Ramírez Pérez, Héctor Xavier
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Ramírez Pérez, Héctor Xavier
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Ramírez Pérez, Héctor Xavier
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heramire
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56989868500

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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.

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Digital consumer behavior and medical tourism: A regional analysis in Mexico

2023 , Arrioja Castrejón, Edmundo , López-Fernández, Andreé Marie , Ramírez Pérez, Héctor Xavier , Dávila-Aragón, Griselda

Medical tourism has increasingly become an important alternative to receive healthcare services given medical systems’ limitations such as: treatment availability, access, and price. The industry has significantly grown with the availability of internet services and digital platforms which enable consumers to connect with service providers as well as other stakeholders around the world. And, considering medical tourism profiles related to travel frequency, expenditure, place, and degree of digital platform use, the question is how does digital platform use impact medical tourism consumer behavior related to the type of destination? Cluster analysis and georeferencing analytics were utilized to study the correlation between digital platform use and the preferred type of destination for medical tourism. The study shows a clear positive correlation between the variables compared.

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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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