Terán-Bustamante, Antonia
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Preferred name
Terán-Bustamante, Antonia
Official Name
Terán Bustamante, Antonia
Alternative Name
ateran
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ORCID
Scopus Author ID
57221761294
Researcher ID
GIR-9607-2022

Research Output
Now showing 1 - 10 of 16
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Patrones de consumo alimentario con enfoque socialmente responsable

2024 , Leyva-Hernández, Sandra Nelly , Terán-Bustamante, Antonia , Arango-Ramírez, Paola Miriam

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Country-Level Environmental Performance: Investment, Education, and Research and Development

2024 , Leyva-Hernández, Sandra Nelly , Terán-Bustamante, Antonia

Background: Environmental deterioration has increased in recent years and is a worldwide concern. This study aims to analyze the influence of the resources and capacities of countries on their environmental performance. (2) Methods: A cross-sectional study using secondary data was carried out quantitatively. A linear regression analysis was carried out to determine significant factors in countries’ environmental performances. (3) Results: Education innovation and investment were associated with environmental performance; however, investment in a country did not affect the country’s performance. (4) ©MDPI

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Knowledge Management for Open Innovation: Bayesian Networks through Machine Learning

2021 , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora , Dávila-Aragón, Griselda

Knowledge 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.

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Patrones de consumo alimentario con enfoque socialmente responsable

2024-01-01 , Leyva-Hernández, Sandra Nelly , Terán-Bustamante, Antonia , Arango-Ramírez, Paola Miriam

A través del consumo socialmente responsable es posible para los países un crecimiento sostenible y el logro del objetivo 12 de la Agenda de las Naciones Unidas. Por lo cual, es importante conocer los patrones de consumo alimentario para el desarrollo de estrategias efectivas de comunicación, no obstante, después de la pandemia por COVID-19, los patrones de consumo se modificaron orientándose al cuidado de la salud y del ambiente, entre otros. Este estudio tiene como objetivo contribuir a la literatura sobre el consumo de alimentos socialmente responsables a través del desarrollo de la segmentación de estos, de acuerdo con sus patrones de conducta, después de la pandemia por COVID-19. Por medio de un estudio exploratorio y transversal, se recolectó una muestra de 834 adultos de la región metropolitana de la Ciudad de México. Se realizó un análisis por segmentación por análisis de conglomerados de dos pasos: Jerárquicos y de k-medias. Se identificaron tres segmentos de consumidores socialmente responsables: Los preocupados por el ambiente y la sociedad, los racionales, y los cuidadores de la salud. El conocimiento de las características de estos consumidores puede permitir el desarrollo de estrategias de marketing adecuadas y programas de política pública que impulsen este consumo. ©Revista de Ciencias Sociales (RCS). Facultad de Ciencias Económicas y Sociales. Universidad del Zulia

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Crédito hipotecario: un modelo predictivo de discriminación de riesgo

2023 , González-Rossano, Carlos , De la Torre Díaz, Lorena , Terán-Bustamante, Antonia

Diversos estudios demuestran la relación entre el acceso a la vivienda y la superación de la pobreza. Sin embargo, existe un rezago en el acceso a la vivienda digna en México y la falta de historial crediticio es una limitante para el acceso a créditos bancarios. El objetivo de la presente investigación es analizar los criterios de selección de crédito hipotecario y proponer un modelo de gestión de riesgos que permita a la banca financiar a un mayor número de personas en la adquisición o mejora de su vivienda. La estrategia metodológica se basa en técnicas de aprendizaje automático apoyadas en la ciencia de datos para crear un modelo predictivo del cumplimiento del crédito basado en características individuales. Los resultados muestran un modelo predictivo de discriminación de riesgo con una confiabilidad del 85% para créditos a la vivienda, lo cual permite ampliar la base potencial de personas susceptibles de acceder a financiamiento hipotecario. El derecho a una vivienda digna presenta un rezago importante en el país y hasta ahora los bancos al proponer un modelo predictivo de selección de riesgo hipotecario se da respuesta a la pregunta de investigación que refiere a las acciones que puede ejecutar la banca para resolver el problema de falta de acceso a vivienda digna. Los bancos pueden establecer sus criterios de selección de riesgo apoyados en la ciencia y analítica de datos y la aplicación de modelos predictivos de aprendizaje automático utilizando su amplia base de datos histórica.© Revista Venezolana de Gerencia

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University–Industry Collaboration: A Sustainable Technology Transfer Model

2021 , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora , López-Fernández, Andreé Marie

Faced with the pandemic caused by COVID-19, universities worldwide are giving a powerful response to support their communities. One way to provide support is via the collaboration between universities and industries, allowing the co-creation of knowledge that leads to innovation. Historically, universities, as knowledge-intensive organizations (KIOs), have produced knowledge through research. At present, its important contribution to countries’ economy is widely recognized through the development of new knowledge and technical know-how. Universities are a source of innovation for firms, which ultimately translates into social welfare improvements. The objective of this research is to analyze the university–firm linkage. The methodological strategy is carried out using Bayesian networks through a model where the main elements of university–industry linking, which impact competitiveness and innovation, are identified and quantified. The technology transfer model shows that the most crucial processes are Technology Strategy, Value Proposal, Knowledge Management, Control and Monitoring, Innovation Management, Needs Detection, Knowledge Creation, New Products and Services, and Absorption Capacity. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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Transformación digital en ciencias administrativas y contabilidad: tendencias de investigación en Scopus

