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.

The main objective of this research was to determine the impact of Information and Communication Technologies (ICTs) on human talent management within a public university in Ica, Peru. Using a quantitative, basic, and correlational-causal approach, a sample of 474 participants, comprised of administrative and teaching staff, was analyzed. The participants were characterized by a professional profile with high academic qualifications and intermediate work experience. Data collection was carried out through a survey based on the Technology Acceptance and Use (UTAUT) model, and the information was processed using partial least squares structural equation modeling (PLS -SEM). The results of the structural model confirmed that all the hypotheses were significant with a p-value of 0.000, highlighting that Expectations of Effort (β = 0.635) and Enabling Conditions (β = 0.632) were the most influential predictors of the dependent variable. The model achieved a coefficient of determination R² of 0.325, explaining 32.5% of the variability in human talent management. In conclusion, the modernization of talent management in the public university environment depends critically on reducing the technical complexity perceived by the user and strengthening the institutional technological infrastructure, factors that are more important than social influence or net performance expectations.

This study explores how the usability of digital wallets affects the growth of e-commerce in poultry shops in the Huancayo district of Peru. The general hypothesis states that the usability of digital wallets significantly impacts the growth of e-commerce in this sector. The methodology used combines the general scientific method with the specific hypothetical-deductive method. A non-experimental and cross-sectional design is used. The research is explanatory in nature, seeking to establish causal relationships between variables. To collect data, a survey was conducted on a probability sample of 385 customers in 112 poultry shops in Huancayo that use digital wallets. The sampling technique was simple random, and data were collected using an attitude scale designed to measure user attitudes and opinions. Results: The usability of digital wallets positively impacts e-commerce, with a correlation coefficient of 0.76 (p < 0.01), indicating a strong and significant relationship. The effectiveness of digital wallets in e-commerce growth is evidenced by a regression coefficient of 0.68 (p < 0.01), suggesting a significant effect on online sales. The efficiency of digital wallets shows a coefficient of 0.62 (p < 0.05), indicating a notable improvement in transaction time and payment accuracy. Customer satisfaction with digital wallets has a coefficient of 0.74 (p < 0.01), reflecting an overall positive experience with these payment tools.