Paper Info
Title
Output-specific input-assurance regions in DEA.
Abstract
The use of assurance region (AR) constraints to restrict multipliers in data envelopment analysis (DEA) is well-established, and has been discussed at length in the literature. The conventional assumption in imposing such restrictions is that they apply universally. Specifically, AR constraints on input multipliers are intended to control the relative importance of the individual inputs in terms of how they impact the entire bundle of outputs. In many settings the relative importance of inputs is different for some of the outputs than for others. A typical example of this in the financial services sector is where the importance of sales staff versus service staff is different in regard to sales outputs than is true for service outputs. In this paper we develop a general DEA framework that incorporates multiple input-AR structures that cater to multiple output classes. We examine the cases of both divisible and indivisible inputs, and as well as mutually exclusive and overlapping output sets. The concepts are applied to a financial services situation. Journal of the Operational Research Society (2011) 62, 1881-1887. doi:10.1057/jors.2010.150 Published online 27 October 2010
Year
DOI
Venue
2011
10.1057/jors.2010.150
JORS
Keywords
Field
DocType
financial services,data envelope analysis
Information system,Computer science,Information technology,Scheduling (computing),Operations research,Financial services,Purchasing,Data envelopment analysis,restrict,Operations management,Project management
Journal
Volume
Issue
ISSN
62
10
0160-5682
Citations 
PageRank 
References 
2
0.37
0
Authors
2
Name
Order
Citations
PageRank
Wade D. Cook1121584.70
Joe Zhu21762167.31