El presente trabajo de Investigación tuvo como objetivo construir un modelo que optimiza la calidad y el tiempo de atención, de acuerdo a los factores que los sustenten, por operador de Telefonía Celular de la Región Lambayeque 2016. La muestra estuvo constituida por unidad de análisis elegidos de La población que se está determinando en esta investigación son todas aquellas personas que fluctúan entre las edades de 18 a 70 años de edad, que registran un servicio de telefonía celular con cualquiera de las cuatro operadoras que se encuentran actualmente operando en el Perú, sectorizada por el departamento de Lambayeque, realizando un muestreo estratificado donde se divide a toda la población en diferentes subgrupos o estratos. El tipo de investigación fue descriptiva, observacional, prospectiva., con diseño descriptivo La recolección de datos se realizó después de la apl...

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...

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...