IDEAS home Printed from https://ideas.repec.org/a/taf/jbemgt/v17y2016i6p1205-1221.html
   My bibliography  Save this article

Geomarketing models in supermarket location strategies

Author

Listed:
  • Amparo Baviera-Puig
  • Juan Buitrago-Vera
  • Carmen Escriba-Perez

Abstract

Choosing where to open a new outlet is a critical decision for retail firms. Building on the multiplicative competitive interaction model from retail location theory, this paper develops a geomarketing model that can be used to devise supermarket location strategies. First, attributes that explain a supermarket’s pull on consumers were determined. These attributes included objective (taken from databases and empirical observation) and subjective (based on managerial judgements) variables relating to the supermarket and its trade area. Then, geographic information system tools were used to analyse real data at a highly detailed level (road section). From a geomarketing viewpoint, the model shows that sociodemographic characteristics of the supermarket’s trade area affect firms’ location strategies. The paper also discusses improvements for calibrating and validating this model. Adding the spatial organization of supermarkets to the model yields a different consumer behaviour pattern. This geomarketing model can help managers to design supermarket location strategies according to shop features, competitors and environment, whilst estimating supermarket sales.

Suggested Citation

  • Amparo Baviera-Puig & Juan Buitrago-Vera & Carmen Escriba-Perez, 2016. "Geomarketing models in supermarket location strategies," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1205-1221, November.
  • Handle: RePEc:taf:jbemgt:v:17:y:2016:i:6:p:1205-1221
    DOI: 10.3846/16111699.2015.1113198
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.3846/16111699.2015.1113198
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.3846/16111699.2015.1113198?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thrall, Grant Ian, 2002. "Business Geography and New Real Estate Market Analysis," OUP Catalogue, Oxford University Press, number 9780195076363, Decembrie.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thomas Wieland, 2023. "Spatial shopping behavior during the Corona pandemic: insights from a micro-econometric store choice model for consumer electronics and furniture retailing in Germany," Journal of Geographical Systems, Springer, vol. 25(2), pages 291-326, April.
    2. Di Wu & Zhenning Xu & Seung Bach, 2023. "Using Google Trends to predict and forecast avocado sales," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 629-641, December.
    3. Ceren Erdin & Halil Emre Akbaş, 2019. "A Comparative Analysis of Fuzzy TOPSIS and Geographic Information Systems (GIS) for the Location Selection of Shopping Malls: A Case Study from Turkey," Sustainability, MDPI, vol. 11(14), pages 1-22, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cellmer Radosław, 2023. "Local Amenities – Spatial Modelling of Market Potential Based on Open Data," Real Estate Management and Valuation, Sciendo, vol. 31(4), pages 57-64, December.
    2. Dubrovsky, Valery & Yaroshevich, Natalya & Kuzmin, Evgeny, 2016. "Transactional approach in assessment of operational performance of companies in transport infrastructure," MPRA Paper 72001, University Library of Munich, Germany.
    3. Kerasia Milaka & Yorgos Photis, 2004. "Defining a geographically weighted regression model of urban evolution. Application to the city of Volos, Greece," ERSA conference papers ersa04p507, European Regional Science Association.
    4. Lockwood, Tony & Coffee, Neil T & Rossini, Peter & Niyonsenga, Theo & McGreal, Stanley, 2018. "Does where you live influence your socio-economic status?," Land Use Policy, Elsevier, vol. 72(C), pages 152-160.
    5. Karande, Kiran & Lombard, John R, 2005. "Location strategies of broad-line retailers: an empirical investigation," Journal of Business Research, Elsevier, vol. 58(5), pages 687-695, May.
    6. Daniel Kohlert, 2010. "The determinants of regional real estate returns in the United Kingdom: a vector error correction approach," Journal of Property Research, Taylor & Francis Journals, vol. 27(1), pages 87-117, June.
    7. Prashant Das & Patrick Smith & Paul Gallimore, 2018. "Pricing Extreme Attributes in Commercial Real Estate: the Case of Hotel Transactions," The Journal of Real Estate Finance and Economics, Springer, vol. 57(2), pages 264-296, August.
    8. Jorrit Sennema, 2010. "Industrial Property Analysis from an Investor's Perspective: The Case of Orange County, California," NEURUS papers neurusp145, NEURUS - Network of European and US Regional and Urban Studies.
    9. Karsten Lieser & Alexander Groh, 2014. "The Determinants of International Commercial Real Estate Investment," The Journal of Real Estate Finance and Economics, Springer, vol. 48(4), pages 611-659, May.
    10. Winky K O Ho, 2005. "Modeling the Dynamics of the Hong Kong Office Market under Economic Structural Change," Environment and Planning B, , vol. 32(1), pages 111-125, February.
    11. Robert A. Beauregard, 2005. "The Textures of Property Markets: Downtown Housing and Office Conversions in New York City," Urban Studies, Urban Studies Journal Limited, vol. 42(13), pages 2431-2445, December.
    12. C.M. Lizieri, 2003. "Occupier Requirements in Commercial Real Estate Markets," Urban Studies, Urban Studies Journal Limited, vol. 40(5-6), pages 1151-1169, May.
    13. Yiming Wang, 2011. "White flight in Los Angeles county, 1960–1990: a model of fuzzy tipping," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 111-129, August.
    14. Lieser, Karsten & Groh, Alexander P., 2011. "The determinants of international commercial real estate investments," IESE Research Papers D/935, IESE Business School.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jbemgt:v:17:y:2016:i:6:p:1205-1221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TBEM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.