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COOPER-framework: A unified process for non-parametric projects

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Bibliographic Details
Title: COOPER-framework: A unified process for non-parametric projects
Authors: Ali Emrouznejad, Kristof De Witte
Source: European Journal of Operational Research. 207:1573-1586
Publisher Information: Elsevier BV, 2010.
Publication Year: 2010
Subject Terms: COOPER-framework, DEA, 0502 economics and business, 05 social sciences, 0211 other engineering and technologies, Unified process, Non-parametric efficiency analysis, 02 engineering and technology
Description: Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as Data Envelopment Analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the 'COOPER-framework' a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases: Concepts and objectives, On structuring data, Operational models, Performance comparison model, Evaluation, and Result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The COOPER-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly. © 2010 Elsevier B.V. All rights reserved.
Document Type: Article
File Description: application/pdf
Language: English
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2010.07.025
Access URL: https://publications.aston.ac.uk/id/eprint/19943/1/COOPER_framework.pdf
Rights: Elsevier TDM
Accession Number: edsair.doi.dedup.....f10192b9d9ab8fa1ccfc78acb3d9e66b
Database: OpenAIRE
Description
Abstract:Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as Data Envelopment Analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the 'COOPER-framework' a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases: Concepts and objectives, On structuring data, Operational models, Performance comparison model, Evaluation, and Result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The COOPER-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly. © 2010 Elsevier B.V. All rights reserved.
ISSN:03772217
DOI:10.1016/j.ejor.2010.07.025