Digital consumer behavior and medical tourism: A regional analysis in Mexico

Introduction: The rapid evolution of technology necessitates the development of advanced computing and data analysis skills in undergraduate education. Standardizing curricula is a strategy to ensure consistent learning outcomes and align educational objectives with industry requirements. This study investigates the impact of a standardized curriculum on students' academic performance and professional certification outcomes.Methods: A quasi-experimental design was used to analyze 1,597 students enrolled in a data analysis course before and after implementing a standardized curriculum at a private university in Mexico City. The study assessed course grades and certification exam scores to evaluate the effectiveness of standardization. Parametric and non-parametric tests were applied to ensure robust analysis.Results: Implementing the standardized curriculum resulted in a slight decrease in average course grades but significantly improved certification exam scores, exceeding the threshold for certification. The findings highlight enhanced proficiency in data analysis tools and consistency in achieving educational objectives across groups.Discussion: The results suggest that curriculum standardization effectively addresses teaching methodologies and assessment criteria discrepancies. While increased curriculum difficulty temporarily impacted grades, the improved certification outcomes demonstrate the value of standardization in preparing students for industry demands. These insights provide a foundation for future curriculum development to align academic instruction with the evolving requirements of a technology-driven workforce.

Digitalization is a catalyst for the development of an information society, transforming how individuals interact with the world. However, its implementation across countries and regions has been uneven, contributing to social polarization and declining social trust. Among the most pressing concerns related to digitalization and inequality are the conditions of marginalized communities and persistent gender disparities. This study examines whether digitalization is associated with quality of life in marginalized areas and whether these effects differ between men and women. Using a quantitative approach, this study applies an ordinal regression model to data from two surveys conducted in 2021 and 2024 in a marginalized community in Mexico City. The results indicate that digitalization is significantly associated with quality of life: households possessing technological assets were 4.17 times more likely to report improvements in quality of life. Moreover, notable gender differences emerged. Although men’s quality of life increased by a factor of 35.7 in relation to digitalization, no statistically significant association was observed for women. The findings suggest a growing and statistically significant association between digitalization and quality of life in marginalized communities, but its benefits are distributed unevenly across genders.

Higher education institutions (HEIs) offer educational methods inspired by their mission, vision, and philosophy. Graduate attributes are the resulting skills and competencies that students develop during their learning process and then apply in their professional work. This study analyzes whether a HEI’s humanistic philosophy informs graduate attributes and then influences Senior Management alumni’s leadership style and social responsibility. The results of this study suggest that HEIs with strong humanistic components favor the development of a person-centered leadership. And, when graduates occupy management positions, this leadership style correlates with the development of socially responsible companies as well as positive organizational performance. Moreover, the longer graduates occupy leadership positions, the greater the positive effect on the organization.

The main focus of the chapter is to define directions and magnitudes of causality of the pension systems, labor force, and hours worked for selected OECD (Organization for Economic Co-operation and Development) countries through a pool data analysis. The information is examined within basic, intermediate, and advanced statistical analyses by regional comparison of the OECD countries. Main results include: (a) a positive impact of Labor Force size on Pension Systems, (b) a negative effect of the Average Hours Worked on Pension Systems, (c) when introducing cross-section and time series heterogeneity, relations are sustained from both global and regional inquiry, (d) an insightful and meticulous investigation can be performed using public and open databases if depuration of the information is well conducted.