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- Title
A new inverse data envelopment analysis model for mergers with negative data.
- Authors
AMIN, GHOLAM R.; AL-MUHARRAMI, SAEED
- Abstract
One of the important issues in a merger between two or more decision making units is identification of the levels of inherited inputs and outputs from merging units. This paper introduces new inverse data envelopment analysis models for target setting of a merger in the presence of negative data. It enables the merged entity to identify the levels of required inputs and outputs from merging units to realize an efficiency target. The applicability of the proposed method in this paper is illustrated through an example from banking; however, it can be used in other merger contexts.
- Subjects
DATA envelopment analysis; LINEAR programming; MERGER agreements; ASSET management; INDUSTRIAL management
- Publication
IMA Journal of Management Mathematics, 2018, Vol 29, Issue 2, p137
- ISSN
1471-678X
- Publication type
Article
- DOI
10.1093/imaman/dpw016