Conference Agenda

In productive processes involving heat sources, such as boilers or steam equipment, workers are exposed to elevated thermal conditions that may pose risks to their health and work performance. For this reason, the present research aims to assess the level of heat stress among workers of a small-scale cheese enterprise located in the district of Chuquibamba, Arequipa. Environmental measurements were conducted in the pasteurization area, where three wood-fired steam boilers are installed, each capable of generating between 150 and 300 kg/h of steam, operating at an approximate pressure of 8 to 10 Pa and reaching temperatures of up to 180 °C. Globe temperature values ranged between 36 °C and 42.8 °C, indicating a significant accumulation of radiant heat. Based on these data, an average Wet Bulb Globe Temperature (WBGT) value of 30.05 °C was calculated, exceeding the permissible limit of 28 °C established for moderate-intensity work according to Technical Guideline No. 2 of Supreme Decree (D.S.) 024-2016-EM. In addition, the metabolic rate of the worker was estimated considering the physical activities performed during the pasteurization process, including firewood handling, boiler supervision, and controlled shutdown operations, resulting in a value of 212.4 kcal/h, corresponding to moderate activity. The results confirm the presence of heat stress, which, combined with the metabolic heat generated by work activities, represents a moderate level of thermal load for the workers. Therefore, the implementation of a mechanical ventilation system equipped with a 2.28 HP motor, capable of providing a constant airflow of 3.4 m³/s, is proposed.

Technological innovation is a key driver of global competitiveness; however, in Latin America, limited evidence persists on how microenterprises transform external technological knowledge into innovation and business performance. This study analyzes the influence of technological absorptive capacity on the performance of microenterprises, considering the mediating role of product innovation. A quantitative approach was adopted, with a descriptive and correlational scope, using a cross-sectional design. Data were collected through an online survey administered to 110 Ecuadorian microenterprise owners, and the data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that technological absorptive capacity positively influences both product innovation and business performance, while product innovation directly contributes to performance. Overall, the model demonstrates adequate explanatory and predictive power, providing relevant evidence for understanding innovation and performance processes in microenterprises in emerging economies.

University pre-incubation is a key stage in entrepreneurial training and the transformation of academic knowledge into early business initiatives; however, empirical evidence on its learning processes and value generation remains limited, especially in public universities in Latin America. This study analyzes the Wichariy pre-incubation program of the JAKU Emprende Business Incubator at the National University of San Agustín in Arequipa, with the aim of examining the training dynamics, the participants' perception of value, and the consistency of the evaluation criteria. A mixed descriptive-analytical approach is adopted, based on administrative records, perception surveys (Net Promoter Score), characterization of entrepreneurial teams, and inter-rater reliability metrics using the Intraclass Correlation Coefficient (ICC).

The results show a high rating of the program, with an overall NPS of +67.6, and a greater perception of usefulness in activities focused on practical application and interaction with active entrepreneurs. The study provides empirical evidence on the learning and evaluation processes in university pre-incubation programs, highlighting the importance of integrating experiential methodologies, links with the entrepreneurial ecosystem, and reliable evaluation mechanisms to strengthen the design of these programs in incubators.

This study analyses the long-run relationship between foreign direct investment (FDI) and economic growth in Peru over the period 1980–2023, adopting a quantitative and non-experimental approach based on time-series analysis. The empirical strategy relies on the Engle–Granger cointegration framework to assess whether foreign capital inflows and gross domestic product (GDP) exhibit a stable equilibrium relationship over time. The results provide evidence of a positive and statistically significant long-run association, indicating that FDI and GDP tend to co-move along a common trajectory despite short-run fluctuations. From a systemic perspective, these findings highlight the role of foreign investment as a structural component of economic dynamics rather than a short-term stimulus. The study contributes to the discussion on sustainable growth and long-term planning by offering empirical insights that are relevant for policy design, institutional coordination, and strategic decision-making in emerging economies, particularly in contexts where economic performance depends on external capital flows and long-run stability.

Sustainable strategies in the hotel sector have become essential not only for improving competitiveness but also for contributing to the well-being of the environment and society. This research sought to examine the influence of collaboration on the implementation of sustainable practices, aiming to establish that its impact is transmitted through employees' pro-environmental behavior. Using a sample of 294 hotel workers from Lima, Trujillo, and Huaraz, this study estimated a structural equation model to evaluate direct relationships and mediating effects. The findings indicate an excellent model fit. In particular, it is worth noting that pro-sustainability leadership (β = 0.632), green HR management (β = 0.597), interdepartmental coordination (β = 0.495), and integration with suppliers (β = 0.478) had significant effects on pro-environmental behaviors (representing 58.6% of the variance; R² = 0.586). Second, the relationship between employees' pro-environmental behavior and the implementation of sustainable strategies was direct and stronger (β = 0.611), explaining 68.3% of the variance (R² = 0.683). Furthermore, the study supports the mediating role of employees' pro-environmental behavior; both pro-sustainability leadership and green HR management influence the implementation of sustainable strategies (indirect effects: β = 0.442 and β = 0.439). These results reveal that sustainability is integrated through a collaborative capacity that connects strategic intent with daily operations and practices.

This study presents the implementation and evaluation of a computer vision system based on the YOLOv11n model for the automated classification of grapes intended for wine production at a Peruvian agroindustrial company. The proposed system replaces manual visual inspection, whose average precision is approximately 76%, with a lightweight real-time detection model trained on 5,137 augmented images annotated using Roboflow. The model achieved a mean precision of 89.1% (95% CI: 87.4–90.8%), a recall of 88.3% (95% CI: 86.1–90.4%), and an mAP@50 of 92.5% (95% CI: 91.2–93.8%) for the Premium grape category, representing a 13% improvement in precision compared to traditional manual inspection. Lower performance was observed for the Bulk category (76.1% precision and 61.4% recall; 95% CI: 58.0–64.8%), mainly due to morphological variability among the grape clusters. The results confirm the technical feasibility and scalability of YOLOv11n as an effective tool for optimizing quality control processes in viticulture, demonstrating its capability for real-time inference under uncontrolled environmental conditions.