Purpose This paper aims to present two-stage network models in the presence of stochastic
ratio data. Design/methodology/approach Black-box, free-link and fix-link techniques are …

Efficient financing is a key focus of enterprises and financial institutions. Using the DEA-BCC
method and panel Tobit model to construct a basic regression model and moderating effect …

The data envelopment analysis (DEA) technique is used to identify the strengths and
weaknesses of a set of decision-maker units. In this technique for each decisionmaking unit …

In the real world we are confronted with many cases where the ratio of input/output data is so
important for managers, so in this regard we cannot use traditional Data Envelopment …

Data envelopment analysis (DEA) is a technique to measure the performance of decision-
making units (DMUs). Conventional DEA treats DMUs as black boxes and the internal …

In this paper, we propose inverse data envelopment analysis (DEA) models in the presence
of ratio data. We present the inputs/output estimation process based on ratio based DEA …

Abstract Accepted by: Ali Emrouznejad In many real-world scenarios, decision makers often
rely on data available in ratio form. Under the data envelopment analysis (DEA) framework …

The human development index (HDI) of the United Nations Development Programme
(UNDP) has been subject to criticism since 1990 due to several reasons. These include the …

In some organizations, performance evaluation is measured using ratios such as the ratio of
outputs to inputs or vice versa (leverage ratio and quick ratio). While a handful of papers …

In this paper, we develop different types of strategic alliance and business cooperation
between different decision-making units (DMUs) based on ratio-based data envelopment …