Terán-Bustamante, Antonia
Preferred name
Terán-Bustamante, Antonia
Official Name
Terán Bustamante, Antonia
Alternative Name
ateran
Main Affiliation
ORCID
0000-0002-0240-5234
Scopus Author ID
57221761294
Researcher ID
GIR-9607-2022
44 results
Now showing 1 - 10 of 44
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Item type:Publication, Making Better Medical Decisions Using Machine Learning: A Bayesian Model(Springer Nature Switzerland, 2025-10-11); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Conceptual Framework for Digital Transformation of Business Models: Advancing Towards Industry 5.0(Springer Nature Switzerland, 2026); ; Hernández-Lara, Ana BeatrizDigital transformation is progressing unevenly across industries, with varying levels of success influenced by organizational and sector-specific factors. Understanding where to focus investments and what type of transformation to adopt has become a crucial challenge for companies seeking competitiveness and market relevance in the digital era. This paper aims to analyze companies’ strategic decision making to foster digital transformation, conducting a literature review, and proposing a conceptual framework for digital transformation of business models. The study identifies key drivers of successful digital transformation, including digital strategy, human capital, scalability, customer focus, security and risk management. Integrating these factors, the proposed model emphasizes the strategic alignment of digital initiatives with organizational goals, fostering a culture of continuous innovation and adaptability. The findings contribute to a deeper understanding of the mechanisms and prerequisites for effective digital transformation, offering insights for organizations navigating the shift toward Industry 5.0. ©The authors ©Springer. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Buenas prácticas de gestión de la innovación en centros de investigación tecnológica(Instituto de Investigaciones Eléctricas, 2014); Solleiro, José LuisLos institutos y centros públicos de investigación (ICPI) juegan un papel estratégico en los Sistemas Nacionales de Innovación (SNI) al generar conocimiento tecnológico susceptible de ser transferido a la industria para, así, traducirlo en valor económico y social tanto para los usuarios y clientes como para la propia institución. La concreción de este potencial requiere que los ICPI adopten y ejecuten nuevas prácticas de gestión. de la innovación que les permitan optimizar sus procesos de creación, captación, transferencia y aplicación de conocimiento25 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Thematic mapping of artificial intelligence in management: A bibliometric approach using co-word analysis (2015–2024)(Pro-Metrics, 2025); Objective: The objective of this study was twofold: first, to map the main themes in the literature on artificial intelligence in management, and second, to explore the relationships between these themes. Design/Methodology/Approach: A co-word analysis was performed on 15,835 articles indexed in Scopus (2015–2024), with the author’s keywords in the field of administration constituting the unit of analysis. The semantic network under consideration was constructed using the 50 most frequent terms, applying normalization by association and the Walktrap algorithm for cluster detection. Results/Discussion: The results of the analysis indicated that the extant literature was organized around three thematic groups. The first of these focused on conversational interfaces, the second on digital transformation, and the third adopted a computational approach. The thematic structure identified reflected a field in the process of consolidation, with a predominance of technical approaches and limited functional specialization. Conclusion: Contemporary research endeavors prioritized methodological development over strategic implementation in particular organizational contexts. These findings underscored the necessity for more comprehensive approaches that articulated technology, management, and governance. Moreover, they called for a future agenda that was oriented toward its adoption from sociotechnical perspectives. ©The authors ©Iberoamerican Journal of Science Measurement and Communication (Revista Iberoamericana de Medición y Comunicación de la Ciencia) ©Pro Metrics. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, La industria farmacéutica en México(CONACYT, 2013); Solleiro, José LuisEn este capítulo se presenta la caracterización de la industria farmacéutica mexicana, con enfoque específico en la competitividad de la industria biofarmacéutica12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Valuation of an investment project in research and development in the pharmaceutical industry(2018)21 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Decision-making model in ancestral knowledge management: The case of the Raicilla in Mexico(2024); ; 42 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Crédito hipotecario: un modelo predictivo de discriminación de riesgo(2023); 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 Gerencia74 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Balancing Work, Family, and Personal Life in the Mexican Context: The Future of Work for the “COVID-19 Generation”(2021); ; Intergenerational talent management—i.e., attracting and retaining employees across generations and with different motivations—is one of companies’ greatest challenges. The expectations that recent generations bring with them have pushed culture in the direction of work-family balance, which is now seen as a key tool for human resources departments in charge of creating support mechanisms to attract and retain the next generation of workers. This trend has been reinforced by the changes brought about in light of the COVID-19 pandemic. Responding to this shift, and inspired by the challenges that our “new normal” posits, this chapter presents research results from a survey conducted in Mexico with respondents from generations Y and Z. The survey results offer important insight into how these generations perceive work-life balance, as well as the expectations that young Mexicans between the ages of 18 and 30 hold in terms of family and work.39 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Business Model Innovation and Decision-Making for the Productive Sector in Times of Crisis(2022); 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.Scopus© Citations 4 44 1