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, 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, 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, La popularidad de las marcas y su valor económico en el marco de las finanzas corporativas: un análisis de aprendizaje máquina(2022); A lo largo del tiempo, la marca ha tomado un papel significativo en el ámbito empresarial, la percepción de la imagen comercial y el valor agregado. Este estudio está enfocado en explorar los componentes del concepto del valor de marca a partir de un diagnóstico y técnicas de aprendizaje máquina, para desarrollar una serie de modelos asociados a las dimensiones del valor de marca percibido desde un concepto más actual de la popularidad. La metodología de aprendizaje máquina, prioriza la predicción frente a la inferencia. No impone una especificación ni una teoría, a diferencia de la estadística clásica, donde se requiere especificar un modelo; esto representa una forma dinámica alternativa para entender cómo uno de los recursos más importantes de las empresas en el mercado está presente, lo que sin duda repercute en la gestión financiera y de riesgos de la empresa. Los resultados obtenidos mediante tres técnicas diferentes de aprendizaje máquina, muestran que las once variables propuestas en el estudio influyen positivamente con diferente intensidad en la popularidad de la marca.Scopus© Citations 1 38 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Future of Companies in the Face of a New Reality : Impact and Development in Latin AmericaThis 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 Nature42 7Scopus© Citations 6 - 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, 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 - 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, 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, Survival Likelihood of Micro and Small Businesses Facing a CatastropheThis 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.33 2Scopus© Citations 1 - 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