Innovation in cooperation network of public intermunicipal consortium in Brazil: an empirical study
International Journal of Development Research
Innovation in cooperation network of public intermunicipal consortium in Brazil: an empirical study
Received 28th November, 2018; Received in revised form 06th December, 2018; Accepted 09th January, 2019; Published online 27th February, 2019
Copyright © 2019, Francisco Alberto Severo de Almeida et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article describes the empirical research model called "Information management system and innovation in Public Intermunicipal Consortium in cooperation network", with the focus of the four-pole method. And also by the projection of its theoretical and operational elements that seek to explain the association between the conditioning paradigms of innovation in a cooperation network of public consortium and the teleology of the information management system.A survey was applied in public intermunicipal consortia in Brazil. These consortia have the character of regional economic development, urban, environmental management, education and health. To measure the data collected, the following statistical tools were applied: Alpha Cronbach, to evaluate the density of the questionnaire data; the Pearson Correlation Coefficient, to verify, by analyzing the correlation and linear regression between the data surveyed, if there is a variable association relationship explaining innovation in a public consortium network and the explained variables of teleology of the information management system; and the F statistic to obtain the significance test of the hypotheses and make the decision to accept or reject the null hypothesis. In this context, from the verified data, it can be affirmed that there is evidence that the innovation variable in public consortium network exerts a positive influence on the set of variables denominated: management of the information process, knowledge management, information management and management communication.