Background Private universities in Peru still need to implement digital transformation models to enhance the job performance of faculty and staff, achieving consistent improvement in the performance levels of university teachers by deploying technological and didactic tools for students. Therefore, the study aims to determine the relationship between digital transformation and the job performance of employees at a Private University. Methods The research approach was quantitative, employing a non-experimental, longitudinal correlational design. The technique used was a survey, applied to a sample of 104 employees (school heads, faculty, and a director) from the university on a national level from a total population of 144. Results Descriptive results reveal that the university has regularly adopted tools related to digital transformation. In particular, it has efficiently employed agile technologies, Big Data, and various technological means, benefiting 90% (52% and 38%) of the staff. The study also showed a high positive correlation (0.92>0.7) between digital transformation and the job performance of staff at the Private University, confirming that there is a significant connection between the variables studied. Conclusions Therefore, creating an innovative culture across all hierarchical levels and identifying key technologies that add value to the learning flow can meet the needs of an increasingly demanding society.

La Logística Verde es una herramienta de gestión que permite mitigar los daños causados por procesos productivos de las empresas, lo que conlleva a implementar nuevas estrategias para poder estar a la vanguardia de las tendencias. En ese sentido, la presente investigación está relacionada al análisis de la situación de las empresas agroexportadoras con el factor medioambiental como una ventaja competitiva. Por ello, se tiene como objetivo analizar el impacto de la Logística Verde como estrategia en las empresas agroexportadoras de la región Lambayeque en Perú. La metodología de la investigación es de tipo aplicada, tiene un enfoque cualitativo, de diseño exploratorio, la cual tiene una muestra no probabilística a cinco empresas agroexportadoras. Para la recolección de datos se utilizó la entrevista y como instrumento la guía de entrevista. De acuerdo a los resultados obtenidos se concluyó que las empresas han implementado la Logística Verde y siguen en continuo crecimiento en tal aspecto, repercutiendo positivamente en imagen, percepción del cliente, competitividad, optimización de costos, así como incremento de utilidades.

The present study examined the impact of agricultural exports on economic growth in Lambayeque, Peru, during the period 2010–2023. An ordinary least squares (OLS) econometric model was employed to analyze the relationship between gross value added (GVA) and key macroeconomic variables, including agricultural exports, private investment, real wages, terms of trade, and the real multilateral exchange rate. The findings indicate that the model possesses considerable explanatory power (R² = 0.973) and that agricultural exports exert a positive and significant influence on regional GVA. In addition, private investment and real wages demonstrate positive elasticities, while terms of trade exhibit a negative relationship with regional economic growth. This highlights Lambayeque’s vulnerability to external price shocks. The study thus underscores the pivotal role of the Olmos Project, which has been instrumental in transforming arid land into fruitful agricultural zones through the implementation of an irrigation system encompassing over 22,000 hectares. This initiative has not only augmented agricultural exports, accounting for an impressive 90% of Lambayeque’s supply, but also contributed significantly to regional economic development by supporting employment generation and poverty reduction. Nevertheless, the presence of negative terms of trade indicates that the regional economy exhibits structural vulnerability in the face of external shocks. Notwithstanding the intrinsic limitations of regional, trade, and macroeconomic statistics, an understanding of the correlation between agro-exports and economic growth in a paradigmatic region of northern Peru provides substantial evidence for formulating policies to enhance the competitiveness and sustainability of the agro-export model.

Esta investigación cualitativa tuvo como objetivo principal identificar factores de la no adopción del comercio electrónico dentro de la dimensión de Negocio- a-Consumidor por parte de las pequeñas y medianas empresas (pymes) de Puerto Rico. En la misma, se utilizó la entrevista en profundidad, aplicada a seis empresas. El estudio concluye que las razones para la no adopción del comercio electrónico por las pymes en Puerto Rico son la carencia de conocimiento tecnológico relacionado al comercio electrónico y la atención excesiva al canal tradicional. El estudio aporta al conocimiento sobre el tema de los factores de la no adopción del comercio electrónico en las pymes y provee un panorama más claro sobre la necesidad que tienen estas de adquirir más conocimiento sobre el tema en discusión.

Peruvian fresh blueberry exports have expanded rapidly since 2012, yet strong seasonality and price–volume fluctuations continue to complicate trade planning and export decision-making, thereby threatening the long-term economic sustainability of the sector. Using monthly series for 2012–2025, this study compares three forecasting approaches to export value (FOB), export volume and unit price: (i) a seasonal Markov chain with Monte Carlo simulation (Markov–Monte Carlo), (ii) a log-linear growth model, and (iii) a seasonal ARIMA (SARIMA) model estimated using logarithmic data. The models are evaluated under a common train–test design, with the last 12 months (September 2024–August 2025) reserved for out-of-sample assessment. Model performance was evaluated through standard metrics, specifically Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), while model adequacy was examined through residual diagnostics, including Ljung–Box tests. For the Markov–Monte Carlo approach, simulated distributions were also used to characterize forecast uncertainty. Findings indicate that the log-linear growth model provides the most accurate short-term point forecasts for FOB values, and the SARIMA model performs better for export volume; the Markov–Monte Carlo approach, however, yields the best performance for export prices and provides additional insights into seasonal regimes. Overall, these results suggest that no single model dominates across all dimensions of the export chain. Instead, the combined use of forecast approaches offers a more comprehensive basis for sustainable trade management, export planning, and risk management in dynamic agricultural export sectors.

Background The study analyzes the impact of public health spending on malnutrition among Peruvians, using data from the National Household Survey, the Central Reserve Bank of Peru, the National Institute of Statistics and Informatics and the Ministry of Economy and Finance from 2010. -2020. Previous studies have revealed the existing relationship of health spending with the reduction of malnutrition. Methods A quantitative approach is considered, with an explanatory type of research using panel data methodology considering the bidimensionality of the data, which allows quantifying this effect for the Peruvian case using the National Household Survey, data from the Central Reserve Bank of Peru, as well as information from the National Institute of Statistics and Informatics and the Transparency Portal of the Ministry of Economy and Finance in the period 2010-2020. Results The results show that public expenditure on health has a negative relationship with malnutrition; the rural sector has a positive relationship with malnutrition given the limitations present for access to adequate food. Similarly, the unemployment rate shows a positive relationship with malnutrition, given that being unemployed leads to a higher cause of malnutrition in the population, and the gross domestic product has a negative relationship with malnutrition, given that greater economic growth produces an impact on reducing malnutrition, with the greatest impact being on the rural population and the gross domestic product. Conclusions In the analysis period 2010-2020 in Peru, based on the panel data analysis, the impact of public health expenditure on reducing malnutrition is observed in 10 departments, achieving a reduction in malnutrition; while in 14 departments, this indicator has not been reduced.