The use of supply chain DEA models in operations management: A survey

Standard Data Envelopment Analysis (DEA) approach is used to evaluate the efficiency of DMUs and treats its internal structures as a “black box”. The aim of this paper is twofold. The first task is to survey and classify supply chain DEA models which investigate these internal structures. The second aim is to point out the significance of these models for the decision maker of a supply chain. We analyze the simple case of these models which is the two-stage models and a few more general models such as network DEA models. Furthermore, we study some variations of these models such as models with only intermediate measures between first and second stage and models with exogenous inputs in the second stage. We define four categories: typical, relational, network and game theoretic DEA models. We present each category along with its mathematical formulations, main applications and possible connections with other categories. Finally, we present some concluding remarks and opportunities for future research.Supply chain; Data envelopment analysis; Two-stage structures; Network structures

On Modelling Non-Performing Loans in Bank Efficiency Analysis

This paper introduces a methodological framework for the examination of non-performing loans as reverse outputs under the extended strong disposability assumption, which does not require non-performing loans to be jointly produced with net loans, as it is implied when they are modeled as undesirable outputs. A directional distance function model with reverse outputs is used and is compared to the models that treat non-performing loans as an undesirable output under the weak disposability and the constrained weak disposability assumptions with uniform and non-uniform abatement factors. The model is applied at the case of European banks and for the sample to be representative the banks are chosen based on the European Banking Authority (EBA) stress test of 2021. The results indicate that the reverse output model has greater discriminatory power relative to all other models

On Modelling Non-Performing Loans in Bank Efficiency Analysis

This paper introduces a methodological framework for the examination of non-performing loans as reverse outputs under the extended strong disposability assumption, which does not require non-performing loans to be jointly produced with net loans, as it is implied when they are modeled as undesirable outputs. A directional distance function model with reverse outputs is used and is compared to the models that treat non-performing loans as an undesirable output under the weak disposability and the constrained weak disposability assumptions with uniform and non-uniform abatement factors. The model is applied at the case of European banks and for the sample to be representative the banks are chosen based on the European Banking Authority (EBA) stress test of 2021. The results indicate that the reverse output model has greater discriminatory power relative to all other models

An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency

This paper uses Data Envelopment Analysis (DEA) model formulations in order to determine the performance levels of 16 departments of the University of Thessaly. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance measurements of the 16 departments. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The paper provides the efficient departments and the target values which need to be adopted from the inefficient departments in order to operate in the most productive scale size (MPSS). Moreover it provides bias corrected estimates alongside with their confidence intervals. The analysis indicates that there are strong inefficiencies among the departments, emphasizing the misallocation of resources or/and inefficient application of departments policy developments.University efficiency; DEA; Bootstrap techniques; Kernel density estimation, Economic research; Europe; University rankings.

Productivity Growth in Network Models:An Application to Banking During the Financial Crisis

We construct Malmquist Productivity indices for two-stage processes. A two-stage data envelopment analysis model with an additive efficiency decomposition is used for the modeling of the two-stage process. We incorporate prior information into the analysis using the Weight Assurance Region model. This model offers advantages such as the weights representing the contribution of each stage to the overall process are always positive and we also can restrict them into a region given the available prior information. We extend this model from efficiency analysis to productivity analysis and we calculate Malmquist Productivity indices using four alternative decomposition approaches. The model is applied to a panel of banks in Central and Eastern European countries and productivity change is evaluated for three periods of the financial crisis. The alternative decompositions allow us to examine the various sources of productivity change during the financial crisis. Convergence patterns are also examined

An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency

This paper uses Data Envelopment Analysis (DEA) model formulations in order to determine the performance levels of 16 departments of the University of Thessaly. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance measurements of the 16 departments. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The paper provides the efficient departments and the target values which need to be adopted from the inefficient departments in order to operate in the most productive scale size (MPSS). Moreover it provides bias corrected estimates alongside with their confidence intervals. The analysis indicates that there are strong inefficiencies among the departments, emphasizing the misallocation of resources or/and inefficient application of departments policy developments

Investigating bank efficiency in transition economies:A window-based weight assurance region approach

This paper examines the efficiency of 116 banks for nine new EU members in Central and Eastern European (CEE) countries over the period 2004–2015. We employ the weight assurance region (WAR) and we treat deposits as an intermediate variable in a two-stage data-envelopment analysis model. We then expand the WAR model by including a window-based approach to take into account the patterns of efficiency over time. The results indicate a low level of efficiency over the entire period of analysis, especially for Eastern European and Balkan countries rather than Central European countries. Overall, we find that inefficiency in CEE countries is mainly driven by the profitability stage rather than the value added activity stage

Integration of tourism markets in Australia:An international visitor arrivals’ convergence assessment

By applying the methodological framework of transition modeling and econometric convergence tests introduced by Phillips and Sul, we reveal the existence of convergence clubs and transition convergence paths of international visitor arrivals for Australia. Specifically, by using monthly data of international arrivals over the period of January 1991 to September 2017, we provide evidence that tourism markets can integrate. The analysis suggests the identification of five distinct convergence clubs. This in turn signifies an integration phenomenon of Australia’s tourism market, which is revealed through the different convergence patterns of international visitor arrivals. Finally, it is evident that the revealed integration behavior of Australia’s international tourism market will enable policy makers to target better tourism needs through customized policies. </jats:p