TY  - JOUR
AB  - Purpose Data envelopment analysis (DEA) calculates the efficiency of a business unit if all the inputs are creating outputs within a “black box.” Under traditional DEA, the detailed process of that business unit is ignored. However, a network DEA can explain the black box structure and provide efficiency results for sub-sections within any business process. This study aims to propose a network DEA model that explains a bank's total operation.Design/methodology/approach Earlier studies have focused only on bank efficiency ignoring this breakdown. This study departs from them by using a slack-based two-stage network DEA under a novel banking business perspective.Findings The results reveal that network DEA provides better benchmarking insights than the traditional DEA. As such, better benchmarking can guide both the banking industry managers and policy makers in Bangladesh.Originality/value The major contribution of this study includes dividing a bank's total operation efficiency into two sub-operations: “core operations – collecting deposits and giving loans” and “additional operations – fees, commissions and other services.”
VL  - 47
IS  - 5
SN  - 0144-3585
DO  - 10.1108/JES-01-2019-0029
UR  - https://doi.org/10.1108/JES-01-2019-0029
AU  - Azad Md. Abul Kalam
AU  - Wanke Peter
AU  - Raihan Mohammad Zahir
AU  - Anwar S.M. Rakibul
AU  - Mustafa Riduanul
PY  - 2020
Y1  - 2020/01/01
TI  - Bank efficiency in Bangladesh revisited: a slack-based network DEA approach
T2  - Journal of Economic Studies
PB  - Emerald Publishing Limited
SP  - 1001
EP  - 1014
Y2  - 2024/05/05
ER  -