Franchise Business Development Model: Theoretical Considerations

Franchising is not a popular business development form in Lithuania. Only 0.02% of all Lithuanian companies use franchising for business development, while in most of the developed countries franchise is recognized as a convenient business expansion form. So, what factors determine such differences in the use of franchising? Analysis of related literature showed, that mainly researchers analyse some aspects of franchising, however there is no systematized analysis which covers all the main franchise development elements. Therefore, the aim of this article is to systematize franchise business development phases, main elements and factors, influencing this process and to propose a theoretical franchise system development model. Thus, theoretical considerations about the main phases and elements of franchise system development as well as advantages and disadvantages of the system are analysed in the article. These theoretical considerations are generalized in theoretical franchise system development model, which shows, that development of franchise business consists of particular steps, starting from favourable conditions for the system to emerge; intention and ability of franchisor to form franchise based on his business; the establishment and initial development of franchise system; and its further functioning. The article does not test the model and even does not discuss the operationalization of it. Operationalization of the model as well as empirical evidence is presented by the authors in the forthcoming articles

Lucro líquido do franqueado: um sinal para a escolha de franquia em época de crise

Este artículo aborda desde la perspectiva de la Teoría de Señales la elección de una franquicia por un potencial franquiciado que elige este canal de distribución por primera vez. El objetivo es analizar la relación entre algunas señales enviadas por el franquiciador y la elección de una franquicia por el potencial franquiciado. Concluimos que los efectos de las variables macroeconómicas de España en el periodo 2006-2013 influyeron en los ingresos netos de los franquiciados para que se convirtiera en una señal empleada por éstos a la hora de elegir la franquicia donde abrir un establecimiento.This paper adopts the perspective of Theory of Signals to discuss how someone starting a business as a franchisee for the first time can choose a suitable franchise brand. The aim was to analyze the relationship between certain signals sent by the franchisor and the choice of a franchise brand by the prospective franchisee. Using panel data, we found that the effects of macroeconomic variables in Spain for the 2006-2013 crisis period influenced franchisees' net income, which thus became a relevant signal in their process of choosing a franchise brand to start a business.Sob a perspectiva da Teoria de Sinais, este artigo aborda a seleção de uma franquia por um franqueado que elege esse potencial canal de distribuição pela primeira vez. O objetivo é analisar a relação entre alguns sinais enviados pelo franqueador e a escolha de uma franquia pelo potencial franqueado. Usando a metodologia de dados em painel, os resultados obtidos nos permitiram concluir que os efeitos das variáveis macroeconômicas da Espanha no período de crise econômica (2006-2013) influenciaram as receitas líquidas dos franqueados, tornando-se um sinal para eles elegerem onde abrir um estabelecimento franqueado

Predicting singleton antepartum stillbirth by the demographic Fetal Medicine Foundation Risk Calculator—A retrospective case-control study

Objective To assess the risk of singleton intrauterine fetal death (IUFD) in women by the demographic setting of the online Fetal Medicine Foundation (FMF) Stillbirth Risk Calculator. Methods Retrospective single-centre case-control study involving 144 women having suffered IUFD and 247 women after delivery of a live-born singleton. Nonparametric receiver operating characteristics (ROC) analyses were performed to predict the prognostic power of the FMF Stillbirth risk score and to generate a cut-off value to discriminate best between the event of IUFD versus live birth. Results Women in the IUFD cohort born a significantly higher overall risk with a median FMF risk score of 0.45% (IQR 0.23–0.99) compared to controls [0.23% (IQR 0.21–0.29); p&lt;0.001]. Demographic factors contributing to an increased risk of IUFD in our cohort were maternal obesity (p = 0.002), smoking (p&lt;0.001), chronic hypertension (p = 0.015), antiphospholipid syndrome (p = 0.017), type 2 diabetes (p&lt;0.001), and insulin requirement (p&lt;0.001). ROC analyses showed an area under the curve (AUC) of 0.72 (95% CI 0.67–0.78; p&lt;0.001) for predicting overall IUFD and an AUC of 0.72 (95% CI 0.64–0.80; p&lt;0.001), respectively, for predicting IUFD excluding congenital malformations. The FMF risk score at a cut-off of 0.34% (OR 6.22; 95% CI 3.91–9.89; p&lt;0.001) yielded an 82% specificity and 58% sensitivity in predicting IUFD with a positive and negative predictive value of 0.94% and 99.84%, respectively. Conclusion The FMF Stillbirth Risk Calculator based upon maternal demographic and obstetric characteristics only may help identify women at low risk of antepartum stillbirth. </jats:sec