An insight into the model structures applied in DEA -based bank branch efficiency measurements

In this paper, we focus on the Data Envelopment Ana lysis (DEA)-based model structures that have been used in assessing bank br anch efficiency. Probing the methodologies of 75 published studies at the branch level since 1985 to early 2015, we found that these models can be divided int o four categories: standard basic DEA models, single level and multi-level mode ls, enriched (hybrid) models and special models. Also, summary statistics for DEA applications in bank branches from the perspectives of different me asurement approaches adopted by researchers andthe frequency of appearin g the models of each category in the literature of discussion are derive d and presented. The illustrated statistical comparisons show that the popularity of multi-level models than the single level models are on the rise. Furthermore, a s a result, we can conclude that from the perspective of performance measuremen t approaches applied to bank branches, the production approach is more wide ly used than the others.