masterThesis
Construção de modelo teórico de inovação tecnológica em clusters industriais para contribuir com o planejamento e desenvolvimento regional
Fecha
2015-03-05Registro en:
BRAGA, Ana Carolina. Construção de modelo teórico de inovação tecnológica em clusters industriais para contribuir para o planejamento e desenvolvimento regional. 2015. 124 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Tecnológica Federal do Paraná, Ponta Grossa, 2015.
Autor
Braga, Ana Carolina
Resumen
This study aimed to develop a theoretical model of Technological Innovation for Industrial Clusters to contribute to the planning and regional development. For this, sought to technological innovation factors and indicators of planning and regional development through scientific articles relevant trial data. For the theoretical framework of innovation and clusters models, we used a methodology adapted to literature review, which is defined as 2003 cut to 2013. This literature review based the creation of the new theoretical model of Innovation that after construction the proposed model, it was possible to measure the level of contribution to a cluster of 22 Mesh city businesses Imbituva, Paraná. To measure model, used the formula the Middle Ranking, which is able to number the score of each company included in the Industrial Cluster, and identify through levels (critical, alert, acceptable and ideal) your score for each indicator, analyzing the weaknesses of individual companies. In terms of results, we can suggest the main activities of technological innovation that should be practiced in order to stimulate the improvement of the score for each indicator and consequently increase the score of the contribution of Planning and Regional Development. We can conclude that the flexible character of the method to be applied, provides alternatives to managers and policy developers and interested actions to plan local development through industrial clusters. Furthermore, the flexibility of the system also allows to easily change the weights assigned to each of the five indicators and have an interesting Medium sensitivity analysis ranking (RM).