Debido a la importancia que tienen las Pymes en el desarrollo de las economías en paísesemergentes, se hace necesaria la revisión de las tendencias más recientes relacionadas conambientes laborales. Dicho ejercicio se realizó por medio de ecuaciones de búsqueda en Scopus,considerando las definiciones de la Ingeniería Kansei, innovación y clima organizacional, lascuales contribuyen de forma positiva en la mejora de las condiciones de los empleados y suentorno laboral. Como resultado se establece que las Pymes mediante el uso de diferentesherramientas y técnicas pueden mejorar el ambiente laboral, la competitividad, la creatividad y lainnovación.

El conocimiento, es un activo intangible valioso para la organización, por ello se hace necesario establecer elementos de gestión que permitan su desarrollo y mantenimiento en la misma, uno de estos elementos es el trabajo en equipo, que favorece la socialización del conocimiento a través de la puesta en practica de la cultura, el liderazgo, las políticas de recursos humanos y la estructura organizativa.

Esta articulo nace de una investigación como parte de una tesis doctoral que busca establecer las características de las empresas que trabajan en equipo. La investigación se hizo tomando como marco de referencia algunas empresas manufactureras instaladas en España. Con base en investigaciones previas y en la información obtenida de las entrevistas, la experiencia compartida en las empresas y la retroalimentación continua de las mismas a través del uso de Internet, se hace un análisis de la influencia de los factores determinantes en la implementación del trabajo en equipo y se establecen las características que determinan los diseños de trabajo implementados en las empresas estudiadas.

Introduction:This article is a product of the research “Health and Psychosocial Well-Being in Organizations: Effectiveness of positive interventions to improve working life from Positive Psychology” carried out during 2016 and 2018 at Universitat Jaume I in Spain. Problem: The changing conditions of the ecosystems, in which the organizations are immersed, correspond to the growing relationships between the different actors within and outside the organizational context. This constitutes a complex system, difficult to understand in the business context, making it difficult to act upon its structure for the generation of competitive advantages in the market, where the psycho-social construct of healthy organization is established as an emergency. Objective:To offer an alternative solution to the theoretical divergence of building positive organizations. Methodology: Development of a healthy organizational model, cellular type, based on a set of variables in which the GPTW and HERO models coincide, with the implementation of this structure, through a transit methodology that makes the objective of being the best place to work tangible. Conclusion: Establishing a healthy organizational model of cellular structure allows for the perception of the organizational context through traceable and flexible variables that respond to internal and external labor changes. Originality: The advances in relation to the psycho-social construct of the health organizations are limited due to multiple heterogeneous models, however, a homogeneous model is traced for the first time in this work, based on others that have been implemented in different entities. Limitations: Establish an evaluation of the model to accurately adjust the relationship between variables.

This article informs about a study whose purpose was to establish data analysis strategies of the impacts of knowledge on technological management capabilities, according to the technological management model proposed by Saenz et al. (2017). A survey was applied in which 152 accredited calibration service providers in Bogotá participated, with a confidence level of 95% and a margin of error of 5%. A sample size of 110 entities with their respective profiles was obtained. One of the instruments used to develop the study was the application of data analysis strategies to adequately identify the variables that have relation and effect on the impacts of knowledge on technological management capabilities. The results show how the analysis criteria were defined and show how the correlational analysis of the variables for the "human dimension" and "organizational dimension" were developed, in relation to the capacity to manage the knowledge of the model. Therefore, it is concluded that the data analysis strategies of the impacts of knowledge on technological management capabilities have a positive influence on the development of the input analysis of the variables of the technological management model, in order to be able to make the subsequent simulation and evaluation in dynamic environments.