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

J Mingers (), W Liu and W Meng
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J Mingers: University of Kent
W Liu: University of Kent
W Meng: Institute of Policy and Management, Chinese Academy of Sciences

Journal of the Operational Research Society, 2009, vol. 60, issue 2, 168-179

Abstract: Abstract 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.

Keywords: Chinese Academy of Sciences; data envelopment analysis (DEA); performance evaluation; research; soft systems methodology (SSM) (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (11)

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DOI: 10.1057/palgrave.jors.2602542

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