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Nonparametric frontier analysis with multiple constituencies
- Source :
- Journal of the Operational Research Society. 56:252-266
- Publication Year :
- 2005
- Publisher :
- Informa UK Limited, 2005.
-
Abstract
- We introduce a methodology for generalizing Data Envelopment Analysis (DEA) to incorporate the role and impact of constituencies in the classification of the model's attributes. Constituencies determine whether entities' attributes in a DEA study are treated as desirable or undesirable. This extension of DEA is the basis for a methodology to answer questions that arise such as: Which constituencies find what entities efficient? Which entities are in the efficient frontier for a specified constituency? and What benchmarking prescriptions apply to inefficient entities for a given constituency? Constituencies allow new applications for DEA analyses of public projects to determine their impact on voters and marketing studies where a product defined by multiple attributes is analysed with respect to diverse markets, are two examples of the type of application for the new methodology. We introduce a DEA LP especially formulated for this new framework with many desirable properties. The new methodology is motivated and validated with a cost–benefit analysis application for a public project.
- Subjects :
- Competitive intelligence
Operations research
Generalization
Computer science
Strategy and Management
0211 other engineering and technologies
02 engineering and technology
Management Science and Operations Research
Management Information Systems
Frontier
0202 electrical engineering, electronic engineering, information engineering
By-product
Data envelopment analysis
Information system
Product (category theory)
Project management
Marketing
021103 operations research
Cost–benefit analysis
business.industry
Information technology
Efficient frontier
Benchmarking
Purchasing
020201 artificial intelligence & image processing
business
Subjects
Details
- ISSN :
- 14769360 and 01605682
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- Journal of the Operational Research Society
- Accession number :
- edsair.doi...........d3e9a670a2b7b3d6daf0cf4516405525