Two-level DEA approaches in research evaluation
Meng, W; Zhang, DQ; Qi, L; Liu, WB
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
WOS IDWOS:000255311800004
Citation statistics
Cited Times:54[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
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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