Conference Agenda

This study presents a comprehensive methodological approach based on Design Thinking and TRIZ for the user-centered design of a portable workstation aimed at residential locksmiths in the district of Comas, Lima. The research addresses the issue of high perceived workload resulting from the use of conventional tool cases that lack ergonomic criteria. Multicriteria analysis tools such as NASA-TLX were applied to assess cognitive workload, and the Kano-AHP model was used to prioritize functional attributes valued by users. Based on functional analysis and the identification of technical and physical contradictions, an ergonomic and transformable tool-carrying backpack was developed and validated through finite element simulations (FEA) and physical prototyping. The testing phase with real users showed a 50% reduction in perceived workload, significantly improving physical effort, temporal demand, and subjective performance. The integration of design methods, ergonomic evaluations, and prioritization tools proved effective in generating an innovative, context-sensitive, and technically robust solution. This approach may be replicated in other sectors of informal technical work, promoting the design of tools focused on user well-being.

This research contributes to the SDG of decent work and economic growth, and its objective is to determine the influence of coaching on empowerment. It is an applied study with a quantitative approach, a non-experimental cross-sectional design, an explanatory level, and a hypothetical-deductive method. The population consisted of 60 employees from a financial institution. The descriptive results for each grouped variable, along with general and specific hypothesis tests, and the coefficient of determination, provide evidence that allows us to conclude that the coaching variable influences empowerment by 22%.

This article presents the second phase of the Ruta 12 project implemented at University X, aimed at fostering a cultural shift toward sustainable behaviors through the application of Design Thinking. After an initial stage focused on infrastructure for plastic waste management, the project transitioned to address behavioral change within the university community. Through participatory methods—including pre- and post-intervention surveys, visual campaigns, 3D-printed prototypes, and QR-based eco-rewards—the project achieved measurable improvements in awareness, motivation, and the correct use of classified recycling bins. Although the progress was notable, the study highlights that cultural transformation is a gradual and continuous process that requires the sustained engagement of all stakeholders across the institutional value chain. The approach offers a replicable model for universities seeking to promote sustainability through education, innovation, and community involvement.

This study aimed to determine the relationship between servant leadership and task performance behavior—including the dimensions of personal support, organizational support, and constant initiative—among employees of a telecommunications company in Lima in 2025. Adopting a quantitative approach and the deductive method, the research was classified as basic, non-experimental, and correlational in scope. The population was considered infinite, with 167 workers, of which a probabilistic sample of 117 was selected. Data were collected using questionnaires: 26 items measured servant leadership, and 17 items assessed task performance behavior. Instrument validity was ensured by three expert judges, and reliability was confirmed with Cronbach's alpha coefficients of 0.943 and 0.970 for the two variables, respectively. Descriptive analysis characterized the variables across high, medium, and low levels. Normality was assessed using the Kolmogorov test, confirming the non-parametric nature of the data. Inferential analysis with Spearman’s rho test revealed significant relationships between servant leadership and task performance behavior (sig. = 0.000; r = 0.834), as well as with the dimensions of personal support (r = 0.764), organizational support (r = 0.828), and constant initiative (r = 0.868). The study concludes that fostering servant leadership is crucial for promoting proactive work environments

This paper presents the design of a sustainable wastewater treatment plant (WWTP) for the rural community of Santa Clara de Tulpo, located in the district of Mollebamba, La Libertad, Peru. The proposed system addresses the lack of basic sanitation, which directly impacts public health and environmental quality. The study involved topographic surveying, soil mechanics analysis, hydraulic modeling, and population projections for a 20-year horizon. The plant consists of an Imhoff tank, drying beds, percolating biofilters, and adsorption wells. These units were designed following the Peruvian Technical Standard OS.090. The system achieved an estimated 94% removal of biochemical oxygen demand (BOD₅), ensuring effluent quality within environmental limits. This work offers a viable and replicable solution for small rural communities lacking proper wastewater treatment infrastructure.

Agriculture faces challenges in ensuring the continuity of its processes due to the lack of advanced technological tools for Industry 4.0. The problem is that a large portion of agricultural areas still rely on traditional methods and lack intelligent systems that allow for real-time data analysis and decision optimization, which limits their productivity, sustainability, and adaptability to climate change. To address this problem, a Systematic Literature Review was conducted using PICO approach, analyzing 45 articles selected from a total of 154 found in the ScienceDirect database (2023–2025). The results show that tools such as Machine Learning, Geographic Information Systems, and Digital Twins make it possible to locate new productive fields, simulate agricultural environments, and optimize decisions. However, their integration into Precision Agriculture is still limited. Furthermore, benefits such as disease detection, predictive maintenance, and increased productivity were identified. The purpose of this paper is to propose the integration of tools such as Deep Learning and Federated Learning, combined with sensors and IoT, to achieve more autonomous, sustainable, and data-secure agriculture. It concludes that these technologies are essential for modernizing agriculture, especially in countries like Peru, where they can improve productivity, decision-making, and the resilience of the agricultural sector.