Análise multicriterial na avaliação de projetos de investimentos industriais: estudo de múltiplos casos no estado do RS

Abstract

In companies, the process of decision making is complex. There are several criteria that can be used to choose between different alternatives considered, which requires the application of methodologies that allow the decision maker to ponder the different criteria used in decision making. Given this scenario, it becomes essential to build methods to support decision making. The aim of the study was to answer what they are and how they are treated the variables considered relevant by the companies for use to a multicriteria decision support in the evaluation of industrial investment projects in the State of Rio Grande do Sul, Brazil. For that matter, was presented the Industrial Policy of the State of Rio Grande do Sul, the Model for Industrial Development and the Plan of Implementation of the Industrial Policy. In this research, were selected six companies belonging to different economic sectors. In order to give the opportunity to use different sources of evidence and thus allow the triangulation of data collected, Key informants were selected at the State Department of Development and Investment Promotion and at the State Agency of Development and Investment Promotion. For data collection, it was decided to conduct in-depth personal interviews with the professionals listed by the institutions. The obtained data were processed using the technique of content analysis. It was found that, generally, the determinant factors considered most relevant in the evaluation of industrial investment projects are variable and distinct, having as a backdrop the various sectors of the economy. Stands out that each company uses its own criteria for ranking the most relevant factors and that most of them still does not use methods of multicriteria decision support. However, all companies interviewed reported continue taking as a basis for decision making the traditional methods of economic and financial evaluation of investment projects.