PROFIAP - Programa de Pós-Graduação em Administração Pública em Rede Nacional - Andifes
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Item Identificação de indicadores para avaliação de mobilidade urbana inteligente: um estudo de caso em Aparecida de Goiânia(Universidade Federal de Goiás, 2022-02-17) Medeiros, Bruno Pereira de; César, Marcelo Barbosa; http://lattes.cnpq.br/2320696253466080; Roriz Junior, Marcos Paulino; http://lattes.cnpq.br/1356289387726731; Roriz Junior, Marcos Paulino; César, Marcelo Barbosa; Rita, Luciana Peixoto Santa; Carvalho, Willer Luciano; Almeida, Cristiano FariasThe concentration of inhabitants in large urban centers imposes several challenges on the planning and management of cities, whether related to environmental management or the adequacy and expansion of existing infrastructure. That said, smart cities (SC) initiatives have been presented as alternatives in the attempt to solve some of these problems. In this scenario, the aspect of smart urban mobility appears as one of the main axes of SCs, as it addresses the transport systems of cities and is directed related to the quality of life of the population. In this context, this study aimed to identify indicators that allow the evaluation of smart urban mobility actions and their impacts in the context of smart cities in Brazilian municipalities. This research was carried out through a hypothetical-deductive and a predominantly qualitative approach, alongside with an interpretive analysis of data in a case study in Aparecida de Goiânia. The data investigation was carried out through indirect observation techniques - systematic literature review and documentary research. As part of the results, it is pointed out that 15 finalistic MUI indicators were filtered. After contextualizing them to the reality of Aparecida de Goiânia, object of the case study, there were positive results such as the increase in the application of public spending and the reduction of deaths caused by traffic accidents. However, there is still room for the implementation of other public policies that encourage, for example, cycling and the adoption of low-emission vehicles.Item Usar ou não software livre? Uma proposta matricial para apoiar a decisão da adoção ou não do software livre no ensino(Universidade Federal de Goiás, 2022-01-05) Stone, Daniel Chaffe; César, Marcelo Barbosa; http://lattes.cnpq.br/2320696253466080; Roriz Junior, Marcos Paulino; http://lattes.cnpq.br/1356289387726731; Aguirre, Alberto de Barros; César, Marcelo Barbosa; Roriz Junior, Marcos Paulino; Bevilacqua, Solon; Oliveira, Leandro Luís Galdino deCurrently, Higher Education Institutions in Brazil depend on software to carry out their activities. Thus, the choice of software to be used can influence the teaching process. And the institution budget Proprietary software can, among other things, disrupt the budget due to license costs and, in addition, there is the possibility of lock-in to proprietary standards and solutions. Free software (FS) can be an alternative, but it also can create other needs, such as training of students and technicians. Based on this, it is understandable the need to make a decision on which modality of software to use. Several studies have already identified factors that help this decision on adoption or not of FS. However, these works do not contemplate a method for decision making that considers the relevance of such factors. In this sense, this study proposes the construction of a decision-making matrix regarding the adoption or not of an FS considering the perception of different actors in the university. For this, the Analytical Hierarchy Process was used as a method to aid in multi-criteria decision making. The construction of this matrix was made using interviews with semi-structured scripts and questionnaires. The interviews was used to verify the adequacy of the identified factors to the local reality and the questionnaires for the creation of the matrix with the prioritized factors. Finally, the matrix was validated through a case study with the distinct actors. The results showed that the matrix enabled the identification of the most suitable software in accordance with the opinion of the actors and identified the criteria with the greatest and least impact in the evaluation of the software's characteristics.