Velázquez-Salazar, Marisol
Main Affiliation
Preferred name
Velázquez-Salazar, Marisol
Official Name
Velázquez Salazar, Marisol
ORCID
0000-0002-2434-8760
Researcher ID
HPD-6060-2023
Scopus Author ID
57221855410
12 results
Now showing 1 - 10 of 12
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Item type:Publication, Digital Transformation and Innovation in Organizations : A Latin American Perspective(Springer Nature Switzerland, 2025); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Latin American Perspective of Digital Transformation and Innovation in Organizations: An Introduction(Springer Nature Switzerland, 2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling the Relation Between Non-Communicable Diseases and the Health Habits of the Mexican Working Population: A Hybrid Modeling Approach(MDPI AG, 2025); The impact that Non-Communicable Diseases (NCDs) have on the health status of the population has generated the need for an in-depth analysis of health habits and NCDs. In addition to its significant impact on population health, this phenomenon also translates into substantial economic consequences for countries. This study delves into the analysis of the relationship between health habits and NCDs among the economically active population of Mexico. Through a hybrid approach that integrates the use of machine learning (ML) models and a structural equation model (SEM), we seek to quantify the direct and indirect causal effects between health habits and NCDs. For this study, information from the 2022 National Health and Nutrition Survey carried out in Mexico for the working-age population is used. According to the results obtained in the first stage of analysis using ML, the most relevant variables (health habits) that impact the probability of individuals presenting with NCDs were identified (random forest precision of 78.66% and Lasso with 71.27%). The second stage of analysis through SEM using the most relevant variables, which were selected through ML, allowed us to measure the direct and indirect causal effect of health habits on NCDs. The SEM model was statistically significant (Chi-square: 449.186; p-value = 0.0000) and revealed that negative health habits, such as a poor diet, physical inactivity, smoking and alcohol consumption, significantly increase the risk of NCDs in the working-age population in Mexico (0.23), while vigorous physical activity and salary has a negative impact (−0.17 and −0.23, respectively) on the presence of NCDs. This study highlights the ability of machine learning and SEM approaches to model the impact of health habits on NCDs for the economically active population in Mexico. ©The authors © Mathematics ©MDPI. - 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, Assertiveness in Coffee Agri-Food Chain Business(Emerald Publishing Limited, 2025); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sustainability and Quality of Life in Marginalized Areas: An Impact Evaluation of a Community Center in Santa Fe, Mexico(MDPI, 2024); The aim of this paper is to present the results of an impact evaluation of a community center in health, capacity building, and digital access, which form an approximation of quality of life, in the population of Santa Fe town in Mexico City, from 2022 to 2024. The methodology is quantitative, using an impact index and the differences in differences (DD) technique. The data were obtained from primary sources with surveys undertaken via questionnaires. The center is operated by a private university and funded by private firms. The results show a positive impact of 0.287127 out of 1 on the weighted impact index, which allows us to consider this program successful in improving the quality of life of the target population. Through impact evaluation, the effectiveness of interventions and opportunities for improvement are identified, fostering collaboration among local actors, including community members, state-run public programs, and community centers. This collaborative effort improves the quality of life, creating a sustainable community wherein each actor addresses specific needs. Impact evaluation plays a crucial role in measuring sustainability because it is a continuous improvement process that, when combined with other actions, enhances the community’s overall well-being. ©2024 MDPI, The authors.16 47 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, What Drives Profit Income in Mexico’s Main Banks? Evidence Using Machine Learning(2023); ; 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.34 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Global Value Chains in the Coffee Sector: A Comparative Analysis Between El Salvador and Mexico(Springer, 2023-01-01); Lizama Gaitán, Gilma SabinaThe objective of this chapter is to compare the coffee chains in Mexico and El Salvador under the theoretical framework of Global Value Chains (GVC) proposed by Gereffi, highlighting the dimensions of governance in the original version related to the control or dominance of the chain (Gereffi, Commodity chains and global capitalism, Praeger, 1994), linkage governance (2005), and governance by regulation (2014, 2018). It is also discussed around the institutional framework to observe similarities and differences, establishing some recommendations of good practice for both countries under the interest of enhancing the product and improving the socioeconomic conditions of the producers of each of them. The comparison methodology combines quantitative and qualitative analysis and deepens through case studies. The results show that apart from geography and the size of production, there are few differences between the two countries regarding the conditions of the coffee chain. However, we found coincidences in the input-output, institutional framework, and governance dimensions. © 2024 Springer Nature.26 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designation of Origin Distillates in Mexico: Value Chains and Territorial Development(2021)Scopus© Citations 12 12 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Colored heirloom corn as a public good : the case of Tlaxcala, Mexico(2021); ; Byker Shanks, CarmenValorization of territories with diverse cultures and heritage has multiplied in recent years. This study analyzes the case of colored heirloom corn in Tlaxcala, Mexico, as a potential public good associated with the region’s biocultural heritage. The analysis conducted herein relies on a wide range of literature from relevant theory, including Geographical Indications, Global Value Chains, Community-Based Entrepreneurship, Public Goods, and Sustainable Development, in order to employ case study methodology. We leverage a novel approach to analyze the heirloom corn chain and its publicness. This chain reveals its status as a potential public good that clearly influences biocultural heritage, which has been preserved by several generations. To preserve colored heirloom corn in Tlaxcala, Mexico, a development strategy is needed that links actors and resources, involves the public sector, and furthers expansion of the private sector. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.Scopus© Citations 1 30 1