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A quasi-concave DEA model with an application for bank branch performance evaluation

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Cited by:

  1. F A F Ferreira & S P Santos & P M M Rodrigues, 2011. "Adding value to bank branch performance evaluation using cognitive maps and MCDA: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1320-1333, July.
  2. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  3. Hung-Tso Lin & Tsung-Yu Chou & Yen-Ting Chen & Yin-Chi Huang, 2014. "Profitability analysis using IDEA–DA framework," Annals of Operations Research, Springer, vol. 223(1), pages 291-308, December.
  4. Jesús Pastor & C. Lovell & Henry Tulkens, 2006. "Evaluating the financial performance of bank branches," Annals of Operations Research, Springer, vol. 145(1), pages 321-337, July.
  5. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
  6. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2018. "Measures of Labor Use Efficiency from a Cost-Based Dual Representation of the Technology: A Study of Indian Bank Branches," Working papers 2018-17, University of Connecticut, Department of Economics.
  7. Xiaohong Liu & Jiasen Sun & Feng Yang & Jie Wu, 2020. "How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 290(1), pages 983-1008, July.
  8. Podinovski, V. V., 2005. "Selective convexity in DEA models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 552-563, March.
  9. K. Tone & M. Tsutsui, 2015. "How to Deal with Non-Convex Frontiers in Data Envelopment Analysis," Journal of Optimization Theory and Applications, Springer, vol. 166(3), pages 1002-1028, September.
  10. Imad Bou-Hamad & Abdel Latef Anouze & Ibrahim H. Osman, 2022. "A cognitive analytics management framework to select input and output variables for data envelopment analysis modeling of performance efficiency of banks using random forest and entropy of information," Annals of Operations Research, Springer, vol. 308(1), pages 63-92, January.
  11. Paulo M.M. Rodrigues & Fernando A. F. Ferreira, 2011. "Evaluating retail banking quality service and convenience with MCDA techniques: a case study at the bank branch level," Working Papers w201131, Banco de Portugal, Economics and Research Department.
  12. Post, Thierry, 2001. "Transconcave data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 132(2), pages 374-389, July.
  13. Kuosmanen, Timo, 2001. "DEA with efficiency classification preserving conditional convexity," European Journal of Operational Research, Elsevier, vol. 132(2), pages 326-342, July.
  14. Kaoru Tone & Miki Tsutsui, 2013. "How to deal with S-shaped curve in DEA," GRIPS Discussion Papers 13-10, National Graduate Institute for Policy Studies.
  15. Podinovski, Victor V. & Kuosmanen, Timo, 2011. "Modelling weak disposability in data envelopment analysis under relaxed convexity assumptions," European Journal of Operational Research, Elsevier, vol. 211(3), pages 577-585, June.
  16. Mahabubur Rahman & Mary Lambkin & Dildar Hussain, 2016. "Value Creation and Appropriation following M&A," Post-Print hal-01477751, HAL.
  17. Rahman, Mahabubur & Lambkin, Mary & Hussain, Dildar, 2016. "Value creation and appropriation following M&A: A data envelopment analysis," Journal of Business Research, Elsevier, vol. 69(12), pages 5628-5635.
  18. Subhash C. Ray & Abhiman Das & Kankana Mukherjee, 2017. "Labor-Cost Efficiency with Indivisible Outputs and Inputs: A Study of Indian Bank Branches," Working papers 2017-04, University of Connecticut, Department of Economics.
  19. Kristjanpoller Rodríguez Werner & Saavedra Rodríguez Oscar, 2014. "La eficiencia técnica de los bancos durante la crisis Caso aplicado a la rentabilidad de la banca comercial en México y Chile," Contaduría y Administración, Accounting and Management, vol. 59(1), pages 95-122, enero-mar.
  20. Xiao, Helu & Zhou, Zhongbao & Ren, Teng & Liu, Wenbin, 2022. "Estimation of portfolio efficiency in nonconvex settings: A free disposal hull estimator with non-increasing returns to scale," Omega, Elsevier, vol. 111(C).
  21. Ahmet Kaya & Dragan Pamucar & Hasan Emin Gürler & Mehmet Ozcalici, 2024. "Determining the financial performance of the firms in the Borsa Istanbul sustainability index: integrating multi criteria decision making methods with simulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-44, December.
  22. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
  23. Wu, Po-Chin & Liu, Shiao-Yen & Zhai, Rui-Xiang, 2018. "Nonlinear impacts of operating risk and demand management policy on banks’ performance: The role of leading indicator," Economic Analysis and Policy, Elsevier, vol. 59(C), pages 40-53.
  24. Joseph Paradi & Sandra Vela & Haiyan Zhu, 2010. "Adjusting for cultural differences, a new DEA model applied to a merged bank," Journal of Productivity Analysis, Springer, vol. 33(2), pages 109-123, April.
  25. Hsiang-Hsi Liu & Tser-Yieth Chen & Jia-Wen Chen, 2013. "Incorporating the Credit Ranking Measure to Evaluate the Operating Efficiency of Financial Holding Companies in Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1386-1404, October.
  26. R H Green & W D Cook, 2004. "A free coordination hull approach to efficiency measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(10), pages 1059-1063, October.
  27. Laurens Cherchye & Timo Kuosmanen & Thierry Post, 2000. "What Is the Economic Meaning of FDH? A Reply to Thrall," Journal of Productivity Analysis, Springer, vol. 13(3), pages 263-267, May.
  28. Wai‐Peng Wong & Qiang Deng & Ming-Lang Tseng & Loo‐Hay Lee & Chee‐Wooi Hooy, 2014. "A Stochastic Setting To Bank Financial Performance For Refining Efficiency Estimates," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 225-245, October.
  29. Victor Podinovski, 2004. "Efficiency and Global Scale Characteristics on the “No Free Lunch” Assumption Only," Journal of Productivity Analysis, Springer, vol. 22(3), pages 227-257, November.
  30. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "Evaluating retail banking service quality and convenience with MCDA techniques: a case study at the bank branch level," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 1-21, February.
  31. Warda Nadeem & Nadeem Iqbal & Hassan Hanif, 2022. "Assessing the Determinants of Efficiency: An Empirical Evidence from Developing Economy," Journal of Economic Impact, Science Impact Publishers, vol. 4(1), pages 71-80.
  32. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(4), pages 708-728, September.
  33. Barnabé Walheer, 2020. "Output, input, and undesirable output interconnections in data envelopment analysis: convexity and returns-to-scale," Annals of Operations Research, Springer, vol. 284(1), pages 447-467, January.
  34. Gunjan M. Sanjeev, 2006. "Data Envelopment Analysis (Dea) for Measuring Technical Efficiency of Banks," Vision, , vol. 10(1), pages 13-27, January.
  35. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
  36. V V Podinovski, 2004. "Local and global returns to scale in performance measurement," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 170-178, February.
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