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 …

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 …

This paper is a review paper focusing on the methodological development of Data
Envelopment Analysis (DEA), a multi-factor performance measurement and improvement …

Sustainable supply chain is recognized as a key component of corporate responsibility.
Despite conventional data envelopment analysis (DEA) models that view decision making …

Purpose–The purpose of this paper is to prioritize service quality dimensions (SQDs) using
importance-performance analysis (IPA) and to compare the results for the customer groups …

There have been several major global outbreaks during the past decades, with the latest
being the worst. The COVID-19 pandemic has infected hundreds of thousands and killed …

Data envelopment analysis (DEA) is a method for measuring performance of decision
making units (DMUs). Conventional DEA models view DMUs as black boxes. Network DEA …

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 …

A non-parametric method of data envelopment analysis (DEA) was applied to analyze the
technical and scale efficiency of potato production in 23 Iranian provinces. In many real …

Evaluating the performance of service organizations like Water and Sewerage companies is
essential for optimal operations, high-quality service, and cost efficiency. This paper …