La presente investigación se llevó a cabo con el objetivo de evaluar la relación entre la resiliencia y Síndrome de Burnout en los docentes de la Universidad Particular de Chiclayo. Es una investigación básica, cuantitativa, con diseño no experimental y descriptivo correlacional; en la cual la muestra estuvo conformada por 60 docentes de la universidad. Como instrumentos de recolección de datos se utilizó el cuestionario de resiliencia y el cuestionario de Síndrome de Burnout, ambos elaborados por la autora del estudio y que cuentan con evidencias adecuadas de confiabilidad y validez. En los resultados se encontró relación significativa entre la resiliencia y el Síndrome de Burnout, debido a que el sig. es < 0,05, con el grado de correlación negativa moderada de manera que, se acepta la hipótesis alterna. Respecto a los resultados descriptivos el 61,7% de los docentes debe...

El presente estudio analiza la relación entre motivación de logro e intención emprendedora, enfocándose en el rol moderador del género en el contexto peruano. Empleando un muestreo estratificado, se recogieron datos de 286 individuos de la población Lambayecana, utilizando una escala Likert para medir variables como intención empresarial y motivación por el logro. La macro PROCESS de Hayes (versión 2.6) fue aplicada para examinar relaciones de moderación y mediación. Los resultados revelan que la motivación de logro explica un 18.05% de la variabilidad en el emprendimiento y tiene un efecto directo significativo en la intención emprendedora, siendo este efecto más pronunciado en mujeres que en hombres. Estos hallazgos sugieren la necesidad de enfoques diferenciados para fomentar la intención emprendedora según el género, resaltando la importancia de intervenciones empres...

Background: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use.  Method: This study employed a quantitative approach with a survey-based design. A total of 482 students from public and private universities in Peru participated in the research. The study utilized partial least squares structural equation modeling (PLS-SEM) to analyze the data and test the hypothesized relationships between the constructs.  Results: The findings revealed that three out of the six hypothesized factors significantly influenced AI adoption among Peruvian university students. Performance expectancy (β=0.274), s...

This article presents a systematic review of the evolution, trends, and research approaches of cybercrime. Cybercrime has become a significant threat in the digital age, affecting individuals, organizations, and societies worldwide. As technology advances and becomes more accessible, criminals have leveraged these tools to conduct illegal activities in cyberspace. The COVID-19 pandemic has further exacerbated this situation, as increased reliance on digital technologies has created new opportunities for cybercriminals. The studies analyzed in this review cover a wide range of topics, from the evolution of attack types and techniques used by cybercriminals to the strategies implemented by organizations and governments to prevent and respond to these threats. Bibliometric analysis by keywords revealed three main research clusters: cybercrime and victimization, machine learning and data min...

The integration of artificial intelligence models into academic settings has experienced remarkable growth in recent years. Given that researchers’ interactions with and perceptions of these technologies can substantially influence academic procedures and outputs, identifying the key determinants of their incorporation into university environments is crucial. This investigation pursued two main objectives: first, to identify the variables that condition the implementation of AI models in research activities, and second, to analyze how perceived ethical considerations and academic integrity influence their adoption. The empirical study was conducted through a digital survey administered to 302 academic researchers from Peruvian public and private universities. The analytical methodology employed structural equation modeling and confirmatory factor analysis, grounded in an expanded versi...

This systematic study explores the success factors and barriers faced by rural women entrepreneurs in the artisanal sector during 2020–2024. Through a comprehensive bibliometric analysis of academic databases, 50 relevant articles that met predefined inclusion criteria were identified and reviewed. The results reveal a dynamic and collaborative research field with a focus on developing countries. It highlights the interplay of individual, social, structural, and innovation factors as key determinants of entrepreneurial success. The adoption of digital technologies and social innovation emerge as key factors, while traditional gender roles, poor infrastructure, and discrimination persist as significant barriers. The COVID-19 pandemic has exacerbated these challenges, prompting innovative resilience strategies. This study contributes to a deeper understanding of the dynamics that influen...

ChatGPT, a large language model AI, has the potential to transform higher education by providing students with personalized learning support, assisting in writing tasks, and enhancing their level of engagement. This study examines the factors influencing the acceptance of ChatGPT among university students in Peru, following the extended UTAUT2 model with the addition of a construct called knowledge sharing (KS). A total of 772 students from seven universities in Lambayeque and La Libertad participated in an online survey, providing insights into their perceptions and experiences with using ChatGPT for academic purposes. The results from the structural equation model showed that effort expectancy, behavioral intention, and knowledge sharing positively influenced the actual use of ChatGPT. Furthermore, effort expectancy and performance expectancy were found to be determinants of the behavi...