El estudio realizado en 2022 buscó determinar la relación entre la infraestructura de ciclovías y el desarrollo sostenible en la urbanización retablo del distrito de Comas. Se empleó una metodología cuantitativa, de diseño no experimental y correlacional. La muestra consistió en 69 ciclistas de dicha urbanización, quienes contestaron cuestionarios con preguntas cerradas basadas en una escala ordinal. Los resultados revelaron lo siguiente: La infraestructura urbana, como las ciclovías en la urbanización Retablo, no solo influye en la movilidad y estética de la ciudad, sino que también juega un papel crucial en determinar la sostenibilidad de la región. La planificación adecuada puede ser una herramienta esencial para contrarrestar los impactos negativos del desarrollo urbano. Aunque la seguridad de las ciclovías no muestra una fuerte correlación directa con el desarrollo ...

El propósito de esta investigación es analizar los desafíos y oportunidades en la implementación de ciclovías en áreas urbanas, tomando como caso de estudio la urbanización Retablo en el distrito de Comas. Utilizando un enfoque cuantitativo y un diseño no experimental, se exploraron las correlaciones entre la infraestructura de ciclovías y el desarrollo sostenible. Los resultados indican que, aunque existen numerosos desafíos, las ciclovías presentan oportunidades significativas para mejorar la movilidad urbana y la sostenibilidad ambiental. Se concluye que la coherencia con el medio ambiente y las facilidades de interconexión son factores clave para el éxito de estas infraestructuras.

This study explored the relationship between the use of Artificial Intelligence (AI) tools and the academic performance of high school students through a correlational approach. A sample of 350 students from various socioeconomic backgrounds was analyzed to evaluate the impact of AI on key subjects such as mathematics, sciences, and humanities. The results showed a significant improvement in students' grades, especially among those who used AI tools more frequently. Additionally, access to technological devices and frequency of AI usage directly influenced academic outcomes. This study suggests that AI is an effective tool for enhancing learning, although equitable access to technology must be ensured.

Objective: This study aims to quantitatively assess the impact of customer relationship management (CRM) systems on customer retention in financial institutions. It seeks to understand how variables such as customer satisfaction, service quality, and switching barriers are influenced by the implementation of CRM systems Materials and methods: A quantitative methodology was used, with a correlational-descriptive design. Data were collected through surveys administered to 480 clients of various financial institutions, measuring variables such as service quality, customer trust, and switching barriers using Likert scales. The data were analyzed using correlation and multiple regression techniques. Results: The findings revealed a significant positive correlation between CRM implementation and customer retention, with a correlation coefficient of r = 0.59 (p < 0.01). In addition, switchin...

Objective: The objective of this study was to examine of manner quantitatively how biometric technologies can improve financial interoperability in the metaverse. The impact of facial recognition and biometric authentication on security perceptions, user experience, and usage intent in virtual environments was analyzed, as well as the relationship between security perceptions and users' willingness to adopt these technologies in their financial transactions. Materials and methods: A quantitative method was used with a non-experimental, cross-sectional, and descriptive design. Surveys were applied to 150 participants, including financial technology experts and active users of the metaverse. The key variables, such as perception of security, ease of use, and adoption intention, were measured using Likert-type scales and analyzed using descriptive and inferential statistics, including corre...

La tesis tuvo como objetivo general determinar la relación de la infraestructura de ciclovías y el desarrollo sostenible en la urbanización retablo – distrito de Comas, durante el año 2022. Desde un punto de vista metodológico, el estudio fue cuantitativo, con un nivel correlacional de diseño no experimental, se tomó como muestra a 69 ciclistas de la urbanización retablo – distrito de Comas, los cuales respondieron cuestionarios validados en base a preguntas cerradas con respuestas en escala ordinal. El estudio obtiene los siguientes hallazgos, Se evidencia que el coeficiente de Spearman es r=0.926, con un sig bilateral de 0.000 el cual es menor que 0.05, por lo tanto, se evidencia una fuerte relación entre la variable ciclovías y el desarrollo sostenible, se deduce que, a mayor desarrollo de la infraestructura de ciclovías, se incrementa de manera proporcional el desarrol...

The adoption of technologies such as artificial intelligence, augmented reality, and digital learning platforms has been a key factor in driving this shift. The study found a positive correlation between the use of emerging technologies and improvements in global competitiveness and administrative efficiency. However, challenges like the digital divide and resistance to change need to be addressed to fully leverage the benefits of digital transformation.

La presente investigación tiene como título: “Gestión de Calidad de Servicio para la mejora de Atención al Cliente y la correcta utilización de los ATM en la agencia del BCP de Chimpu Ocllo de Carabayllo – Lima 2015”, el cual tuvo como propósito Proponer un modelo de gestión de Calidad de Servicio para mejorar la atención al cliente en la correcta utilización de los ATM en la agencia, se utilizara el método de estudio descriptivo y se hará una propuesta para mejorar la atención del cliente y brindar calidad en el servicio. Realizare un muestrario haciendo encuestas a 266 clientes que vienen a la agencia, el resultado importante de esta muestra es la desinformación otorgada al usuario y la ausencia del compromiso tanto de trabajadores como de los superiores inmediatos del banco lo cual afecta a la calidad de servicio. El problema principal es que no hay mejoras en la at...

This study analyzed the impact of a Digital Learning Program in Science and Technology on students with special needs at IE 2047. A pre-experimental and descriptive study with a correlational approach was conducted, evaluating 30 participants using reliable instruments and both descriptive and inferential statistical tools. The results showed a significant increase in scores after the test, a positive relationship between the time the program was used and the improvement in scores, and high reliability in the tools employed. These findings demonstrate that digital technologies can be valuable for promoting inclusion and enhancing learning in challenging educational contexts.

Objective: To analyze the purchasing behavior of millennials on the e-commerce platforms, identifying the key factors that influence their repurchase intention. Materials and methods: A non-experimental quantitative approach of cross-sectional design was used, in which data were collected using a structured questionnaire applied to 400 participants. Data analysis included both descriptive and inferential statistics, using Pearson correlation analysis to assess the relationship between trust, satisfaction, and repurchase intention. Results: The results reveal that trust (0.78) and satisfaction (0.83) have a significant positive correlation with repurchase intention. Furthermore, 50% of participants use e-commerce platforms on a weekly basis, highlighting the relevance of user experience in customer retention. Conclusions: Trust and satisfaction are the most important factors determinants ...

Objective: This study analyzes how predictive models and AI algorithms influence fashion electronic trade optimization, assessing their impact on personalizing the user experience and increasing sales. Materials and methods: A quantitative approach with a non-experimental, cross-sectional, and correlational design was used, applying surveys to 50 fashion retail companies with an online presence, and to 500 consumers active on electronic trade platforms. Data were collected through surveys and databases, analyzing factors such as the implementation of artificial intelligence, the conversion rate, and the customer loyalty. For the analysis, descriptive and inferential statistics tests, including correlation and regression analysis, were used for the analysis. Results: The results evidence that AI has a significant impact on sales and customer loyalty, with a positive correlation (r = 0.87;...