Soltanifar, M., M. Ghiyasi, A. Emrouznejad, and H. Sharafi (2024) A novel model for merger analysis and target setting: A CSW-Inverse DEA approach, Expert Systems With Applications 249: 123326, (doi)
Banking
Banking
Wanke, P., Y. Tan, J. Antunes, A. Emrouznejad (2024) Foreign Direct Investment Performance Drivers at the Country Level: A Robust Compromise Multi-Criteria Decision-Making Approach, Technological and Economic Development of Economy, 30 (1): 148–174.
Wanke, P., Y. Tan, J. Antunes, A. Emrouznejad (2024) Foreign Direct Investment Performance Drivers at the Country Level: A Robust Compromise Multi-Criteria Decision-Making Approach, Technological and Economic Development of Economy, 30 (1): 148–174. (doi).
Shi, X., L. Wang, A. Emrouznejad (2023) Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model, Socio-Economic Planning Sciences, 90: 101702
Shi, X., L. Wang, A. Emrouznejad (2023) Performance evaluation of Chinese commercial banks by an improved slacks-based DEA model, Socio-Economic Planning Sciences, 90: 101702 (doi).
Zhu C., N. Zhu, A. Emrouznejad,T. Ye (2024) A new Malmquist productivity index with an application to commercial banks, IMA Journal of Management Mathematics, 35 (2): 215–240
Zhu C., N. Zhu, A. Emrouznejad,T. Ye (2024) A new Malmquist productivity index with an application to commercial banks, IMA Journal of Management Mathematics, 35 (2): 215–240. (doi)
Omrani, H. , M. Shamsi, A. Emrouznejad, T. Teplova (2023) A robust DEA model under discrete scenarios for assessing bank branches, Expert Systems with Applications, 219: 119694.
Omrani, H. , M. Shamsi, A. Emrouznejad, T. Teplova (2023) A robust DEA model under discrete scenarios for assessing bank branches, Expert Systems with Applications, 219: 119694. (doi)
Boustani, N., A. Emrouznejad, R. Gholami, O. Despic, A. Ioannou (2024) Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks. Annals of Operations Research, 339: 613–630
Boustani, N., A. Emrouznejad, R. Gholami, O. Despic, A. Ioannou (2024) Improving the predictive accuracy of the cross-selling of consumer loans using deep learning networks. Annals of Operations Research, 339: 613–630. (doi)
Michali, M., A. Emrouznejad, A. Dehnokhalaji, and B. Cleg (2023) Subsampling Bootstrap in Network DEA, European Journal of Operational Research, 305 (2): 766-780.
Michali, M., A. Emrouznejad, A. Dehnokhalaji, and B. Cleg (2023) Subsampling Bootstrap in Network DEA, European Journal of Operational Research, 305 (2): 766-780. (doi)
Omrani, H., Z. Oveysi, A. Emrouznejad, and T. Teplova (2023). A Mixed Integer Network DEA with Shared Inputs and Undesirable Outputs for Performance Evaluation: Efficiency Measurement of Bank Branches. Journal of the Operational Research Society, 74 (2): 1150-1165.
Omrani, H., Z. Oveysi, A. Emrouznejad, and T. Teplova (2023). A Mixed Integer Network DEA with Shared Inputs and Undesirable Outputs for Performance Evaluation: Efficiency Measurement of Bank Branches. Journal of the Operational Research Society, 74 (2): 1150-1165. (doi)
Omrani, H., A. Emrouznejad, M. Shamsi and P. Fahimi (2022) Evaluation of Insurance Companies Considering Uncertainty: A Multi-Objective Network Data Envelopment Analysis Model with Negative Data and Undesirable Outputs, Socio-Economic Planning Sciences, 82 (B): 101306
Omrani, H., A. Emrouznejad, M. Shamsi and P. Fahimi (2022) Evaluation of Insurance Companies Considering Uncertainty: A Multi-Objective Network Data Envelopment Analysis Model with Negative Data and Undesirable Outputs, Socio-Economic Planning Sciences, 82 (B): 101306 (doi).
Omrani, H. A. Alizadeh, A. Emrouznejad, and Z. Oveysi (2023) A Novel Best-Worst-Method two-stage DEA model considering decision makers’ preferences: An application in bank branches evaluation, International Journal of Finance and Economics, 28(4), 3593–3610.
Omrani, H. A. Alizadeh, A. Emrouznejad, and Z. Oveysi (2023) A Novel Best-Worst-Method two-stage DEA model considering decision makers’ preferences: An application in bank branches evaluation, International Journal of Finance and Economics, 28(4), 3593–3610. (doi)