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Retail Network Performance Evaluation: A DEA Approach considering Retailers' Geomarketing

Author

Listed:
  • Dany Vyt

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

Abstract

Stores develop customized assortment based on localization characteristics. In terms of performance analysis, theses changes make more difficult to analyse store performance. This adjustment procedure entails an internal benchmarking which needs small samples to control regional and assortment effects. This paper explores the influence of competitive environment and store neighbourhood characteristics on store efficiency by using three data envelopment analysis models (DEA). This research is illustrated by using real data from a French supermarket retail chain at the product category level. It is showed that the two-steps DEA model is a relevant analysis tool to take into account location aspects. It presents a discriminant power strong enough to derive managerial implications with small samples.

Suggested Citation

  • Dany Vyt, 2008. "Retail Network Performance Evaluation: A DEA Approach considering Retailers' Geomarketing," Post-Print halshs-00271772, HAL.
    • Handle: RePEc:hal:journl:halshs-00271772
    as

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    Cited by:

    1. Almohri, Haidar & Chinnam, Ratna Babu & Colosimo, Mark, 2019. "Data-driven analytics for benchmarking and optimizing the performance of automotive dealerships," International Journal of Production Economics, Elsevier, vol. 213(C), pages 69-80.
    2. Alexander, Andrew & Teller, Christoph & Wood, Steve, 2020. "Augmenting the urban place brand – On the relationship between markets and town and city centres," Journal of Business Research, Elsevier, vol. 116(C), pages 642-654.

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