The Lean philosophy has demonstrated benefits in organizations of different business sectors through the elimination of waste and the generation of value; research conducted in this field has sought to identify the critical success factors for its implementation. The objective of thisstudy is to understand the relationships between the factors of Health Care Providing Institutions in Colombia, through surveys with experts, and then classify them according to their power of influence and dependence using the Interpretative Structural Modelling- ISM methodology. The results of this research contribute to identifying the key factors for the implementation of Lean Healthcare in the Colombian context: Management commitment, management understanding, and employee training, and finally recommendations and future research work are presented.

State contracting is a relevant issue for society’s participants, because  through this mechanism State resources are invested, seeking the fulfillment  of development plan objectives, which in turn are synonymous with  collective progress. Thus, a brief theoretical explanation is given of the  enabling requirements of financial capacity that are demanded in  the specifications, with the aim of having clarity of the expected behavior  in the proposed statistical model. Subsequently, the description of the  methodology used in the research and the theoretical approach that supports  the development of the proposed regression models are presented, the  validation tests carried out are presented, and the model with which  the probability of a plurality of suppliers is predicted according to the  enabling requirements of financial capacity is presented.   

The impact of climate change in intermediate cities is a topic of growing interest on Latin America. This study analyzed the influence of climate in the city of Pasto, Colombia. Based on several land use planning methodologies, we defined the main urban elements that affect the city’s territorial dynamics. Subsequently, we employed a structural analysis to identify the main relationships among the urban elements. Using direct and indirect classification based on the method of cross-impact matrices applied multiplication for a classification (MICMAC) and the Delphi method, we determined the dependencies and influences of the urban elements integrated in a systemic model of 12 positive and 8 negative loops that relate climate, energy, and culture as power elements over the city’s economy, health, education, environment, functionality, demography, and security, all of which are articulated by governance as the key element, with results applicable to other cities in the region.