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Estimation of retail sales under competitive location in Mexico

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  • Merino, María
  • Ramirez-Nafarrate, Adrian

Abstract

This study proposes a useful combination of a spatial interaction model and simulation approaches for the reliable estimation of retail interactions and store sales based on data of consumer shopping behavior. The real case study empirically demonstrates this approach by building an operational retail interaction model to estimate expenditure flows from households to retail stores in Mexico. The analysis compares the results from the proposed forecasting method to actual performance data. The forecasting accuracy is satisfactory even when little retail and consumer information is available.

Suggested Citation

  • Merino, María & Ramirez-Nafarrate, Adrian, 2016. "Estimation of retail sales under competitive location in Mexico," Journal of Business Research, Elsevier, vol. 69(2), pages 445-451.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:2:p:445-451
    DOI: 10.1016/j.jbusres.2015.06.050
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    References listed on IDEAS

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    Cited by:

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    2. Han, Shuihua & Jia, Xinyun & Chen, Xinming & Gupta, Shivam & Kumar, Ajay & Lin, Zhibin, 2022. "Search well and be wise: A machine learning approach to search for a profitable location," Journal of Business Research, Elsevier, vol. 144(C), pages 416-427.
    3. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
    4. Vikas Singla & Harpreet Rai, 2018. "Examining the Effectiveness of Huff Model in Store Performance Assessment," Jindal Journal of Business Research, , vol. 7(2), pages 122-134, December.

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