Modelling generalized firms' restructuring using inverse DEA


The key consideration for firms’ restructuring is improving their operational efficiencies. Market conditions often offer opportunities or generate threats that can be handled by restructuring scenarios through consolidation, to create synergy, or through split, to create reverse synergy. A generalized restructuring refers to a move in a business market where a homogeneous set of firms, a set of pre-restructuring decision making units (DMUs), proceed with a restructuring to produce a new set of post-restructuring entities in the same market to realize efficiency targets. This paper aims to develop a novel inverse Data Envelopment Analysis based methodology, called GInvDEA (Generalized Inverse DEA), for modeling the generalized restructuring. Moreover, the paper suggests a linear programming model that allows determining the lowest performance levels, measured by efficiency that can be achieved through a given generalized restructuring. An application in banking operations illustrates the theory developed in the paper.

Publication DOI:
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: The final publication is available at Springer via
Uncontrolled Keywords: generalized restructuring,split,consolidation,efficiency,inverse DEA,data envelopment analysis,DEA,Business and International Management,Social Sciences (miscellaneous),Economics and Econometrics
Publication ISSN: 1573-0441
Last Modified: 17 Apr 2024 07:14
Date Deposited: 02 May 2017 15:15
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2017-08
Published Online Date: 2017-05-05
Accepted Date: 2017-04-01
Authors: Amin, Gholam R.
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)
Gattoufi, Said



Version: Accepted Version

| Preview

Export / Share Citation


Additional statistics for this record