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Regulations and Laws Affecting Women’s Economic Opportunities: A Worldwide Approach
(SAGE Publications, 2025)
Hernández-Lara, Ana Beatriz
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Leyva-Hernández, Sandra Nelly
This research aims to analyze the regulations and laws that promote economic opportunities for women at an international level, predict their impact on income levels, and estimate when legal gender equality will be achieved across different regions. The countries are compared over time, based on their income levels and regional locations, considering regulatory indicators on mobility, workplace, pay, marriage, parenthood, entrepreneurship, assets, and pensions. The methodological strategy was based on machine learning methods. The results indicate a positive trend in the average scores of all regulatory indicators, revealing significant differences across groups of countries and suggesting more egalitarian regulatory frameworks for developed countries, as well as more imbalanced and less progressive frameworks for underdeveloped and developing countries. The regulatory axes that better predict a country’s income level were parenthood, analyzing laws affecting women’s work after having children; assets, which consider gender differences in ownership and inheritance; and marriage, related to the legal constraints on women affected by marriage and divorce. However, the paternity axis is the last to be achieved. ©The authors ©SAGE Publications ©SAGE Open.
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Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico
(Frontiers Media SA, 2025)
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Leyva-Hernández, Sandra Nelly
Introduction: Knowledge management is essential to ensure the sustainability of rural communities and small producers since it generates value for innovation, productivity, and competitiveness. The aim of this study is to identify relevant factors for adequate decision-making in managing knowledge in the Mexican mezcal industry and its impact on developing rural communities and small producers - mezcaleros. For this purpose, a decision-making model for managing scientific and ancestral knowledge is created to support links with universities, research centers, and rural communities to accelerate innovation and competitiveness in this sector. Methods: The analysis methods were carried out through decision-making, machine-learning techniques, and fuzzy logic. Results: The Bayesian Network model suggests that the preceding variables to optimize the Mezcaleros Knowledge Management are the Mezcaleros Indigenous community, the Denomination of Origin, Scientific and Ancestral Knowledge, Waste Management and Use, and Jima. Discussion: This knowledge management model aims to guide small producers to be more productive and competitive through the support of a facilitator. ©The authors ©Frontiers in Artificial Intelligence ©Frontiers Media SA.
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Knowledge and innovation management model in the mezcal industry in Mexico
(Elsevier, 2025)
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Leyva-Hernández, Sandra Nelly
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This research aims to study and analyze knowledge management in the mezcal sector in Mexico and its impact on the development of rural communities through Bayesian-networks with machine learning techniques. A model is made in which the critical factors that impact is identified and quantified to optimally manage the knowledge that generates value and translates into innovation and competitive advantages. The results show that the most relevant factors to adequate knowledge and innovation management are commercialization and marketing capacity, value system model, ancient knowledge, strategic business model, process management, competencies, Business structure model, Facilitators governments, universities, mezcaleros, and indigenous communities. ©The authors ©Elsevier Ltd.
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SECI model of knowledge management: A thematic analysis with emphasis on agricultural organizations
(Pro-Metrics, 2024)
López-Meza, Evelia
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Leyva-Hernández, Sandra Nelly
Objective. This research aimed to identify the thematic trends in knowledge management through Nonaka and Tekeuchi's socialization, externalization, combination, and internalization (SECI) model. First, an analysis of the application of the model in general and then in the field of agriculture was conducted. Design/Methodology/Approach. A bibliometric analysis was performed, and 2201 indexed papers from the Scopus database between the years 1994 and 2024 were considered. The study used the authors' keywords to identify thematic trends through word co-occurrences. Results/Discussion. Thematic cores related to innovation and open innovation were identified. This model has experienced a notable boom in recent years. In the agricultural sector, knowledge creation and transfer represent a part of the model that has experienced increasing use. The importance of understanding and effectively using the model to drive innovation and sustainable development in agriculture was stressed. Therefore, it was proposed that knowledge be transformed into a source of knowledge. Conclusions. Despite the criticisms received, this paper highlights the lack of research on using the SECI model in agriculture and its relevance in advancing knowledge management research. Furthermore, the results point out that, for the agricultural sector, future research on knowledge management should focus on organizational learning mechanisms, social innovation, critical success factors, business processes, and job satisfaction. ©The authors ©Iberoamerican Journal of Science Measurement and Communication ©Pro-Metrics.
