Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

Las empresas se enfrentan a grandes desafíos producidos por la pandemia como los cambios en los formatos comerciales y la implementación de estrategias empresariales que se adapten a estos nuevos sistemas.   Las PyMEs juegan un rol protagónico no solo en la economía sino también en la en el bienestar de cada individuo. El crecimiento y desarrollo de las PyMEs depende de forma directa de las capacidades y habilidades de sus trabajadores para la implementación de estrategias.  Por otra parte, las personas que conforman estas organizaciones, esperan a cambio incentivos que les permita satisfacer sus necesidades. El objetivo de esta investigación es conocer la influencia de la cultura organizacional como fuente competitiva para la gestión estratégica de las PyMEs. Se realizará una revisión de tipo bibliográfico en artículos relacionados con temas de planeación estratégica y cultura organizacional. Los resultados están relacionados al desarrollo de la cultura organizacional y como ésta afecta en la gestión empresarial de las PyMEs; aspectos como la comunicación, innovación y tecnología que permita mejorar la competitividad.

The Factors that influence Academic Performance has been of great interest for research over the years. The main objective of this research is to demonstrate that there are various factors that will alter the academic performance of students. The method was hypothetical Deductive with a quantitative approach, where, through a survey, it was applied to a sample that consisted of 160 technical nursing students from a technological institute in San Juan de Lurigancho. The results obtained show that social or sociological factors directly influence the academic performance of students when considering that the family, the institution, the community and the workplace will modify the responses to learning, where it either improves or worsens, with risks of dropping out. That is why it is proposed that educational institutions must have personnel that support this vulnerable group through a strategic plan that involves the student's environment plus even the family, so that high-quality professionals can be trained for the labor market.

El desarrollo del sector turístico es una de las principales actividades productivas del país, con lo cual el marketing se convierte en un elemento fundamental dentro de esta industria, ya que procura no solo promocionar los lugares turísticos, sino que también incluye el análisis de los productos, precios y canales de distribución, además del estudio del comportamiento de los actores de esta cadena de valor. La presente investigación busca, realizar un análisis contextualizado de la actividad turística en el cantón Quevedo, para determinar las principales variables sujetas a generar ventajas competitivas para este sector. Para lo cual se realizó una investigación documental y de campo, del tipo deductivo e inductivo, como herramientas se utilizó la encuesta y el cuestionario, para determinar el tamaño de la muestra se empleó la fórmula estadística para poblaciones finitas tomando como base la población de estudio, la misma que tuvo como resultado, una cantidad de 150 personas. Se realizó el análisis del macro y micro entorno, en función de las actividades turísticas, de las cuales se obtuvo información que contribuyó al diagnóstico situacional de la industria del turismo en el cantón.

This article presents a comparative study between machine learning algorithms to perform the automatic classification of text considered as grooming, for which different libraries of the Python programming language are used that allow the analysis and treatment of the data set, for the subsequent training of a predictive model with these same data divided into a training group and a validation group to check the accuracy of the classification model. The main objective of this study is to determine which algorithm has a better performance for the classification of this type of text, comparing the efficiency of the algorithms with the data set through different independent evaluation metrics. As a result of the comparison between the text classification algorithms, it is concluded that the Support Vector Machines model shows better performance in terms of the metrics obtained, obtaining an accuracy of 90%, and also offers greater accuracy for text classification. even with a high dimension of training data and without consuming many memory resources.

Citizen security in Peru is affected by problems of a social and political nature that require forceful and corrective actions and measures that allow the reduction of juvenile crime rates in a way that guarantees the progress and development of citizenship. The objective of this research is to analyze how citizen security and the increase in juvenile crime are perceived in the San Juan de Lurigancho district of Lima. This study was carried out under the positivist paradigm, with the hypothetical deductive method, of a correlational descriptive type, of a non-experimental-cross-sectional design, the population was made up of the inhabitants of Las Flores de Lima, located in the southern area of the District of San Juan de Lurigancho, applying a non-probabilistic sampling (51 citizens), the survey technique was applied and as an instrument a questionnaire, as the most important result was that for 86.3% of the population the level of citizen security is low having as the main conclusion that the citizens of said commune have a negative perception of citizen security due to the increase in juvenile delinquency, which is caused by different factors, both family, educational and social.

La investigación titulada  GESTIÓN DE RECUPERACIÓN Y COBRANZA Y SU IMPACTO EN LOS INDICADORES DE RIESGO DE BANECUADOR EN LA EMERGENCIA SANITARIA COVID 19 presenta dificultades que se evidencian al interior de los departamentos de recaudaciones operativas por otorgamiento de créditos, no obstante existe la infraestructura operativa administrativa y de gestión para incorporar planes operativos y de gestión que impidan el deterioro de la cartera y en su defecto disminuir las recaudaciones que podrían afectar los balances de la institución, los indicadores de gestión riegos entre otros. La metodología utilizada en esta investigación  de carácter cuali-cuantitativo requiere del método histórico lógico el mismo que permitirá el reconocimiento de datos y comportamientos que permitan ser analizados; y luego se procederá a la tabulación de los resultados a fin de proponer alternativas de mejoras continuas que responden al Diseño de un Plan estratégico para la recuperación de cartera en tiempos de pandemia COVID-19.-Este trabajo busca diagnosticar las afectaciones que podrían darse en los indicadores de liquidez, riesgo, morosidad entre otros de BanEcuador B.P. y a la vez proponer un Plan de recuperaciones efectivas y mediante soluciones de pago, buscando la correcta rentabilización de los recursos entregados a los clientes; además se propondrá las estrategias correspondientes que permitan garantizar la continuidad del negocio; equilibrando la sostenibilidad de la cartera como activo productivo con una óptima gestión de maniobra.-La metodología basa su enfoque de forma cuali-cuantitativa y descriptiva, pretende demostrar mediante los métodos histórico-lógico, inductivo, deductivo y analizar e interpretar los datos obtenidos mediante la observación directa y la entrevista.

