Terán-Bustamante, Antonia
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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

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Now showing 1 - 10 of 24
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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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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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University social responsibility (USR) and Its mission: the case of the Universidad Panamericana in Mexico

2020 , Terán-Bustamante, Antonia , Torres-Vargas, Arturo

At present, Higher Education Institutions around the world are developing and implementing university social responsibility(USR) as part of their strategy. They do so because they seek to assure the quality of higher education systems, as well as to positively impact their surrounding environment. This chapter aims to analyze the university’s role in the process of building social responsibility in line with efforts to adequately fulfill its three missions of teaching, research, and linking with society. The case study herein refers to the Universidad Panamericana (UP), a private university in Mexico with humanistic and Christian roots, which recently celebrated its 50th year. The analysis demonstrates the UP’s significant efforts to build a social responsibility system and its achievement of significant social impact through programs that support the community, healthcare, and people with disabilities. However, management of USR should be done at an institutional level and across the board. © 2020 Emerald Publishing Limited.

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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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Finally Back to Campus? Motivations for Facemask Adoption in the Higher Education Sector

2022 , Morganti, Paolo Riccardo , Terán-Bustamante, Antonia , Murillo Othón, Enrique Martín

The COVID-19 pandemic caused an unprecedented crisis in the higher education sector through campuses closing worldwide. To contain the disease, authorities required their citizens to wear facemasks in public spaces. As universities return to in-person instruction, they will probably require all students to wear facemasks while on-campus. This study examined antecedents of voluntary adoption of facemasks through a survey of students enrolled in Mexico City universities in the Fall of 2020. It was hypothesized that Social Value Orientation (SVO) and Trust would be positively related to facemask adoption. Findings revealed that among students, wearing a facemask reflects distinct conducts depending on the social context. Regression results show that SVO and Trust significantly predict facemask use but only in some contexts, giving partial support to hypotheses. A key implication is that public health communications should avoid general messages recommending facemasks, and craft more nuanced appeals targeting specific social contexts. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Business Model Innovation and Decision-Making for the Productive Sector in Times of Crisis

2022 , Terán-Bustamante, Antonia , Martínez Velasco, Antonieta Teodora

The pandemic caused by COVID-19 has affected all companies and their business models. For this reason, firms have needed to redesign these models, focusing on customer value proposition. The purpose of this research is to analyze Business Model Innovation (BMI) for decision-making. The methodological strategy is carried out through Bayesian networks. A model is made in which the main elements that make up a BMI are identified and quantified, which impact better decision-making to properly manage the proposal value for customers, technology, and achieve innovation. Evidence shows that the construction of BMI requires a model that mainly considers the relationships between variables such as knowledge architecture, implementation operation, change and evolution, and agile response. BMI will apply to organizations to the extent that it contemplates variables related to customer service and attention, as well as those related to innovation in organizations, attention, and those related to innovation in organizations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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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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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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Critical Factors in the Participation of Women in Science, Technology, Engineering, and Mathematics -STEM- Disciplines in Mexico

2024-01-01 , Martínez Velasco, Antonieta Teodora , González, Fernando José Menéndez , De la Torre Díaz, Lorena , Terán-Bustamante, Antonia

Currently, women participate in STEM areas, still with a very marked gender gap. Taking this as a reference, in this work, an investigation has been carried out based on questionnaires applied to students of STEM careers. The information obtained was analyzed using multi-criteria decision methods. In particular, the Order of Preference by Similarity to the Ideal Solution (TOPSIS) method was applied to determine the most favorable conditions for women to study a STEM career. Through this analysis, this research has found that women's choice of a STEM career is strongly influenced firstly by the father's profession, secondly by the mother's profession, and also has a positive impact on the discrimination to which the person has been subjected, self-motivation. And self-esteem. These results indicate that it is necessary to influence the early educational stages to provide support from the family and school environment to women so that they develop their skills around STEM careers. In future work, the data obtained could be analyzed in greater depth, considering that the richness of the open responses may be lost by coding the respondents’ opinions as categorical variables. ©Springer.

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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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