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Network Planning and Retail Store Segmentation: A Spatial Clustering Approach

Network Planning and Retail Store Segmentation: A Spatial Clustering Approach

Philip Bermingham, Tony Hernandez, Ian Clarke
Copyright: © 2013 |Volume: 4 |Issue: 1 |Pages: 13
ISSN: 1947-9654|EISSN: 1947-9662|EISBN13: 9781466630932|DOI: 10.4018/jagr.2013010105
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MLA

Bermingham, Philip, et al. "Network Planning and Retail Store Segmentation: A Spatial Clustering Approach." IJAGR vol.4, no.1 2013: pp.67-79. http://doi.org/10.4018/jagr.2013010105

APA

Bermingham, P., Hernandez, T., & Clarke, I. (2013). Network Planning and Retail Store Segmentation: A Spatial Clustering Approach. International Journal of Applied Geospatial Research (IJAGR), 4(1), 67-79. http://doi.org/10.4018/jagr.2013010105

Chicago

Bermingham, Philip, Tony Hernandez, and Ian Clarke. "Network Planning and Retail Store Segmentation: A Spatial Clustering Approach," International Journal of Applied Geospatial Research (IJAGR) 4, no.1: 67-79. http://doi.org/10.4018/jagr.2013010105

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Abstract

Store segmentation aims to divide a network of stores into meaningful groups, typically based on a combination of operational, site and trading environment characteristics. It is an increasingly important component within network planning activities of major retail chains due to the significant capital investment that is physically grounded in their large store networks. The paper outlines findings from case study research that has focused on developing spatial decision support tools that enable decision makers to explore, construct and visualize store segments. An integrated spatial statistical approach to store segmentation is detailed and associated benefits and shortfalls discussed. The paper highlights the potential to develop customised geospatial tools to support network planning decision making activities. It is argued that geospatial decision support tools need to be designed to accommodate the varying GIS skill-levels of potential end-users and that fundamentally more emphasis needs to be placed on creating tools that can be used by decision-makers as opposed to analysts.

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