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New non-radial models for merger and acquisition to achieve strong efficiency and MPSS without changing in the efficient frontier | ||
| Journal of Mathematical Modeling | ||
| دوره 14، شماره 1، خرداد 2026، صفحه 35-55 اصل مقاله (316.63 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22124/jmm.2025.30974.2781 | ||
| نویسندگان | ||
| Ali Reza Fakharzadeh Jahromi* ؛ Hassan Rostamzadeh | ||
| Department of Mathematics, Shiraz University of Technology, Shiraz, Iran | ||
| چکیده | ||
| In this study, new models for the merger of two or more inefficient units are presented. The discussed mergers in this study are horizontal and acquisition mergers. In the presented models, unlike the previously presented models, the mergers are done non-radially; indeed, managers can manage each of the indicators separately in the presented new merger process. In this regard, efficient frontier of the production possibilities set does not change, and merger of several units does not affect the efficiency score of other decision-making units. Also, by merging via the new models one can obtain a strong efficient unit with the most productive scale size. The presented models are applied to the horizontal and acquisition merger of Iranian banks. | ||
| کلیدواژهها | ||
| Merger؛ acquisition؛ most productive scale size؛ strongly efficient؛ efficient frontier | ||
| مراجع | ||
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[1] A. Al-Sharkas, M. Hassan, S. Lawrence, The impact of mergers and acquisitions on the efficiency of the US banking industry: further evidence, J. Bus. Finance Account. 35 (2008) 50-70. [2] G.R. Amin, A. Emrouznejad, Inverse linear programming in DEA, Int. J. Oper. Res. 4 (2007) 105-109. [3] G.R. Amin, A. Emrouznejad, S. Gattoufi, Minor and major consolidations in inverse DEA: Definition and determination, Comput. Ind. Eng. 103 (2017) 193-200. [4] G.R. Amin, M. Ibn Boamah, A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks, Ann. Oper. Res. 295 (2020) 21-36. [5] G.R. Amin, A. Oukil, Flexible target setting in mergers using inverse data envelopment analysis, Int. J. Oper. Res. 35 (2019) 301-317. [6] R.D. Banker, A. Charnes, W.W. Cooper, Some models for estimating technical and scale inefficiencies in data envelopment analysis, Manage. Sci. 30 (1984) 1078–1092. [7] S. Blancard, J.P. Boussemart, J.P. Chavas, H. Leleu, Potential gains from specialization and diversification further to the reorganization of activities, Omega 63 (2016) 60-68. [8] P. Bogetoft, D. Wang, Estimating the potential gains from mergers, J. Prod. Anal. 23 (2005) 145-171. [9] A. Charnes, W. Cooper, E. Rhodes, Measuring the efficiency of decision-making units, Eur. J. Oper. Res. 2 (1978) 429-444. [10] T.S. Chang, J.G. Lin, J. Ouenniche, DEA-based Nash bargaining approach to merger target selection, Eur. J. Oper. Res. 305 (2023) 930-945. [11] J.A. Cherian, R.A. Jarrow, Chapter 20 Market manipulation, in: R.A. Jarrow, V. Maksimovic, W.T. Ziemba (Eds.), Handbooks in Operations Research and Management Science, 9 (1995) 611-630. [12] W. Cooper, M. Seiford, K. Tone, Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software, Springer Sci. Bus. Media, 2007. [13] A.R. Fakharzadeh Jahromi, H. Rostamzadeh, M.H. Mojtabaei, Designing and evaluating an optimal budget plan for parallel network systems through DEA methodology, J. Math. Model. 11 (2023) 665-680. [14] S. Gattoufi, G.R. Amin, A. Emrouznejad, A new inverse DEA method for merging banks, IMA J. Manag. Math. 25 (2014) 73-87. [15] P.A. Gaughan, Maximizing Corporate Value Through Mergers and Acquisitions: A Strategic Growth Guide, John Wiley & Sons, 2013. [16] P.M. Healy, K.G. Palepu, R.S. Ruback, Does corporate performance improve after mergers?, J. Financ. Econ. 31 (1992) 135-175. [17] Iran Banking Institute, Banks performance report, Central Bank of Iran, 2022. Available at: https://ibi.ac.ir/news/2630-report-1400 (accessed 20 July 2022). [18] M. Khoveyni, R. Eslami, Merging two-stage series network structures: A DEA-based approach, OR Spectr. 44 (2022) 273-302. [19] S. Lozano, Using DEA to find the best partner for a horizontal cooperation, Comput. Ind. Eng. 66 (2013) 286-292. [20] S. Lozano, L. Contreras, Size efficiency, splits and merger gains, and centralized resource reallocation of Spanish public universities, Socio-Econ. Plann. Sci. 81 (2022) 101-190. [21] S. Lozano, G. Villa, DEA-based pre-merger planning tool, J. Oper. Res. Soc. 61 (2010) 1485-1497. [22] P.C. Pendharkar, A potential use of data envelopment analysis for the inverse classification problem, Omega 30 (2002) 243-248. [23] M. Pyra, A. Siedlecka, Potential benefits from university mergers: an attempt to evaluate future efficiency levels with a selected DEA model, Eur. Res. Stud. J. 25 (2022) 665-683. [24] S.A. Rhoades, The efficiency effects of bank mergers: an overview of case studies of nine mergers, J. Bank. Finance 22 (1998) 273-291. [25] M. Salehi, M. Alipour, E-banking in emerging economy: empirical evidence of Iran, Int. J. Econ. Finance 2 (2010) 201-209. [26] S. Shaffer, Can mega mergers improve bank efficiency?, J. Bank. Finance 17 (1993) 423-436. [27] M. Soltanifar, M. Ghiyasi, H. Sharaf, Inverse DEA-R models for merger analysis with negative data, IMA J. Manag. Math., 34 (2023) 491-510. [28] K. Tone, A simple characterization of returns to scale in DEA, J. Oper. Res. Soc. Japan 39 (1996) 604-613. [29] Q. Wei, J. Zhang, X. Zhang, An inverse DEA model for inputs/outputs estimate, Eur. Res. Stud. J. 121 (2000) 151-163. [30] World Bank, World Bank open data, 2018. Available at: https://data.worldbank.org. [31] J. Wu, Q. An, L. Liang, Mergers and acquisitions based on DEA approach, Int. J. Appl. Manag. Sci. 3 (2011) 227-240. [32] S. Xiao, Y. Li, A. Emrouznejad, J. Xie, L. Liang, Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model, J. Oper. Res. Soc. 68 (2017) 1045-1055. [33] J. Zhu, Profitability and marketability of the top 55 U.S. commercial banks, Manage. Sci. 45 (1999) 1270-1288. [34] Q. Zhu, X. Li, F. Li, A. Amirteimoori, Data-driven approach to find the best partner for merger and acquisitions in banking industry, Ind. Manage. Data Syst. 121 (2021) 879-893. | ||
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