DEA-based Nash bargaining approach to merger target selection

DOI10.1016/j.ejor.2022.06.017OpenAlexW4282919872MaRDI QIDQ2098072

Tsung-Sheng Chang, Ji-Gang Lin, Jamal Ouenniche

Publication date: 17 November 2022

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2022.06.017

zbMATH Keywords

data envelopment analysisvertical integrationNash bargaining gamehorizontal integrationmerger target selection

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Related Items (1)

Vertical integration of an online secondhand platform and a recycling platform under different power structures

Cites Work

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• Network data envelopment analysis. Foundations and extensions
• A bargaining game model for measuring performance of two-stage network structures
• Estimation of potential gains from mergers in multiple periods: a comparison of stochastic frontier analysis and data envelopment analysis
• Dea-based models for best partner selection for merger
• DEA-based pre-merger planning tool
• DEA and Cooperative Game Theory
• A new inverse DEA method for merging banks

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