Decent work and economic growth are fundamental elements for the sustainable development of a society, with Sustainable Development Goal 8 (SDG8) being one of the key objectives of the United Nations’ 2030 Agenda. The 5G network has great potential to contribute significantly to the achievement of SDG8, offering faster and more reliable connectivity, which opens up new possibilities for innovation, operational efficiency, and job creation. The present study aimed to investigate the role of 5G technologies concerning decent work and economic growth (SDG8). As part of the method, 265 articles extracted from main databases such as Scopus, IEEExplore, and ScienceDirect were analyzed using the PRISMA methodology, resulting in 74 relevant articles after applying the inclusion and exclusion criteria. As a result, a greater contribution to the use of the 5G network was identified in sectors such as manufacturing, health, and transportation, generating greater economic growth and job creation. It was also found that the technological applications with the greatest contributions are “Internet of Things” and “Artificial intelligence”. Finally, it was concluded that the results of this review are useful for future research on technologies that support 5G networks, contributing to economic growth and equitable and sustainable decent work in a wide range of sectors and rural areas.

This work aims at discovering topics in a text corpus and classifying the most relevant terms for each of the discovered topics. The process was performed in four steps: first, document extraction and data processing; second, labeling and training of the data; third, labeling of the unseen data; and fourth, evaluation of the model performance. For processing, a total of 10,322 "curriculum" documents related to data science were collected from the web during 2018-2022. The latent dirichlet allocation (LDA) model was used for the analysis and structure of the subjects. After processing, 12 themes were generated, which allowed ranking the most relevant terms to identify the skills of each of the candidates. This work concludes that candidates interested in data science must have skills in the following topics: first, they must be technical, they must have mastery of structured query language, mastery of programming languages such as R, Python, java, and data management, among other tools associated with the technology.

The strategic management of human resources in organizations is fundamental due to the competitive demands of the markets, which is why an excellent organizational culture must be maintained to increase workers' motivation. This study aims to provide specific recommendations to improve strategic human resource management in the context of municipalities, thus promoting a comprehensive transformation that increases the capacity to retain and attract valuable personnel. The research is quantitative and follows a correlational design. A questionnaire was administered to 112 employees of municipalities regarding the variable strategic human resources management with the dimensions of organizational culture, organizational climate, and personnel selection and the variable motivation with the dimensions of job satisfaction and work environment with a Cronbach's alpha reliability of 0.851. The results show that 65.18% of the workers consider that the organizational culture in the municipalities is fair, 67.86% of the workers highlight that the personnel selection capacity is inadequate, 53.75% express that the level of social relations in the organization is low, and 50% of the workers indicate that job satisfaction is fair. These results reflect that companies must increase their capacity to retain and attract stable and valuable personnel that fit the organization's profile.

After the isolation caused by the pandemic, the entertainment sector has been forced to change the way it markets its products and services, and users have been adapting to the change. Companies dedicated to the film industry have had to bet on digital marketing to attract customers through the promotion and advertising of movies, thus attracting a larger audience to their theaters. The objective of this research article is to provide added value and innovation to the advertising promotions of movies in the premiere, through the development of a mobile application based on augmented reality to improve customers’ shopping experience. For which the Agile Mobile-D Methodology was used for the development of the application and the results were studied using 5 indicators: Time to choose a movie, where an improvement of 38.26% was obtained compared to the Pre-Test; regarding the indicator time to acquire information about the movie, an improvement of 81.33% was obtained. 33%; concerning the third indicator, time to initiate the purchase, an improvement of 88% was obtained; concerning the fourth indicator, time to obtain a reminder, an improvement of 83.33% was obtained, making the time with the use of the application shorter; finally, concerning the customer satisfaction indicator, 73% of the users who used the application rated their experience as between satisfied and very satisfied.

En un mundo en constante cambio que afecta directamente la educación, el trabajo colaborativo se ha convertido en una estrategia valiosa para generar aprendizajes significativos. Por ello, el estudio tuvo como objetivo reflexionar acerca del contexto educativo actual para aplicar el trabajo colaborativo como estrategia para el aprendizaje significativo del inglés en los estudiantes peruanos. En cuanto a la metodología empleada, se trató de un estudio de revisión tipo reflexivo, en el que se usó la dialéctica como método de construcción del conocimiento, empleando un total de 24 artículos que fueron escogidos de forma selectiva en las bases de datos Elsevier, Web of Science - WoS, Scielo, Redalyc y Google Scholar. La reflexión esgrimida se fundamentó en los siguientes tópicos de estudio: a) Retrato Educativo Peruano; b) El Desafío del Inglés en Perú; c) Colaboración Educativa: Más que Trabajo en Equipo; d) Aprendizaje con Sentido: El Significado del Inglés; e) Métodos Innovadores: Colaboración en el Aula de Inglés; f) Hacia una Educación Colaborativa y Significativa en inglés. Dentro de las conclusiones se destacó que el trabajo colaborativo en el aprendizaje del inglés mejora las habilidades lingüísticas de los estudiantes y también contribuye a su desarrollo social y emocional.

Artificial intelligence (AI) can contribute to improving supply logistics in companies in the bakery sector, which face operational challenges due to the perishability of their products, the low level of digitalization of processes, and the need for precision in inventory planning and control. To this end, a Systematic Literature Review (SLR) was conducted, guided by the PICO model, considering articles indexed in the Scopus database between 2019 and 2024. Inclusion and exclusion criteria focused on thematic relevance, peer review, and the English language were applied. The search used keyword combinations such as "Artificial Intelligence," "Inventory Management," and "Operational Efficiency." Document selection followed the four stages of the PRISMA protocol: identification, screening, eligibility, and final selection. From a total of 1,015 documents, 15 studies were selected that met all the defined criteria. Sustained growth in scientific production on AI in logistics was identified, peaking in 2023. It is concluded that AI can significantly improve operational efficiency in bakery logistics; however, its adoption requires investment, training, and a gradual approach tailored to the conditions of SMEs.