This study analyzes the influence of community-based business management, focused on vicuña conservation, on socioeconomic development in a National Reserve in Peru. Using a quantitative approach and Partial Least Squares Structural Equation Modeling (PLS-SEM), a model integrating operations management (Oa), resource management (Ro), and environmental impact (Ia) was evaluated as determinants of business performance (De) and social welfare (Sc). The results reveal that the model has high explanatory power, with an R² of 0.63 for performance and 0.59 for socioeconomic development. Environmental impact was identified as the strongest predictor of community welfare (β = 0.420, t = 8.115), followed by operations management on organizational performance (β = 0.350, t = 7.778). All hypotheses were accepted with significance levels of p < 0.001, demonstrating that efficiency in vicuña fiber harvesting (chaccu) and sound environmental governance reduce the economic vulnerability of Andean populations. It is concluded that vicuña conservation is not only an ecological imperative but also a strategic asset that, under an organized community-based business structure, allows for poverty alleviation and the sustainability of livelihoods. The study provides empirical evidence for the design of public policies that harmonize biodiversity preservation with economic growth.

The objective of this research was to analyze the mediating role of academic motivation in the relationship between academic tutoring and academic performance among students at a private university in Huancayo. The study adopted a quantitative, explanatory, and non-experimental cross-sectional design. The population consisted of 10,000 students, from which a stratified probability sample of 370 participants was obtained. Data collection was carried out using Likert-type questionnaires validated by expert judgment and with adequate internal consistency (α > 0.84). The analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM), applying bootstrapping of 5,000 subsamples to evaluate the statistical significance of the coefficients. The results showed that academic guidance (β = 0.401, p < 0.001) and pedagogical support (β = 0.385, p < 0.001) significantly influence academic motivation, while the latter directly and significantly impacts academic performance (β = 0.540, p < 0.001). Furthermore, the mediation effect of academic motivation was found to be partial, given that the dimensions of tutoring also had significant direct effects on performance. The structural model explained 58% of the variance in academic performance (R² = 0.58), indicating a substantial explanatory capacity of the set of variables included. It is concluded that academic tutoring is most effective when it strengthens students' internal motivational processes, consolidating an integrative approach to improving university performance.

Digital transformation has a considerable impact on state institutions, forcing organizations and professionals to adapt to technological advancements. The objective of this study was to analyze the relationship between digital transformation and the job performance of employees at a hospital in the Junín region of Peru. The research is basic in nature and was developed using a quantitative approach with a correlational level. The population consisted of 552 administrative workers, and data was obtained from a sample of 227 employees who perform administrative activities within the hospital. Data analysis included descriptive statistics and the use of structural equation modeling with PLS -SEM estimation, employing SmartPLS 4.0 software. The results showed a positive and significant relationship between digital transformation and job performance. The dimensions of people, technology, processes, and quality showed significant effects on job performance, with statistically significant values (p < 0.05), confirming the robustness of the proposed structural model and its adequate fit. It is concluded that digital transformation significantly influences the job performance of administrative workers in the healthcare sector, contributing to process optimization, the strengthening of job skills, and improved organizational productivity. These findings highlight the importance of promoting comprehensive digital transformation strategies focused on human capital development and institutional efficiency.