2026-05-31T01:15:29Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/45982024-05-13T07:59:29Zcom_10259_4596com_10259.4_2574com_10259.4_106com_10259_2604col_10259_4597

Calderón Monge, Esther Pastor Sanz, Iván Huerta Zavala, Pilar Angélica 2017-09-12T08:43:55Z 2017-09-12T08:43:55Z 2017-08 2071-1050 http://hdl.handle.net/10259/4598 10.3390/su9081419 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. eng http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Attribution 4.0 International Franchise Survival Economic sustainability Lasso regression model Spain Economic sustainability in franchising: a model to predict franchisor success or failure info:eu-repo/semantics/article