y. Choi

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Existing studies on performance analysis of R&D funding have focused only on the object of measurement, and have not considered potential relations among various influential factors. In this paper, we developed performance indices to investigate further at individual company level. Empirical analysis was performed using the performance survey data for the Science and Technology Promotion Fund in Korea. The results of performance analysis could be used to provide the individual companies with insightful feedback information for improving their productivity. We hope this study contribute to better management of national R&D funding.

Original language	English
Title of host publication	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Pages	87-91
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2008.4737837
Publication status	Published - 2008
Event	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 - Singapore, Singapore Duration: 2008 Dec 8 → 2008 Dec 11

Publication series

Name	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008

Other

Other	2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008
Country/Territory	Singapore
City	Singapore
Period	08/12/8 → 08/12/11

All Science Journal Classification (ASJC) codes

Management Information Systems
Industrial and Manufacturing Engineering

Access to Document

10.1109/IEEM.2008.4737837

Cite this

Sohn, S. Y., & Choi, J. Y. (2008). Performance index and productivity analysis for national R&D funding in Science and Technology. In 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 (pp. 87-91). Article 4737837 (2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008). https://doi.org/10.1109/IEEM.2008.4737837

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author = "Sohn, {S. Y.} and Choi, {J. Y.}",

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language = "English",

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series = "2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008",

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note = "2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008 ; Conference date: 08-12-2008 Through 11-12-2008",

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Sohn, SY & Choi, JY 2008, Performance index and productivity analysis for national R&D funding in Science and Technology. in 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008., 4737837, 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, pp. 87-91, 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008, Singapore, Singapore, 08/12/8. https://doi.org/10.1109/IEEM.2008.4737837

Performance index and productivity analysis for national R&D funding in Science and Technology. / Sohn, S. Y.; Choi, J. Y.
2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008. 2008. p. 87-91 4737837 (2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Sohn SY, Choi JY. Performance index and productivity analysis for national R&D funding in Science and Technology. In 2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008. 2008. p. 87-91. 4737837. (2008 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2008). doi: 10.1109/IEEM.2008.4737837

Performance index and productivity analysis for national R&D funding in Science and Technology

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