Performance and success measurement when managing projects. A public manager perspective.Mesure du rendement et de la réussite en gestion de projets : le cas des cadres de la fonction publique Medição de desempenho e sucesso na direção de projetos. Perspectiva do administrador público

This article analyzes the adoption of project management practices in development cooperation NGOs and their influence on project performance. This paper illustrates the impact in the implementation of methodologies, techniques and tools on outcomes, measured by success criteria of several projects recently implemented. Information from the project managers of the organizations was collected, and complemented by a literature review. We analyzed the correlation among the variables that determine the adoption of a project, and the criteria that determine its success. The positive effect of project management adoption in the performance of cooperation projects is demonstrated, in spite of the low use of methodologies, techniques and tools within the sector. The article shows the importance of project management in cooperation and aid projects, with the purpose of increasing researchers' awareness about the field as applicable knowledge and about the benefits of its use in the sector. The paper shows that project management can improve project efficiency and accountability in other sectors.

Abstract:The aim of this paper is to present graphically the behaviour of a simulation model to the varying parameters and to establish the suitability of this representation as a valid tool for the analysis of the same parameters. In this paper, we define parameter combinatorial diagram as the joint graphical representation of all box plots related to the adjustment between real and simulated data, by setting and/or changing the parameters of the simulation model. To do this, we start with a box plot representing the values of an objective adjustment function, achieving these results when varying all the parameters of the simulation model. Then we draw the box plot when setting all the parameters of the model, for example, using the median or average. Later, we get all the box plots when carrying out simulations combining fixed or variable values of the model parameters. Finally, all box plots obtained are represented neatly in a single graph. It is intended that the new parameter combinatorial diagram is used to examine and analyze simulation models useful in practice. This paper presents combinatorial diagrams of different examples of application as in the case of hydrologic models of one, two, three, and five parameters.