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dc.creatorMartínez Torres, María del Rocíoes
dc.creatorToral, S. L.es
dc.date.accessioned2016-04-05T08:04:47Z
dc.date.available2016-04-05T08:04:47Z
dc.date.issued2010
dc.identifier.citationMartínez Torres, M.d.R. y Toral, S.L. (2010). Strategic group identification using evolutionary computation. Expert Systems with Applications, 37 (7), 4948-4954.es
dc.identifier.issn0957-4174es
dc.identifier.urihttp://hdl.handle.net/11441/39475
dc.description.abstractThis paper proposes to identify strategic groups among franchisors from a big set of franchisor variables. Genetic evolutionary computation was used to reduce a set of variables efficiently, and factor analysis was used to make up the strategic groups. Franchise 500 was used as database. The results suggest both that the general map of franchisor has changed since Carney and Gedajlovic’s study, and that genetic evolutionary computation is a valid way to extract knowledge from a huge set of data. This paper proposes useful information for those retail firms considering internationalization via franchising. The originality of this paper is in the use of Genetic Algorithm to discriminate the final set of variables to be used for the identification of strategic groups instead of evaluating one by one the adequacy of each variable theoretically. The ability of evolutionary computation to create new knowledge is good to produce new insights into this topices
dc.formatapplication/pdfes
dc.language.isoenges
dc.relation.ispartofExpert Systems with Applications, 37(7), 4948-4954es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFranchisinges
dc.subjectStrategic groupses
dc.subjectGenetic Algorithmses
dc.subjectEvolutionary computationes
dc.subjectPerformancees
dc.titleStrategic group identification using evolutionary computationes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Administración de Empresas y Comercialización e Investigación de Mercados (Marketing)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Electrónicaes
dc.identifier.doi10.1016/j.eswa.2009.12.019es
dc.journaltitleExpert Systems with Applicationses
dc.publication.volumen37es
dc.publication.issue7es
dc.publication.initialPage4948es
dc.publication.endPage4954es
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/39475

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