DEA, incepted in 80s, has emerged as a popular decision-making technique, for
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …

Data envelopment analysis (DEA) is a widely used mathematical programming approach for
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …

The current study proposes a new DEA model to evaluate the efficiency of 39 Chinese
commercial banks over the period 2010–2018. The paper also, in the second stage …

Our study contributes to the empirical literature in two ways: 1) We propose an innovative
Data Envelopment Analysis (DEA) model to estimate the cost efficiency of Chinese banks; 2) …

Although there is a growing number of research articles investigating the performance in the
banking industry, research on Chinese banking efficiency is rather focused on discussing …

Reduction of CO 2 emissions is a strategic priority for the construction industry, however
current schemes do not provide the level of performance that is required. There is also a lack …

Efficiency measurement plays an increasingly important role in the regulation and
management of railway organizations. Despite its proven usefulness in efficiency …

This paper develops two-stage inverse data envelopment analysis models with undesirable
outputs to formulate resource plans for 16 Chinese listed commercial banks whose outputs …

The importance of supplier selection is nowadays highlighted more than ever as companies
have realized that efficient supplier selection can significantly improve the performance of …

Although performance analysis has become a vital part of the banking industry, research on
the efficiency of Portuguese banking remains scarce and focused on discussing rankings to …