Using SSM to structure the identification of inputs and outputs in DEA

被引:21
|
作者
Mingers, J. [1 ]
Liu, W.
Meng, W. [2 ]
机构
[1] Univ Kent, Kent Business Sch, Canterbury CT5 7PE, Kent, England
[2] Chinese Acad Sci, Inst Policy & Management, Beijing, Peoples R China
关键词
Chinese Academy of Sciences; data envelopment analysis (DEA); performance evaluation; research; soft systems methodology (SSM); EFFICIENCY; METHODOLOGY; CHINA;
D O I
10.1057/palgrave.jors.2602542
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper reports on an innovative combination of hard and soft methods-soft systems methodology (SSM) with data envelopment analysis (DEA). Problems in defining and agreeing appropriate inputs and outputs for DEA led to the use of SSM as a way or producing a comprehensive and systemic database of performance indicators. The contributions of the paper are: the use of SSM to improve DEA specifications; conceptual clarifications within both SSM and DEA; and an innovative example of multimethodology. These developments are illustrated through a study evaluating the performance of the basic research institutes of the Chinese Academy of Sciences.
引用
收藏
页码:168 / 179
页数:12
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