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dc.contributor.authorCalderón Monge, Esther 
dc.contributor.authorPastor Sanz, Ivan .
dc.contributor.authorHuerta Zavala, Pilar Angélica 
dc.date.accessioned2017-09-12T08:43:55Z
dc.date.available2017-09-12T08:43:55Z
dc.date.issued2017-08
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10259/4598
dc.description.abstractAs a business model, franchising makes a major contribution to gross domestic product (GDP). A model that predicts franchisor success or failure is therefore necessary to ensure economic sustainability. In this study, such a model was developed by applying Lasso regression to a sample of franchises operating between 2002 and 2013. For franchises with the highest likelihood of survival, the franchise fees and the ratio of company-owned to franchised outlets were suited to the age of the franchise. Surviving franchises were those that opened franchised outlets at a sustainable pace, increased the franchise fee as intangible assets increased, and effectively managed profitability and efficiency.en
dc.format.mimetypeapplication/pdf
dc.language.isoenges
dc.publisherMDPIen
dc.relation.ispartofSustainability. 2017, V. 9, n. 8, art. 1419en
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectFranchiseen
dc.subjectSurvivalen
dc.subjectEconomic sustainabilityen
dc.subjectLasso regression modelen
dc.subjectSpainen
dc.subject.otherEmpresas-Gestiónes
dc.subject.otherIndustrial managementen
dc.titleEconomic sustainability in franchising: a model to predict franchisor success or failureen
dc.typeArtículoes
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.relation.publisherversionhttps://doi.org/10.3390/su9081419
dc.identifier.doi10.3390/su9081419
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen


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