INCREASINGLY, their use of resources IBRARIES A R E ASKED T O JUSTIFY in terms of producing meaningful services and impacts to the users and the parent organizations. This study applied an analytical technique called Data Envelopment Analysis (DEA) to calculate the relative technical efficiency of ninety-five academic research libraries that are members of the Association of Research Libraries....

Cross-efficiency evaluation is an effective way of ranking decision making units (DMUs) in data envelopment analysis (DEA). Existing approaches for cross-efficiency evaluation are mainly focused on the calculation of cross-efficiency matrix, but pay little attention to the aggregation of the efficiencies in the cross-efficiency matrix. The most widely used approach is to aggregate the efficienc...

We establish global regularity results for a wide class of non-linear higher order parabolic systems. The model problem we have in mind is the parabolic p-Laplacian system of order 2m, m≥ 1, ∂tu+(−1) divm (|Dmu|p−2Dmu) = 0 with prescribed boundary and initial values. We prove that if the boundary values are sufficiently regular, then Dmu is globally integrable to a better power than the natural...

A significant theme in data envelopment analysis (DEA) is the stability of returns to scale (RTS) classification of specific decision making unit (DMU) which is under observed production possibility set. In this study the observed DMUs are public postal operators (PPOs) in European Union member states and Serbia as a candidate country. We demonstrated a sensitivity analysis of the inefficient P...

Abstract: Data Envelopment Analysis (DEA) is a mathematical programming method for the assessment of relative efficiency of a set of Decision Making Units (DMUs) that use several inputs to produce several outputs. It measures the efficiency of each Decision Making Unit (DMU) by maximizing the ratio of virtual output to virtual input with the constraint that the ratio does not exceed one for eac...

|||||||||||||||||||||||||||||||Abstract One important issue in DEA which has been studied by many DEA researchers is the sensitivity analysis of a speci c DMUo, the unit under evaluation. Moreover, we know that in most models of DEA, the best DMUs have the e ciency score of unity. In some realistic situations, the performance of some ine cient DMUs is similar to that of e cient ones. In this pa...

This research identifies returns to scale (RTS) of efficient decision making units (DMUs) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new DEA (data envelopment analysis) approach. In this study, we first introduce a new input-output oriented model to determine efficient DMUs in the presence of undesirable factors and then, returns to scale of these DMUs are es...

data envelopment analysis (dea) is an eciency measurement tool for evaluation of similar decision making units (dmus). in dea, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. in traditional dea models, this measure is also equivalent with relative eciency score which evaluates dmus in com...