Performance evaluation model for companies incubated using multicriteria decision support methodology
performance evaluation; business incubator; MCDA; ELECTRE-TRI.
Creating value and stimulating improvements in business performance are fundamental parts of an organization and its decision-making process, regardless of its size or scope. However, young and smaller companies have a greater difficulty in this process due to the lack of resources, knowledge or social capital, making them more vulnerable to competition. In this context, business incubators appear promoting innovation and entrepreneurship through the creation of an environment aimed at supporting and strengthening micro and small companies. The incubator must monitor and follow the evolution of the supported enterprises and for this, the process of defining the indicators and building the companies' monitoring model is essential to verify the main demands of the companies and thus direct specific services to remedy the identified bottlenecks. In the process of evaluating the performance of companies there is a multiplicity of criteria that must be considered and therefore, for the construction of the model, it is supported by the concept of multicriteria decision making. The general objective of the present work is to create a performance evaluation model for technology-based incubated companies, using the multicriteria decision support methodology and also respecting the CERNE model guidelines. As for the method, this work is classified as exploratory-descriptive, of qualitative-quantitative nature and with regard to procedures, it adopts the case study. For the construction of the model, it was decided to use the multicriteria decision support methodology (MCDA) and the ELECTRE-TRI method. The present study will contribute to the creation of a model that will allow to follow the growth of nascent companies and to establish which are the main performance indicators used in this process.