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Comparative evaluation of performance of national R&D programs with heterogeneous objectives: A DEA approach

Cited 82 time in Web of Science Cited 96 time in Scopus
Authors
Lee, Hakyeon; Park, Yongtae; Choi, Hoogon
Issue Date
2009-08-01
Publisher
ELSEVIER SCIENCE BV
Citation
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH; Vol.196 3; 847-855
Keywords
Data envelopment analysisAnalytic hierarchy processR&D evaluationNational R&D programR&D performance
Abstract
The strategic importance of performance evaluation of national R&D programs is highlighted as the resource allocation draws more attention in R&D policy agenda. Due to the heterogeneity of national R&D programs'''''''' objectives, however, it is intractably difficult to relatively evaluate multiple programs and. consequently, few studies have been conducted on the performance comparison of the R&D programs. This study measures and compares the performance of national R&D programs using data envelopment analysis (DEA). Since DEA allows each DMU to choose the optimal weights of inputs and outputs which maximize its efficiency, it can mirror R&D programs'''''''' unique characteristics by assigning relatively high weights to the variables in which each program has strength. Every project in every R&D program is evaluated together based on the DEA model for comparison of efficiency among different systems. Kruskal-Wallis test with a post hoc Mann-Whitney U test is then run to compare performance of R&D programs. Two alternative approaches to incorporating the importance of variables, the AR model and output integration, are also introduced. The results are expected to provide policy implications for effectively formulating and implementing national R&D programs. (C) 2008 Elsevier B.V. All rights reserved.
ISSN
0377-2217
Language
English
URI
https://hdl.handle.net/10371/75346
DOI
https://doi.org/10.1016/j.ejor.2008.06.016
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Industrial Engineering (산업공학과)Journal Papers (저널논문_산업공학과)
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