In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Data envelopment analysis (DEA) is a technique for identifying the best practices of a given
set of decision-making units (DMUs) whose performance is categorized by multiple …

The assessment of transportation social sustainability appeals to many scholars as an
essential issue but imposes a risk of selecting inadequate factors and methods to measure …

The purpose of this study is to provide an efficient method for the selection of input–output
indicators in the data envelopment analysis (DEA) approach, in order to improve the …

In this paper, we propose a weighting scheme for constructing composite indicators based
on Shannon entropy. Its main advantages are that it delivers a set of common weights …

The paper aims to improve the methodology of measuring efficiency of Latvian banks.
Efficiency scores were calculated with application of non-parametric frontier technique Data …

This research offers a solution to a highly recognized and controversial problem within the
composite indicator literature: sub-indicators weighting. The research proposes a novel …

Though managerial efficiency is considered to be a key driver for successful execution of
projects, not much study is reported to measure and benchmark this efficiency. In this study …

One of the biggest challenge before the world today is to find a trade-off between high
energy demand and mitigation of greenhouse gas emissions. Researchers and energy …

In this paper, a method is proposed to calculate a comprehensive index that calculates the
ecological efficiency of a city by combining together the measurements provided by some …