This paper presents a new data envelopment analysis (DEA) target setting approach that
uses the compromise programming (CP) method of multiobjective optimization. This method …

Abstract Directional Distance Function (DDF) is an approach often used in data
envelopment analysis (DEA) due to its clear interpretation and to the flexibility provided by …

Profit inefficiency is conventionally decomposed into two mutually exclusive components
representing profit loss due to technical inefficiency, and, through duality theory, a residual …

The hyperbolic distance function (HDF) reduces all inputs and increases all outputs
simultaneously and at the same rate. Although the corresponding data envelopment …

Abstract Formula One (F1) World Championship has become one of the most successful
sport tournaments over the last decade. Races take place in modern-day closed racing …

In this chapter, we present the classic approach to calculate and decompose cost and
revenue efficiency based on Shephard's radial input and output distance functions. These …

The birth of the directional distance function as an inefficiency measure was linked to the
consumer theory work developed by Luenberger in the early 1900s. Luenberger (1992a) …

In this chapter, we summarize the analytical framework found in the book by presenting the
main concepts in an intuitive and accessible way while relying on supporting graphical …

The canonical model of perfect competition, resulting in social welfare maximization,
assumes all kinds of technical and allocative inefficiencies away. In equilibrium, economic …

The reverse directional distance function, shortly RDDF, is a relatively recent concept
introduced by Pastor et al.(2016). It is an apparently simple idea and, at the same time, a …