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Patrones de consumo alimentario con enfoque socialmente responsable
(Universidad del Zulia, Facultad de Ciencias Económicas y Sociales, 2024-01-01)
Leyva-Hernández, Sandra Nelly
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Arango-Ramírez, Paola Miriam
It is possible for countries through socially responsible consumption, sustainable growth, and achieving goal 12 of the United Nations Agenda. Therefore, it is essential to know food consumption patterns to develop effective communication strategies; however, after the COVID-19 pandemic, consumption patterns were modified, focusing on health care and the environment, among others. This study aims to develop the segmentation of socially responsible food consumers according to their behavior patterns after the COVID-19 pandemic. An exploratory and cross-sectional study collected a sample of 834 adults from the metropolitan region of Mexico City. A segmentation analysis was performed by two-step cluster analysis: Hierarchical and k-means. Three segments of socially responsible consumers were identified: Those concerned about the environment and society, the rational, and health caretakers. Knowledge of the characteristics of these consumers can allow the development of appropriate marketing strategies and public policy programs that promote this consumption ©Revista de Ciencias Sociales (RCS). Facultad de Ciencias Económicas y Sociales. Universidad del Zulia
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Patrones de consumo alimentario con enfoque socialmente responsable
(2024)
Leyva-Hernández, Sandra Nelly
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Arango-Ramírez, Paola Miriam
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Patrones de consumo alimentario con enfoque socialmente responsable
(2024)
Leyva-Hernández, Sandra Nelly
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Arango-Ramírez, Paola Miriam
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Country-Level Environmental Performance: Investment, Education, and Research and Development
(MDPI, 2024)
Leyva-Hernández, Sandra Nelly
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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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Main Factors that Explain Organic Food Purchase Intention: A Systematic Review
(2022)
Leyva-Hernández, Sandra Nelly
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González-Rosales, Virginia Margarita
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Galván Mendoza, Oscar
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Toledo-López, Arcelia
This study sought to understand the factors behind the intention towards buying organic products mentioned in the existing literature and provide conceptual and theoretical guidelines for future research on the subject. A systematic revision of original research papers included in Scopus and Web of Science databases during the period 2011-2021 was conducted, resulting in a sample of 162 articles. The results show that the attitude, values, and confidence of the consumer were the main factors in the intention to buy organic foods. Moreover, it was found that the theory of planned behavior was the most used theoretical framework in the analysis of organic foods purchasing. The changes brought by the covid-19 pandemic are manifested in consumers’ values and their implications to the sale of this type of foods. We propose to consider consumers’ values as variables that intertwine the rational and motivational approaches to consumption analysis. It is also proposed to understand the purchase intention underlying the stimulation of attitudes and the confidence of consumers due to their values. Finally, it is suggested to consider the analysis of the mediating effect of attitudes and trust in the relationship between values and purchase intention.
Scopus© Citations 1 10 2
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Stakeholder Pressure Engaged with Circular Economy Principles and Economic and Environmental Performance
(2022)
Hernández-Arzaba, Juan Cristóbal
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Nazir, Sarfraz
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Leyva-Hernández, Sandra Nelly
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Muhyaddin, Sanar
The study aims to investigate the impacts of internal and external stakeholder pressures on the adoption of circular economy (CE) principles. The study explores the primary barriers to and causes (external or internal stakeholder pressures) of CE’s transition across Mexico and explores the effects of stakeholder pressures (internal and external) on the adoption of CE principles on economic and environmental performance. For this, data were collected from 433 respondents using a structured questionnaire. For analysis, the study used the PLS-SEM technique to examine internal and external stakeholders as barriers and motivators of economic and environmental performance through CE principles. Both the structural model and the measurement model were assessed. As well as mediation analysis, the direct and indirect effects were determined. The study found that economic (β = 0.178, p = 0.000) and environmental performance (β = 0.233, p = 0.000) is affected by most external stakeholders through the adoption of circular economy principles. Although the internal stakeholders don’t affect the environmental performance (β = 0.040, p = 0.492), with the adoption of circular economy principles mediating the relationship, internal stakeholders encourage environmental performance (β = 0.201, p = 0.000). The study motivates the public, non-governmental organisations (NGOs) and the government to adopt CE principles for the achievement of economic and environmental performance and participation in the sustainable development agenda.
Scopus© Citations 5 8 1

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