En esta investigación se realizó un estudio a docentes y estudiantes de diferentes carreras de la Universidad Técnica Estatal de Quevedo a partir del análisis de las reflexiones sobre la gestión del conocimiento y la enseñanza virtual universitaria durante la etapa de confinamiento ocasionada por la pandemia del coronavirus. El estudio, de carácter descriptivo, exploratorio y explicativo, aplicó encuestas a estudiantes y docentes de diferentes carreras de la Universidad Técnica Estatal de Quevedo. La encuesta tuvo respuestas de 35 estudiantes y 8 docentes. Los estudiantes de forma mayoritaria valoran negativamente el paso a la virtualidad pues este se asocia de forma recurrente con un incremento de la carga lectiva. La virtualidad ha contribuido a impactar negativamente en la visión del alumnado sobre sus formadores, mientras que en estos últimos demandan competencias digitales básicas en los jóvenes universitarios. Según los hallazgos obtenidos los docentes en el escenario virtual deben mostrar conocimientos no solo sobre el contenido de la materia sino también conocimiento tecnológico y pedagógico digital. El docente tiene que ser capaz de innovar, reflexionar y transformar sus propuestas didácticas para responder a las demandas sociales que vive el mundo en medio de una crisis sanitaria, a la vez que se alcancen los objetivos curriculares propuestos al inicio del curso. Por otro lado, los docentes encuestados reconocen que es necesario la promoción del pensamiento crítico y reflexivo vinculado a la gestión estratégica de las TIC.

Green spaces constitute extensions of territories protected by national and international laws to conserve natural resources and guarantee the socioeconomic and environmental well-being of a territory, since they are part of the structure of compliance with the green index recommended by the World Health Organization. The objective was to determine the ecosystem services of urban green spaces and their contribution to air quality through the direct use total economic value (TEV) method. A case study was applied in the Historical Park of the Guayaquil canton. 98 tourist attractions ranked in the exceptional and highly significant category were quantified. The green spaces are made up of forests, mangroves and ornamental species by natural regeneration, species of larger and smaller animals, as well as poultry and wild birds in danger of extinction. According to the contingent valuation method, users are willing to pay $32 monthly to preserve green spaces with just 4% of the target population, this canton has an ecological surplus per capita of 17.3 m2, they improve air quality since their contribution is 78 tm ha-1 of carbon, this site contributes to the regulation of gases, climate, erosion, nutrient recycling, shelter, food production, recreation and habitat for the biotic resources of the place. Finally, urban green spaces are necessary to have a good quality of life, survival in human beings, make cities sustainable and resilient due to the adverse effects of the current era.

Cellular Automata (CA) models make it possible to foresee the consequences of land planning policies seeking sustainability. The objective of this research project was to apply free software implementing CA model SLEUTH developed by NASA to predict urban growth scenarios for the Buena Fe area in Ecuador. Input data ware derived from Landsat and Sentinel-2 satellite images, digital elevation model generated by NASA and vector maps of the study area from National Information System of Ecuador. During pre-processing in the GIS environment all the data were reprojected to the UTM projection (Zone 17S), WGS84 datum followed by the transformation of all the layers into the required GIF file format. The calibration used urban areas extracted from the satellite images acquired in 1984, 2000 (Landsat-5), 2013 (Landsat-8) and 2019 (Sentinel-2) with the Maximum Likelihood method (Kappa coefficient ~0,8). It was validated with Sentinel-2 image taken in 2019 showing good fit (Kappa coefficient 0.84). During 1984-2019 period the urban areas in Buena Fe grew more than 4 times, which is similar to the population growth. Considering these rates, the future growth scenario for 2040 is expected to achieve the extension of 20 km2, the increment of more than 200% in the extension of the urban areas which will spread over the agricultural lands. Most of the expected growth is predicted to the north of the existing city, being the Access to the transportation network and the topography the factors determining the urban spatial patterns.

In the balsa wood manufacturing industry, the mechanical hazards present in this type of company are multiple. The William Fine method consists of assessing the severity of the risks by considering three factors: consequence, exposure and probability. The general objective of this work was to evaluate the mechanical risks using the William Fine method and to determine their incidence with the accident rate in sawmills. The study was carried out by means of a quasi-experimental design because the evaluation of the degree of danger of the existing mechanical risks was carried out in all the workstations by means of analytical, quantitative, observational, inductive and correlational research. Through the statistical analysis of the data concerning the period January 2018 - June 2021, it presented 48 work accidents, with 465 lost days, detecting that the phalanges of the hand is the most affected part of the body. With the application of the William Fine method, the most influential mechanical risks are cut (15.63%) and run over or hit by a vehicle (15.63%), the job position with the highest criticality is auxiliary log handler. The area with the highest accident rate is sawmilling. The highest FI was in 2018, IG 2019 and TR 2019. The contrast of the hypothesis showed that mechanical risks do have an impact on occupational accidents; it was determined that 94% of workers are exposed to critical level risks. Therefore, it is necessary to reduce the accident rate through the application of the proposed control measures.