We demonstrate that stakeholder-oriented multi-criteria analysis (MCA) can adequately address a variety of sustainable development dilemmas in decision-making, especially when applied to complex project evaluations involving multiple objectives and multiple stakeholder groups. Such evaluations...

Congestion is a widely observed economic phenomenon where outputs are reduced due to excessive amount of inputs. The previous approaches to identify congestion in nonparametric analysis only consider desirable outputs. In the production process, undesirable outputs are usually jointly produced...

This study measures the performance of participating nations at the Olympics, considering the quest for medals as a two-stage Olympic process. The first stage is characterized as athlete preparation (AP) and the second stage as athlete competition (AC). We extend the relational model from the...

Endogeneity, and the distortions on the estimation of economic models that it causes, is a usual problem in the econometrics literature. Although non-parametric methods like Data Envelopment Analysis (DEA) are among the most used techniques for measuring technical efficiency, the effects of such...

Operational Research (OR) techniques have been applied, from the early stages of the discipline, to a wide variety of issues in education. At the government level, these include questions of what resources should be allocated to education as a whole and how these should be divided amongst the...

It has recently been shown that the incorporation of weight restrictions in models of data envelopment analysis (DEA) may induce free or unlimited production of output vectors in the underlying production technology, which is expressly disallowed by standard production assumptions. This effect...

In this paper, firm profit loss is decomposed as the sum of two terms related to the output price uncertainty (price expectation error and risk preference), plus one extra term expressing technical inefficiency. We then describe the implementation of our theoretical model in a robust data...

This paper describes a methodology that aims to enhance statistical inference in data envelopment analysis (DEA). In order to incorporate statistical properties in a DEA analysis we propose a combined application of a chance constrained DEA (CCDEA) model that is integrated with a stochastic...

This paper uses Monte Carlo Data Envelopment Analysis (Monte Carlo DEA) to evaluate the relative technical efficiency of small health care areas in probabilistic terms with respect to both mental health care as well as the efficiency of the whole system. Taking into account that the number of...

Hard data alone are not sufficient to evaluate local police effectiveness in the new age of community policing. Citizens can provide useful feedback regarding strengths and weaknesses of police operations. However, citizen satisfaction indicators typically fail to accurately convey the...