Avaliação da competitividade em empresas de base tecnológica

• Ano de defesa: 2017
• Autor(a) principal: Santos, Aline Martins dos
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/26339/001300000z07w
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Engenharia de Produção; UFSM; Programa de Pós-Graduação em Engenharia de Produção; Centro de Tecnologia
• Palavras-chave em Português: Empresas de base tecnológica; Competitividade; Abordagem multicritério de apoio a decisão; Medição de desempenho; Indicadores de desempenho; Technology-based firms; Competitiveness; Multiple-criteria decision analysis; Performance measurement; Performance indicators; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/13315

Due to the increase in investments in physical structure and incentives by educational institutions, agencies of innovation promotion and financing, technology-based companies show annual growth. However, organizations need to be prepared for positive or negative scenarios, reinforcing how the strategy becomes evolutionary, as well as each business that interacts with its environment. For the entrepreneurs, understanding the value of the organizational life cycle means identifying changes likely to interfere with the company growth and development. Taking into account these scenarios, this dissertation research aimed to propose a model for measuring the level of competitiveness in technology-based companies based on intangible assets related to each phase of the organizational life cycle, through a bibliographical and applied research on the characteristics of the sector. The entire model used 57 performance indicators, considering theories about Key Performance Indicators (KPI) and some elements of the Analytic Hierarchy Process (AHP). The proposed research instrument was applied in 31 companies, and seven of them are situated in the creation stage, 5 in the launch phase, 9 in the stabilization phase, 3 in the expansion phase, 1 in the ripening phase, and 6 in the evolution phase. This modeling considered each organizational life cycle, returning in its evaluation stage an index representative of the competitive performance of each evaluated company, then allowing the comparison and discussion of the results obtained. In addition, simulations were exemplified in the case of that companies had adopted strategic actions. Thus, it is concluded to be possible to measure and evaluate the competitiveness level in technology-based companies considering the intangible assets which interfere in the organizational life cycle.