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...
| Autores: | , , |
|---|---|
| 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 |
| id |
ES_7a8dc6a3aa79cf3e5d9505dc601704f3 |
|---|---|
| oai_identifier_str |
oai:riubu.ubu.es:10259/4598 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| 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 |
| format |
article |
| status_str |
publishedVersion |
| 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) |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869411446987685888 |
| score |
15,300719 |