Velázquez-Salazar, Marisol

Main Affiliation

Preferred name

Official Name

Velázquez Salazar, Marisol

ORCID

0000-0002-2434-8760

Researcher ID

HPD-6060-2023

Scopus Author ID

57221855410

Now showing 1 - 10 of 13

Some of the metrics are blocked by your
consent settings
A Latin American Perspective of Digital Transformation and Innovation in Organizations: An Introduction
(Springer Nature Switzerland, 2025)
;
Digital transformation is a key component of an organization’s transformation strategy. The right technologies, people, processes, and operations allow organizations to respond faster to a changing market, adapt, take advantage of opportunities, innovate, and generate value and competitive advantages. This paper discusses the Digital Transformation (DT) in Latin America, highlighting its accelerated growth due to the COVID-19 pandemic. It explores the digital divide and inequalities between sectors, with some industries advancing faster than others. The document emphasizes the need for human-centric approaches to DT and the importance of public policies to ensure equitable access and protection. It also examines different authors’ definitions and perspectives on DT, emphasizing the importance of data-driven processes and the role of digital capabilities in organizational success. ©The authors ©Springer.
Some of the metrics are blocked by your
consent settings
Thematic mapping of artificial intelligence in management: A bibliometric approach using co-word analysis (2015–2024)
(Pro-Metrics, 2025)
Salgado-García, Jorge Arturo
;
;
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 your
consent settings
Modeling the Relation Between Non-Communicable Diseases and the Health Habits of the Mexican Working Population: A Hybrid Modeling Approach
(MDPI AG, 2025)
Domínguez-Miranda, Sergio Arturo
;
;
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 your
consent settings
Digital Transformation and Innovation in Organizations : A Latin American Perspective
(Springer Nature Switzerland, 2025)
;
;
Antonia Teran-Bustamante
;
This volume discusses the intersection of digital transformation and innovation in firms, sectors, and regions in Latin America. It addresses the region’s labor market challenges in the advent of the digital era and the influences of AI. The chapters cover topics ranging from education, organizational culture, sustainability, ethics, and human resources. Exploring how digital and STEM literacies can serve as a tool for developing skills in organizations and emphasizing the need for human adaptability in the context of Industry 5.0, this book provides scholars with case studies to better understand the ongoing debates on labor market challenges. ©The authors ©Springer.
Some of the metrics are blocked by your
consent settings
Cultural preservation and economic inclusion in small-scale food production: the case of Latino Farms in Ohio
(Springer Science and Business Media LLC, 2025)
;
Sarah Schmidt
;
Small-scale food production is declining worldwide, primarily due to the corporatization of food systems. The lack of economic inclusion, the difficulty in preserving culture, and low social integration are some of the primary barriers this economic activity faces. Based on grounded theory and through in-depth interviews with small-scale farmers and other community stakeholders, these components are analyzed in case studies of immigrant Latin American-owned farms and markets in Ohio, USA. This study analyzes SFSC in Ohio Farms as alternatives to preserve food culture as heritage and combat social inequities. The primary findings show that family traditions and cropping methods are closely related and both are important factors for farmers to preserve their cultural heritage. The common typology of SFSC in the analyzed cases is the farmers’ market type. By prioritizing cultural preservation, farmers sacrifice the use of technology, crop fashionable or market-demand food, and therefore forego potential economic benefits. This prioritization creates restrictions to economic inclusion that escalate when coupled with the lack of institutional support. ©The authors ©Springer.
Some of the metrics are blocked by your
consent settings
Evaluating the Financial Performance of CSR Strategies and Sustainable Operations in Mexican Companies: An Explainable Machine Learning Approach
(MDPI AG, 2026-02-04)
;
;
;
Some of the metrics are blocked by your
consent settings
Assertiveness in Coffee Agri-Food Chain Business
(Emerald Publishing Limited, 2025)
;
;
Vega Vera, Nadia Viridiana
;
Castañeda Martínez, Ana Erika
This document is a chapter that discusses the negotiation problem in product commercialisation by small-scale producers in the Mexican agri-food sector, specifically in the coffee industry. The chapter emphasises the importance of developing soft skills, particularly assertiveness, in the different actors of the productive chain for price negotiation and product commercialisation. The article discusses the concepts of agroecology and assertiveness in agri-food value chains and the methodology used to measure the relationship between assertiveness and overpricing of agri-food goods using a logistic model. The study found that assertiveness in management and other skills and knowledge can lead to higher coffee prices and improve producers’ quality of life. The article also discusses the coffee industry’s evolution in terms of economic units, added value, governance, institutional framework and policy initiatives to support the sector. The study’s results could have implications for other agri-food products in Mexico, such as Creole corn, mezcal, tequila and cocoa.©The authors ©Emerald Publishing.
Some of the metrics are blocked by your
consent settings
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 your
consent settings
Global Value Chains in the Coffee Sector: A Comparative Analysis Between El Salvador and Mexico
(Springer, 2023-01-01)
;
Lizama Gaitán, Gilma Sabina
The 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 your
consent settings
What Drives Profit Income in Mexico’s Main Banks? Evidence Using Machine Learning
(2023)
González-Rossano, Carlos
;
;
;
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

Velázquez-Salazar, Marisol

Filters

Settings

Sort By

Results per page