Two-level DEA approaches in research evaluation
Meng, W; Zhang, DQ; Qi, L; Liu, WB
2008
Source PublicationOMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
ISSN0305-0483
Volume36Issue:6Pages:8,950-957
AbstractIt is well known that the discrimination power of data envelopment analysis (DEA) models will be much weakened if too many input or output indicators are used. It is a dilemma if decision makers wish to select comprehensive indicators, which often have some hierarchical structures, to present a relatively holistic evaluation using DEA. In this paper we show that it is possible to develop DEA models that utilize hierarchical structures of input-output data so that they are able to handle quite large numbers of inputs and outputs. We present two approaches in a pilot evaluation of 15 institutes for basic research in the Chinese Academy of Sciences using the DEA models. (C) 2008 Elsevier Ltd. All rights reserved.
KeywordHierarchical Structures Discrimination Power Dea Research Evaluation
Subject AreaManagement ; Operations Research & Management Science
Indexed BySCI
Language英语
WOS IDWOS:000255311800004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.casisd.cn/handle/190111/4699
Collection中国科学院科技政策与管理科学研究所(1985年6月-2015年12月)
Recommended Citation
GB/T 7714
Meng, W,Zhang, DQ,Qi, L,et al. Two-level DEA approaches in research evaluation[J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE,2008,36(6):8,950-957.
APA Meng, W,Zhang, DQ,Qi, L,&Liu, WB.(2008).Two-level DEA approaches in research evaluation.OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE,36(6),8,950-957.
MLA Meng, W,et al."Two-level DEA approaches in research evaluation".OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 36.6(2008):8,950-957.
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