Economic sustainability in franchising: a model to predict franchisor success or failure

As 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...

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Autores: Calderón Monge, Esther, Pastor Sanz, Iván, Huerta Zavala, Pilar Angélica
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Burgos (UBU)
Repositorio:Repositorio Institucional de la Universidad de Burgos (RIUBU)
OAI Identifier:oai:riubu.ubu.es:10259/4598
Acceso en línea:http://hdl.handle.net/10259/4598
Access Level:acceso abierto
Palabra clave:Franchise
Survival
Economic sustainability
Lasso regression model
Spain
Gestión de empresas
Industrial management
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spelling Economic sustainability in franchising: a model to predict franchisor success or failureCalderón Monge, EstherPastor Sanz, IvánHuerta Zavala, Pilar AngélicaFranchiseSurvivalEconomic sustainabilityLasso regression modelSpainGestión de empresasIndustrial managementAs 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.MDPI201720172017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10259/4598reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)instname:Universidad de Burgos (UBU)InglésSustainability. 2017, V. 9, n. 8, art. 1419https://doi.org/10.3390/su9081419Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riubu.ubu.es:10259/45982026-05-28T07:56:11Z
dc.title.none.fl_str_mv Economic sustainability in franchising: a model to predict franchisor success or failure
title Economic sustainability in franchising: a model to predict franchisor success or failure
spellingShingle Economic sustainability in franchising: a model to predict franchisor success or failure
Calderón Monge, Esther
Franchise
Survival
Economic sustainability
Lasso regression model
Spain
Gestión de empresas
Industrial management
title_short Economic sustainability in franchising: a model to predict franchisor success or failure
title_full Economic sustainability in franchising: a model to predict franchisor success or failure
title_fullStr Economic sustainability in franchising: a model to predict franchisor success or failure
title_full_unstemmed Economic sustainability in franchising: a model to predict franchisor success or failure
title_sort Economic sustainability in franchising: a model to predict franchisor success or failure
dc.creator.none.fl_str_mv Calderón Monge, Esther
Pastor Sanz, Iván
Huerta Zavala, Pilar Angélica
author Calderón Monge, Esther
author_facet Calderón Monge, Esther
Pastor Sanz, Iván
Huerta Zavala, Pilar Angélica
author_role author
author2 Pastor Sanz, Iván
Huerta Zavala, Pilar Angélica
author2_role author
author
dc.subject.none.fl_str_mv Franchise
Survival
Economic sustainability
Lasso regression model
Spain
Gestión de empresas
Industrial management
topic Franchise
Survival
Economic sustainability
Lasso regression model
Spain
Gestión de empresas
Industrial management
description As 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10259/4598
url http://hdl.handle.net/10259/4598
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sustainability. 2017, V. 9, n. 8, art. 1419
https://doi.org/10.3390/su9081419
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname:Universidad de Burgos (UBU)
instname_str Universidad de Burgos (UBU)
reponame_str Repositorio Institucional de la Universidad de Burgos (RIUBU)
collection Repositorio Institucional de la Universidad de Burgos (RIUBU)
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