Dávila-Aragón, Griselda
Main Affiliation
Preferred name
Dávila-Aragón, Griselda
Official Name
Dávila-Aragón, Griselda
ORCID
0000-0001-5268-5636
Researcher ID
ELY-9463-2022
Scopus Author ID
56957235600
14 results
Now showing 1 - 10 of 14
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Item type:Publication, Caracterización de la productividad de una empresa mexicana desarrolladora de tecnología mediante control difuso(Universidad Pablo de Olavide, 2022)47 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Reconstructing household financial well-being; The case of Mexican households(Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración, 2025); 40 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measuring familiness in private family firms : a bayesian network modelThe 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.25 3Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cálculo del valor en riesgo operacional mediante redes bayesianas para una empresa financiera(Universidad Nacional Autónoma de México, Facultad de Contaduría y Administración, 2016); ; Cruz Aranda, FernandoEl objetivo del presente trabajo es plantear la metodología basada en el uso de redes bayesianas (RB) para identificar y cuantificar los factores de riesgo operacional (RO) asociados al proceso de transacciones financieras a través de medios electrónicos en una empresa financiera. El modelo de RB desarrollado se ejemplifica con datos de eventos simulados en un periodo equivalente a seis años a partir de información proporcionada por expertos en este tipo de procesos. Lo anterior representa una de las principales ventajas del uso de RB, pues permiten modelar las relaciones causa-efecto entre los diferentes factores de riesgo operacional. Finalmente se realiza el cálculo del Valor en Riesgo Operacional (OpVaR) para el ejemplo, en el que se incorporan factores de interacción que no son considerados en el modelo tradicional, proporcionando mejores condiciones de credibilidad a este valor.25 3Scopus© Citations 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Financial prudential behavior and economic growthThe 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.28 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Digital consumer behavior and medical tourism: A regional analysis in MexicoMedical 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.40 5Scopus© Citations 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cálculo del Valor en Riesgo Operacional de una Empresa Aseguradora Mediante Redes BayesianasFue en los noventas cuando se definió el concepto de Riesgo Operacional, desde entonces las instituciones, sobre todo del sector financiero, están preocupadas en este tipo de riesgo dado que su exposición podría tener consecuencias fatales. En el caso del sector asegurador su estudió se origina debido al nuevo marco regulatorio Europeo de Solvencia II. El propósito de esta investigación es el desarrollo de una metodología basada en redes bayesianas que permita identificar y medir el riesgo operacional para poder determinar el requerimiento de capital de solvencia en el proceso de cotización de pólizas en línea de una aseguradora que incursionó recientemente en esta forma de operar. Para lo cual se diseñó un modelo de red bayesiana con distribuciones a priori y a posteriori que permitieran estimar la frecuencia y la severidad de las pérdidas, con las distribuciones a posteriori se realizó una estimación de la pérdida esperada para un periodo de un año, utilizando simulación Montecarlo.14 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dynamic effect of legal complexity on the value added tax in Mexico(Economics Bulletin, 2025); 2 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Medical Tourism in Mexico. Analysis of the Economic and Technological Model in the COVID-19 Pandemic EraIn the last decades, organizations have generated and exploited the data product of their operational activity using technological tools to support executives in decision-making, seeking to incorporate economic and social benefits. A key factor today to increase the competitiveness of service providers is taking advantage of the exponential increase in Internet purchases that has been further enhanced by the COVID-19 pandemic. The use of social networks as a means of reference and knowledge of recommendations based on the experience of other users, as well as the use of mobile applications, have contributed to exponentially exploding e-commerce and making it increasingly profitable for companies. This document analyzes the data obtained from various sources, in order to determine the behaviors and preferences related to medical tourism. The study seeks to determine which are the main factors that allow predicting consumption habits and leading the various options for socially responsible medical tourism through the use of advanced analytical and artificial intelligence tools, in order to identify the most attractive alternatives to benefit consumers in an adverse environment like the one the world is facing because of the global pandemic caused by COVID-19, which represents a significant challenge for most industries, but also generates new opportunities with significant benefits for those who know how to take advantage of them.21 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Knowledge Management for Open Innovation: Bayesian Networks through Machine LearningKnowledge management within organizations allows to support a global business strategy and represents a systemic and organized attempt to use knowledge within an organization to improve its performance. The objective of this research is to study and analyze knowledge management through Bayesian networks with machine learning techniques, for which a model is made to identify and quantify the various factors that affect the correct management of knowledge in an organization, allowing you to generate value. As a case study, a technology-based services company in Mexico City is analyzed. The evidence found shows the optimal and non-optimal management of knowledge management, and its various factors, through the causality of the variables, allowing us to more adequately capture the interrelationship to manage it. The results show that the most relevant factors for having adequate knowledge management are information management, relational capital, intellectual capital, quality and risk management, and technology assimilation. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Scopus© Citations 24 39 4