Abstract Data Envelopment Analysis (DEA) has emerged as a powerful analytical tool,
revolutionising the field of Operational Research (OR) and contributing to advancements in …

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 …

Performance assessment can play an effective role in providing quality services in
healthcare organizations. To develop and compete, hospitals need a performance …

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 …

The article aims at assessing the efficiency of 46 Baltic maritime container terminals using a
Data Envelopment Analysis Slack-Based Model (DEA-SBM) of three inputs (quay length …

This paper assesses the city-level performance of low-carbon transition and the
contributions of individual attributes to the percentage change of urban low-carbon transition …

Purpose Sustainable supplier selection is of vital importance in sustainability decision of
supply chain under carbon neutrality. Multi-criteria decision-making approaches are widely …

Analyzing the champions league teams via decision models | Emerald Insight Books and
journals Case studies Expert Briefings Open Access Publish with us Advanced search Analyzing …

This article proposes nonparametric and parametric methods for conducting meaningful
evaluations of academic programs. In particular, it proposes the use of data envelopment …

Conventional data envelopment analysis (DEA) models assume that all decision-making
units (DMUs) are homogenous. While higher education institutions (HEIs) of very different …