Since the publication of the seminal paper by Charnes, Cooper and Rhodes on data envelopment analysis in 1978, the landscapes of both methodological and applied research on efficiency and productivity measurement, and performance evaluation and benchmarking have experienced substantial growth across a wide range of areas. The aim of this chapter is twofold. First, it provides a detailed account of DEA‐based contributions in the banking sector, with emphasis on commercial banks and static conventional DEA models – often referred to as black box models – starting with the first paper on DEA in banking, published in 1988, and covering all major contributions to date. Second, it provides a collection of snapshots of the landscape of this research area that we believe would be useful to any researcher or analyst concerned with assessing the efficiency profiles of commercial banks, on the one hand, and with the management of commercial banks, on the other hand.
|Title of host publication||Advances in DEA Theory and Applications: With Extensions to Forecasting Models|
|Number of pages||20|
|Publication status||Published - 6 May 2017|