... the data envelopment analysis (DEA) variant known as profiling. The representative input and output variables considered in these eight subdivisions are moves made during the matches. However, the actions football teams perform, irrespective of their type, are not the result of a standardised procedure...

... is believed to exhibit increasing marginal product. We appreciate helpful comments from Rajiv Banker, the editor-in-chief, Mark Anderson, two anonymous reviewers, and participants of the 16th International Conference on Data Envelopment Analysis at Wuhan, China. All errors are our own. Han-Up Park...

...Violeta Cvetkoska; Gordana Savic Data Envelopment Analysis (DEA) is a popular non-parametric frontier methodology for measuring the efficiency of decision-making units (DMUs). DEA has been used widely in the banking industry. There is no reference to country co-authorship and keywords co-occurrence...

... production function. The non-parametric data envelopment analysis (DEA) has become an important tool for estimating the frontier production function. The production possibility set in DEA models is a polyhedral set that is a convex combination of extreme points and extreme rays. However, even for a modest...

...Mark Anderson; Rajiv D. Banker; Soonchul Hyun We validate the use of a three-stage approach using data envelopment analysis (DEA) for quantifying organizational ability and relating it to operating performance for a large sample of manufacturing plants operating in Canada. In our first stage, we...

... to their unique production approach. We use the banking-specific production function operating-based approach to estimate bank efficiency using Data Envelopment Analysis (DEA). We also identify and evaluate contextual factors as determinants of the relative technical efficiency using OLS. The estimated residuals...

...Pooja Bansal; Aparna Mehra The conventional data envelopment analysis (DEA) models consider the input and output data features to be continuous ignoring the natural presence of integer characteristic inherited by the input and output data in many real-life problems. In this study, we propose...

...Rajiv Banker; Finn R. Førsund; Daqun Zhang Regulators worldwide increasingly use data envelopment analysis (DEA) for the incentive regulation of electric distribution firms. Although the production/cost frontiers estimated by DEA models provide valuable information for electricity rate setting...

... higher productivity than smaller DSOs. One reason may be increased economies of scale partly due to the ongoing process of utilisation of smart grid technologies. © 2017 R. Amundsveen and H. M. Kvile 2017 R. Amundsveen and H. M. Kvile Licensed re-use rights only Data envelopment analysis...

..., or fitness. This paper introduces Altenberg’s generalized NK fitness landscapes, suggests the possibility that the production possibility set in data envelopment analysis (DEA) is a fitness landscape, and discusses the possible use of DEA to evaluate fitness landscapes and thus the fitness of R&D...

...Alexandros M. Theodoridis; Athanasios Ragkos In this study the technical efficiency level of dairy farms in Greece is estimated by imposing weight restrictions on the conventional data envelopment analysis (DEA) model. The assurance region approach is applied on farm record and accounting data from...

... in this paper are those of the author and do not necessarily reflect the views of the National Science Foundation. © 2015 K. P. Triantis 2015 K. P. Triantis Licensed re-use rights only Data envelopment analysis engineering design infrastructure system resilience and sustainability micro...