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

J. Mingers; W. Liu; W. Meng

doi:10.1057/palgrave.jors.2602542

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

J. Mingers, W. Liu, W. Meng

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

This paper reports on an innovative combination of hard and soft methodssoft 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.

Original language	English
Pages (from-to)	168-179
Number of pages	12
Journal	Journal of the Operational Research Society
Volume	60
Issue number	2
DOIs	https://doi.org/10.1057/palgrave.jors.2602542
State	Published - Feb 2009
Externally published	Yes

Keywords

Chinese Academy of Sciences
Data envelopment analysis (DEA)
Performance evaluation
Research
Soft systems methodology (SSM)

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10.1057/palgrave.jors.2602542

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abstract = "This paper reports on an innovative combination of hard and soft methodssoft 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.",

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AB - This paper reports on an innovative combination of hard and soft methodssoft 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.

KW - Chinese Academy of Sciences

KW - Data envelopment analysis (DEA)

KW - Performance evaluation

KW - Research

KW - Soft systems methodology (SSM)

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JF - Journal of the Operational Research Society

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ER -

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

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Keywords

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