Conference Agenda

The objective of this article is to determine the impact of credit management of entrepreneurship on Peruvian economic growth in the period 2001- 2023, we know that entrepreneurship is the ability to generate or develop a sustainable project that generates economic and social value, in this sense, Peru is known for the entrepreneurial impetus of its inhabitants, to solve the research question was conducted a research with quantitative approach, explanatory level, with non-experimental design. Public domain statistical data applied time series analysis was used, where an ordinary least squares (OLS) model was developed to answer the research question. As the main finding of the research, it was verified that Credit Management in Entrepreneurship has a considerable impact on the economic growth of Peru, explaining 99% of its growth.

The main objective of the research was to determine how much the citizens of Lima are willing to pay for the conservation of the San Martín de Porres Monumental Park. Through a quantitative and descriptive approach, and using the contingent valuation method, data were collected through a structured questionnaire applied to 64 individuals selected by probabilistic sampling. The results indicated that the average willingness to pay is S/ 3,125 per month per person. In addition, differences were found in the willingness to pay: 45.3% would pay S/ 3, while 46.9% would offer S/ 5, followed by 6.3% who would pay S/ 7, and 1.6% who would pay S/ 10. Factors such as monthly income, perception of pollution, satisfaction with green areas, air quality and higher education, particularly among people aged 36 to 45, play a significant role in this willingness to pay, with a level of precision of 95.5%.

A conceptual design of internal combustion engines for renewable and alternative gaseous fuels is presented; the mathematical modelling is based on thermodynamic principles applied to Otto cycles for spark-ignition engines and on the results of experimental tests conducted on two engines; an octane rating research engine and other optimized for biogas. Validation of the mathematical model of design was carried out with a third, larger-scale engine for biogas. It was found that the fuels with the highest capacity to produce work are biogas and natural gas.

This study evaluated the potential of Lupinus mutabilis Sweet (Tarwi) in the phytoremediation of cadmium-contaminated soils in the Puente Piedra district, Lima. A quantitative approach was adopted with an experimental design that included four treatments: T0 (0 mg CdSO₄/L), T1 (25 mg CdSO₄/L), T2 (45 mg CdSO₄/L), and T3 (65 mg CdSO₄/L). After 18 days of exposure, the final cadmium concentrations in the soil were measured, yielding the following values: T1 (19.71 mg/kg), T2 (39.18 mg/kg), and T3 (58.67 mg/kg). The results indicated that higher cadmium concentrations in the soil corresponded to lower removal percentages by Lupinus mutabilis. Additionally, significant changes were observed in the morphology of the stem, root, and leaf during the treatment period. Statistical analysis using the Student's T-test showed that the physical changes in leaves were significant for the T0-T1 and T0-T3 pairs, while changes in the stem and root were significant for all treatments (T0-T1, T0-T2, and T0-T3). In conclusion, the study demonstrated that Lupinus mutabilis can mitigate cadmium contamination in agricultural soils, although the effectiveness decreases as cadmium concentration increases.

Industrial productivity faces emerging challenges that demand effective and up-to-date operations management. This study aimed to evaluate the impact of operations management practices and the adoption of advanced technologies, such as Big Data and the Internet of Things (IoT), on industrial productivity. A non-experimental design with a mixed-methods approach was employed, corresponding to a systematic review without meta-analysis. Based on established inclusion and exclusion criteria, studies were selected from the Scopus database, highlighting the implementation of Lean practices and information technologies. The results indicate that the integration of these technologies in operations management significantly enhances productivity by optimizing processes, reducing waste, and facilitating real-time decision-making. It is concluded that the application of Lean methodologies along with tools such as Big Data and IoT not only improves operational efficiency but also promotes greater adaptability to market changes, leading to increased industrial competitiveness. The adoption of these practices proves to be highly effective, especially when considering cultural and organizational factors for their correct implementation and sustainability.