Performance in retailing is usually evaluated by routine use of ratio analysis, but due to the univariate nature of this simple management tool there are many drawbacks to the obtained results. Therefore, the aim of this study is to demonstrate successful employment of parametric and non–parametric methods for evaluating technical performance in retailing. We also show how to utilize DEA results, when parametric methods do not satisfactorily perform due to their strict distributional assumptions. Results of this study are used to optimize the retail chain of a European mobile telecommunication network operator by providing estimates of and recommendations for improvements in the productive efficiency of the chain operations. Estimates of store–level technical and scale efficiency indicate that a majority of stores are operating in the decreasing returns to scale region of the production possibility set. The employed methodology allows us to identify input excesses and to address a means of reducing them.
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Paper provided by The Center for Economic Research and Graduate Education - Economic Institute, Prague in its series CERGE-EI Working Papers with number
wp273.
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Statistical Decision Theory; Operations Research D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
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