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Using SSM to Structure the Identification of Inputs and Outputs in DEA

Mingers, John, Liu, Wenbin, Meng, Wei (2009) Using SSM to Structure the Identification of Inputs and Outputs in DEA. Journal of the Operational Research Society, 60 (2). pp. 168-179. ISSN 0160-5682. (doi:10.1057/palgrave.jors.2602542) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:25452)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1057/palgrave.jors.2602542

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.

Item Type: Article
DOI/Identification number: 10.1057/palgrave.jors.2602542
Uncontrolled keywords: Chinese Academy of Sciences; data envelopment analysis (DEA); performance evaluation; research; soft systems methodology (SSM)
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Jennifer Knapp
Date Deposited: 02 Sep 2010 15:13 UTC
Last Modified: 16 Nov 2021 10:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/25452 (The current URI for this page, for reference purposes)

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