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Measuring familiness in private family firms : a bayesian network model

2018 , Dávila-Aragón, Griselda , Ramírez Pérez, Héctor Xavier , Rivas Aceves, Salvador

The objective of this analysis was to identify the causality among variables that originate the highest level of familiness in private family firms. The Bayesian Networks (BN) theory was applied to measure the effectiveness of resources and capabilities provided by the family members within a family business to understand causal relations among variables by using probabilistic reasoning throughout a graphic. Re­sults showed that if salary of family members was higher than salary of employees in the same position, if family members shared information among themselves, and if family firms presented family-employee bonds, there was an 83%, 70%, and 79% of probability of having a high level familiness, respectively. The limitation of the study is that any modification in the BN might show different outcomes. These findings expand the knowledge on family business discipline and suggest a path for family business’ leaders to increase familiness. If family firms want to strengthen their competitive advantage, the main variables they should focus, among all the resources and capabilities that represent familiness, are salaries of family members, sharing information, and family-employee bonds.

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Financial prudential behavior and economic growth

2020 , Rivas Aceves, Salvador , Dávila-Aragón, Griselda

The 2008 global financial crisis showed not only that there is a link between real economy and financial markets, but also that financial stability is necessary for investment, innovation and of course economic growth. Regarding the link between real and financial sectors, several studies long before the 2008 financial crisis revealed positive impacts from financial sector on real economy, basically because a solid financial system promote physic and human capital accumulation, see Banerjee and Newman (1993) Galor and Zeira (1993), Aghion and Bolton (1997), Piketty (1997), Levine (1997), Levine and Zervos (1998), Rajan and Zingales (1998). When considering well-developed financial markets as economic growth promoters the researches of Levine (2005), Aghion et al. (2005) and Acemoglu et al. (2006) proved that financial develop indeed accelerates economic growth.

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The Future of Companies in the Face of a New Reality : Impact and Development in Latin America

2021 , Dávila-Aragón, Griselda , Rivas Aceves, Salvador

This book analyzes the changes brought on to economic and business activities in Latin America due to the new scenarios, environments and social dynamics the world is facing as a result of the COVID-19 pandemic, at both micro- and macroeconomic levels. Recent changes to working environments has brought discussions on work-life balance to the forefront, and creating support mechanisms to attract and retain the next generation of workers has become a primary focus for talent managers. At an industry level, there are expectations that once the crisis passes, there will be massive capital inflows toward ESG investments in emerging markets driving the transformation of companies. Consequently, ESG business models will have a cascading effect in the whole supply chain (upstream, midstream and downstream) and will generate greater value for all stakeholders. At the same time, technologies of the fourth industrial revolution, such as Blockchain and Artificial Intelligence, have gradually been adopted by companies leading the charge in ESG business models. The financial sector has taken the lead in these two technologies, but the challenge generated by the COVID-19 pandemic forced other sectors to innovate rapidly in order to remain afloat. Using empirical and theoretical frameworks, the contributors in this book identify the most attractive alternatives to benefit consumers in an adverse environment like the one the world is facing as a result of the COVID-19 pandemic, which while posing a significant challenge for most industries, has also created new opportunities for innovation and ingenuity, analyzing case studies from the coffee and medical tourism sectors in particular. © Springer Nature

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Survival Likelihood of Micro and Small Businesses Facing a Catastrophe

2021 , Dávila-Aragón, Griselda , Rivas Aceves, Salvador , Ramírez Pérez, Héctor Xavier

This chapter proposes a measurement methodology throughout a Bayesian Network to quantify the survival probability of micro and small enterprises (MSEs) facing a catastrophic event, and to assess if a Business Continuity Plan (BCP) is a unique alternative to prevent companies from bankruptcy. Empirical evidence for a developing country shows the majority of companies are MSEs and without enough knowledge about a BCP; therefore, the likelihood of businesses’ survival will depend on BCP and several other elements that should be taken into account for owners when making decisions towards negative effects of catastrophic events. Results showed that for MSEs businesses with high face-to-face customer interaction, a BCP might be useful as well as the experience in crisis of the management team, but not as the only variable.