The evolution of the COVID‐19 pandemic is highly unpredictable; however, its impacts are
limited to neither a single sector nor a single country. This study evaluates the performance …

In the conventional data envelopment analysis (DEA) window analysis, a decision-making
unit (DMU) in each window is treated as different units in each period so that the evaluation …

There is evidence that ICT developments can improve bank efficiency and performance.
Previous studies often employ data envelopment analysis (DEA) to first examine bank …

This paper evaluates the operating efficiency of accounting firms from five perspectives of
human resource allocations by sampling a total of 42 large accounting firms listed in the …

Micro, small and medium enterprises (MSMEs) dominate the business landscape and create
more than half of employment worldwide. How we can apply big data analytical tools such …

The σ-μ efficiency methodology has been recently introduced for multicriteria evaluation
problems, based on the framework of Stochastic Multi-Attribute Acceptability analysis …

This paper examines the multi-dimensional efficiency of the Islamic banking sector and its
determinants, including the impacts of the COVID-19 pandemic. To do that, we use a novel …

Combining the systemic indicators of sustainable agriculture provided by the Indicateurs de
Durabilité des Exploitations Agricoles (IDEA) framework and the pairwise comparison …

Drinking water treatment systems (DWTSs) are energy intensive facilities, and are an
example of the water-energy nexus. Benchmarking energy efficiency is a valuable tool for …

Data envelopment analysis (DEA) strives to evaluate the production units under their best
conditions. DEA flexibility in selecting the appropriate input/output weights always results in …