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Improving Service Performance in Banking using Quality Adjusted Data Envelopment Analysis

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Abstract

The goal of this research is to describe the application of data envelopment analysis (DEA) to the performance evaluations of bank branches. Special attention is focused on how to incorporate the quality dimension into branch efficiency. DEA will apply to a set of micro-data from a Czech commercial bank branch network. In the banking sector, providing services quality is one of the key focuses. Therefore, the quality dimension should be incorporated into the DEA model. The goal of the quality adjusted DEA model is to identify best practice branches that work efficiently and at the same time provide services with high quality. This model avoids productivity-quality tradeoff, which is present by the standard DEA model. The quality of services is measured by customer service, mystery shopping and calls, client information index, retention, and client product penetration. Main determinants of efficiency and quality level are branch size and region via purchasing power.

Suggested Citation

  • Juraj Kopecsni, 2010. "Improving Service Performance in Banking using Quality Adjusted Data Envelopment Analysis," Working Papers IES 2010/06, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2010.
  • Handle: RePEc:fau:wpaper:wp2010_10
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    File URL: http://ies.fsv.cuni.cz/default/file/download/id/13646
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    Cited by:

    1. Rodrigo Gómez Monge, 2012. "El sector bancario en México, los depósitos a plazo y las cuentas de ahorro: un análisis de eficiencia durante el periodo de internacionalización a través de la envolvente de datos (dea)," REVISTA CIENCIAS ESTRATÉGICAS, UNIVERSIDAD PONTIFICIA BOLIVARIANA, June.

    More about this item

    Keywords

    quality adjusted DEA; branch performance; scale efficiency; return to scale;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L8 - Industrial Organization - - Industry Studies: Services

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