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dc.contributor.author | Baviera Puig, Maria Amparo | es_ES |
dc.contributor.author | Buitrago Vera, Juan Manuel | es_ES |
dc.contributor.author | Escribá Pérez, Carmen | es_ES |
dc.date.accessioned | 2017-02-28T15:08:26Z | |
dc.date.available | 2017-02-28T15:08:26Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 1611-1699 | |
dc.identifier.uri | http://hdl.handle.net/10251/78375 | |
dc.description.abstract | [EN] 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. | es_ES |
dc.description.sponsorship | The authors would like to thank the Consum-Universitat Politècnica de València Chair (Cátedra) for collaborating in this study. | |
dc.language | Inglés | es_ES |
dc.publisher | Taylor & Francis: SSH Journals | es_ES |
dc.relation.ispartof | Journal of Business Economics and Management | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Geomarketing | es_ES |
dc.subject | Retail location theory | es_ES |
dc.subject | Geographic information systems (GIS) | es_ES |
dc.subject | Multiplicative competitive interaction model (MCI) | es_ES |
dc.subject | Business planning | es_ES |
dc.subject | Trade area | es_ES |
dc.subject | Neural networks | es_ES |
dc.subject | Spatial organization. | es_ES |
dc.subject.classification | ECONOMIA, SOCIOLOGIA Y POLITICA AGRARIA | es_ES |
dc.subject.classification | COMERCIALIZACION E INVESTIGACION DE MERCADOS | es_ES |
dc.title | Geomarketing models in supermarket location strategies | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3846/16111699.2015.1113198 | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.description.bibliographicCitation | Baviera Puig, MA.; Buitrago Vera, JM.; Escribá Pérez, C. (2016). Geomarketing models in supermarket location strategies. Journal of Business Economics and Management. 17(6):1205-1221. doi:10.3846/16111699.2015.1113198 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.3846/16111699.2015.1113198 | es_ES |
dc.description.upvformatpinicio | 1205 | es_ES |
dc.description.upvformatpfin | 1221 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 17 | es_ES |
dc.description.issue | 6 | es_ES |
dc.relation.senia | 322747 | es_ES |
dc.identifier.eissn | 2029-4433 | |
dc.description.references | Applebaum, W. (1966). Methods for Determining Store Trade Areas, Market Penetration, and Potential Sales. Journal of Marketing Research, 3(2), 127. doi:10.2307/3150201 | es_ES |
dc.description.references | Baviera-Puig, A., Roig-Tierno, N., Buitrago-Vera, J., & Mas-Verdu, F. (2013). Comparing trade areas of technology centres using ‘Geographical Information Systems’. The Service Industries Journal, 33(7-8), 789-801. doi:10.1080/02642069.2013.740467 | es_ES |
dc.description.references | Blattberg, R. C., & Hoch, S. J. (1990). Database Models and Managerial Intuition: 50% Model + 50% Manager. Management Science, 36(8), 887-899. doi:10.1287/mnsc.36.8.887 | es_ES |
dc.description.references | Campo, K., Gijsbrechts, E., Goossens, T., & Verhetsel, A. (2000). The impact of location factors on the attractiveness and optimal space shares of product categories. International Journal of Research in Marketing, 17(4), 255-279. doi:10.1016/s0167-8116(00)00026-4 | es_ES |
dc.description.references | Cheng, E. W. L., Li, H., & Yu, L. (2007). A GIS approach to shopping mall location selection. Building and Environment, 42(2), 884-892. doi:10.1016/j.buildenv.2005.10.010 | es_ES |
dc.description.references | Clarke, G. (1998). GeoJournal, 45(4), 289-298. doi:10.1023/a:1006995106736 | es_ES |
dc.description.references | Cliquet, G. (1990). La mise en uvre du modele interactif de concurrence spatiale (MICS) subjectif. Recherche et Applications en Marketing, 5(1), 3-18. doi:10.1177/076737019000500101 | es_ES |
dc.description.references | Cliquet, G. (1995). Implementing a subjective MCI model: An application to the furniture market. European Journal of Operational Research, 84(2), 279-291. doi:10.1016/0377-2217(93)e0313-m | es_ES |
dc.description.references | Colome, R. 2002. Consumer choice in competitive location models: PhD thesis. Universidad Pompeu Fabra, Barcelona. | es_ES |
dc.description.references | Cooper, L. G., & Nakanishi, M. (1983). Standardizing Variables in Multiplicative Choice Models. Journal of Consumer Research, 10(1), 96. doi:10.1086/208948 | es_ES |
dc.description.references | De Beule, M., Van den Poel, D., & Van de Weghe, N. (2014). An extended Huff-model for robustly benchmarking and predicting retail network performance. Applied Geography, 46, 80-89. doi:10.1016/j.apgeog.2013.09.026 | es_ES |
dc.description.references | Drezner, T., & Drezner, Z. (2002). Annals of Operations Research, 111(1/4), 227-237. doi:10.1023/a:1020910021280 | es_ES |
dc.description.references | Dussart, C. (1998). Category management: European Management Journal, 16(1), 50-62. doi:10.1016/s0263-2373(97)00073-x | es_ES |