2024 , Salgado-García, Jorge Arturo , Terán-Bustamante, Antonia , González-Zelaya, Vladimiro

Objetivo. Identificar las tendencias temáticas sobre transformación digital en el campo de las ciencias administrativas y contabilidad. Diseño/Metodología/Enfoque. Se realizó un análisis bibliométrico considerando 7,519 documentos indexados en la base de datos Scopus entre 1970 y 2023. El análisis se realizó usando las palabras claves de los autores para identificar las tendencias temáticas. Resultados/Discusión. Se identificaron núcleos temáticos relacionados con Covid-19, marketing digital, tecnologías emergentes, innovación, industria 4.0 y Fintech.Conclusiones. El Covid-19 no solo impulsó la transformación digital, sino que también impulsó la investigación en este campo aplicado a las ciencias administrativas y contabilidad. Sin embargo, el avance de las tecnologías digitales ha influido en la producción científica. Asimismo, hay otras tendencias como sostenibilidad que convergieron en la generación de conocimiento. © Iberoamerican Journal of Science Measurement and Communication.

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COVID-19, social identity, and socially responsible food consumption between generations

2023 , Leyva-Hernández, Sandra Nelly , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora

Introduction: The objective of the research was to analyze the effect of COVID-19 with the predictors of the health belief model (perceived severity, perceived benefits, and cue to action) on the social identity of the consumer and the social identity of the socially responsible food consumption among four generation groups of adults based on the stimulus-organism-response model. Methods: The study had a quantitative approach explanatory design and a cross-sectional temporal dimension. A total of 834 questionnaires were collected from adults in the metropolitan area of Mexico City, and the data were analyzed through partial least squares structural equation modeling. Results: The results indicated that perceived severity, perceived benefits, and cue to action positively and significantly influenced social identity, and this positively and significantly influenced socially responsible consumption. In addition, identity was found to be a variable that had a total mediation effect between perceived severity and socially responsible consumption, perceived benefits and socially responsible consumption, and cue to action and socially responsible consumption. While the perceived barriers only had a direct effect on socially responsible consumption. Likewise, a difference was found between generation X and Y, generation Z and X, and generation Y and X in the relationship between cue to action, belonging to a social network group, and social identity. Discussion: In this sense, these results allow us to consider that when environmental stimuli (predictors of the health belief model) affect the organism (social identity), it will respond with socially responsible food consumption. This type of consumption is explained through social identity and is modified according to the age of the consumers due to the effects of social networks. Copyright © 2023 Leyva-Hernández, Terán-Bustamante and Martínez-Velasco.

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What Drives Profit Income in Mexico’s Main Banks? Evidence Using Machine Learning

2023 , González-Rossano, Carlos , Terán-Bustamante, Antonia , Velázquez-Salazar, Marisol , Martínez Velasco, Antonieta Teodora

Historically, the banking system has been critical to the development of economies by addressing funds efficiently—from customer savings and investors to the productive activities of people and companies, financing consumer goods and current expenses, housing, infrastructure projects and providing liquidity to the market. However, it must be transformed to respond to emerging demands in society for better financial products and services with a positive impact on living conditions and well-being. To achieve this, banks must create economic value—that is to say, banks should create profits in a sustained manner—in order to also create social value and thus generate shared value. The purpose of this study was twofold. The first aim was to identify the main factors that contributed to the majority of Mexican banking profits in the period from 2003 to 2021; the second aim of the study was to provide an innovative metric of banking performance. Using supervised machine learning algorithms and Principal Component Analysis, two prediction models were tested, and two banking performance indices were defined. The findings show that Random Forest is a reliable profit prediction model with a lower mean absolute error between the predicted yearly profit and losses and the actual data. There are no significant ranking position differences between the two performance indices. The first performance index obtained is novel due to its simplicity, since it is built on the basis of five values associated with commercial banking activity. In Mexico, no similar studies have been published. The indicator most widely used by regulators worldwide is the CAMELS index, which is a weighted average of the capital adequacy level, asset quality, management capacity, profitability, liquidity, and sensitivity to market risk. Its scale of 1 to 5 is useful for identifying the robustness and solvency of a bank, but not necessarily its capacity to generate profits. This approach might encourage banks to remain aware of their potential to create shared value and to develop competitive strategies to increase benefits for stakeholders. © 2023 by the authors.

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Branding interno en una empresa de servicios en México

2020 , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora

El objetivo de la presente investigación es analizar los procesos de branding interno de una empresa de servicios del conocimiento en México, de manera que estos permitan fortalecer sus ventajas competitivas a través del liderazgo de su capital humano. Lo anterior se logra a través de dilucidar si la capacitación y motivación hacia la marca influyen positivamente en el desempeño de esta. La estrategia metodológica es de tipo cuantitativo a través de herramientas estadísticas y de machine learning. La evidencia muestra que la alineación por parte de los empleados con los valores de la marca muestra un impacto positivo y significativo con su motivación a favor de la marca y el desempeño de esta. Los factores más significativos dentro de la dimensión de compromiso es el binomio capacitación y liderazgo de los jefes.

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