A Bargaining Game model for performance assessment in network DEA considering sub-networks:A real case study in Banking


Several network-data envelopment analysis (DEA) performance assessment models have been proposed in the literature; however, the conflicts between stages and insufficient number of decision-making units (DMUs) challenge the researchers. In this paper, a novel game-DEA model is proposed for efficiency assessment of network structure DMUs. We propose a two-stage modeling, where in the first stage network is divided into several sub-networks; we at the same time categorize input variables to measure efficiency of sub-networks within each input category. In the second stage, we calculate efficiency of the network by aggregating efficiency scores of sub-networks within each category. In this way, the issue of insufficient number of DMUs when there are many input/output variables can be handled as well. One of the main contributions of this paper is assuming each category and stage as a player in Nash bargaining game. Using the concept borrowed from Nash bargaining game model, the proposed game-DEA model tries to maximize distances of efficiency scores of each player form their corresponding breakdown points. The usefulness of the model is presented using a real case study to measure the efficiency of bank branches.

Publication DOI: https://doi.org/10.1007/s00521-018-3428-y
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School
Additional Information: © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords: Data envelopment analysis,Network DEA,Game DEA ,Bargaining game,Performance assessment,Additional inputs,Banking
Publication ISSN: 1433-3058
Last Modified: 08 Apr 2024 07:20
Date Deposited: 20 Mar 2018 08:40
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Related URLs: https://link.sp ... 0521-018-3428-y (Publisher URL)
PURE Output Type: Article
Published Date: 2019-10-07
Published Online Date: 2018-04-07
Accepted Date: 2018-03-12
Authors: Mahmoudi, Reza
Emrouznejad, Ali (ORCID Profile 0000-0001-8094-4244)
Rasti-Barzoki, Morteza



Version: Published Version

License: Creative Commons Attribution

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Version: Accepted Version

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