dc.description.references | Gautschi, D. A. (1981). Specification of Patronage Models for Retail Center Choice. Journal of Marketing Research, 18(2), 162. doi:10.2307/3150951 | es_ES |
dc.description.references | Ghosh, A. (1984). Parameter nonstationarity in retail choice models. Journal of Business Research, 12(4), 425-436. doi:10.1016/0148-2963(84)90023-7 | es_ES |
dc.description.references | Ghosh, A., Neslin, S., & Shoemaker, R. (1984). A Comparison of Market Share Models and Estimation Procedures. Journal of Marketing Research, 21(2), 202. doi:10.2307/3151702 | es_ES |
dc.description.references | González-Benito, Ó., Greatorex, M., & Muñoz-Gallego, P. A. (2000). Assessment of potential retail segmentation variables An approach based on a subjective MCI resource allocation model. Journal of Retailing and Consumer Services, 7(3), 171-179. doi:10.1016/s0969-6989(99)00026-0 | es_ES |
dc.description.references | Grewal, D., Levy, M., Mehrotra, A., & Sharma, A. (1999). Planning merchandising decisions to account for regional and product assortment differences. Journal of Retailing, 75(3), 405-424. doi:10.1016/s0022-4359(99)00015-9 | es_ES |
dc.description.references | Huff, D. L. (1964). Defining and Estimating a Trading Area. Journal of Marketing, 28(3), 34. doi:10.2307/1249154 | es_ES |
dc.description.references | Kim, H., & Choi, B. (2013). The Influence of Customer Experience Quality on Customers’ Behavioral Intentions. Services Marketing Quarterly, 34(4), 322-338. doi:10.1080/15332969.2013.827068 | es_ES |
dc.description.references | Klapper, D., & Herwartz, H. (2000). Forecasting market share using predicted values of competitive behavior: further empirical results. International Journal of Forecasting, 16(3), 399-421. doi:10.1016/s0169-2070(00)00052-2 | es_ES |
dc.description.references | Kumar, V., & Karande, K. (2000). The Effect of Retail Store Environment on Retailer Performance. Journal of Business Research, 49(2), 167-181. doi:10.1016/s0148-2963(99)00005-3 | es_ES |
dc.description.references | Li, Y., & Liu, L. (2012). Assessing the impact of retail location on store performance: A comparison of Wal-Mart and Kmart stores in Cincinnati. Applied Geography, 32(2), 591-600. doi:10.1016/j.apgeog.2011.07.006 | es_ES |
dc.description.references | Mahajan, V., Jain, A. K., & Ratchford, B. T. (1978). Use of Binary Attributes in the Multiplicative Competitive Interactive Choice Model. Journal of Consumer Research, 5(3), 210. doi:10.1086/208733 | es_ES |
dc.description.references | Mendes, A. B., & Themido, I. H. (2004). Multi-outlet retail site location assessment. International Transactions in Operational Research, 11(1), 1-18. doi:10.1111/j.1475-3995.2004.00436.x | es_ES |
dc.description.references | Merino, M., & Ramirez-Nafarrate, A. (2016). Estimation of retail sales under competitive location in Mexico. Journal of Business Research, 69(2), 445-451. doi:10.1016/j.jbusres.2015.06.050 | es_ES |
dc.description.references | Murad, A. A. (2003). Creating a GIS application for retail centers in Jeddah city. International Journal of Applied Earth Observation and Geoinformation, 4(4), 329-338. doi:10.1016/s0303-2434(03)00020-5 | es_ES |
dc.description.references | Nakanishi, M., & Cooper, L. G. (1974). Parameter Estimation for a Multiplicative Competitive Interaction Model: Least Squares Approach. Journal of Marketing Research, 11(3), 303. doi:10.2307/3151146 | es_ES |
dc.description.references | Nakanishi, M., & Cooper, L. G. (1982). Technical Note—Simplified Estimation Procedures for MCI Models. Marketing Science, 1(3), 314-322. doi:10.1287/mksc.1.3.314 | es_ES |
dc.description.references | Nakanishi, M., Cooper, L. G., & Kassarjian, H. H. (1974). Voting for a Political Candidate Under Conditions of Minimal Information. Journal of Consumer Research, 1(2), 36. doi:10.1086/208589 | es_ES |
dc.description.references | Roig-Tierno, N., Baviera-Puig, A., Buitrago-Vera, J., & Mas-Verdu, F. (2013). The retail site location decision process using GIS and the analytical hierarchy process. Applied Geography, 40, 191-198. doi:10.1016/j.apgeog.2013.03.005 | es_ES |
dc.description.references | Smith, L. D., & Sanchez, S. (2003). Assessment of business potential at retail sites: empirical findings from a US supermarket chain. The International Review of Retail, Distribution and Consumer Research, 13(1), 37-58. doi:10.1080/0959396032000051684 | es_ES |
dc.description.references | Suárez-Vega, R., Gutiérrez-Acuña, J. L., & Rodríguez-Díaz, M. (2014). Locating a supermarket using a locally calibrated Huff model. International Journal of Geographical Information Science, 29(2), 217-233. doi:10.1080/13658816.2014.958154 | es_ES |
dc.description.references | Vigneau, E., Charles, M., & Chen, M. (2014). External preference segmentation with additional information on consumers: A case study on apples. Food Quality and Preference, 32, 83-92. doi:10.1016/j.foodqual.2013.05.007 | es_ES |