Abstract
Over the last few years Data Envelopment Analysis (DEA) has been gaining increasing popularity as a tool for measuring efficiency and productivity of Decision Making Units (DMUs). Conventional DEA models assume non-negative inputs and outputs. However, in many real applications, some inputs and/or outputs can take negative values. Recently, Emrouznejad et al. [6] introduced a Semi-Oriented Radial Measure (SORM) for modelling DEA with negative data. This paper points out some issues in target setting with SORM models and introduces a modified SORM approach. An empirical study in bank sector demonstrates the applicability of the proposed model.
| Original language | English |
|---|---|
| Pages (from-to) | 152-158 |
| Number of pages | 7 |
| Journal | Measurement |
| Volume | 54 |
| Early online date | 30 Apr 2014 |
| DOIs | |
| Publication status | Published - Aug 2014 |
Keywords
- data envelopment analysis
- efficiency measurement
- negative data
- SORM model
- target setting
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