Detalhes bibliográficos
| Ano de defesa: |
2021 |
| Autor(a) principal: |
Ré, Pedro Henrique Ferst de
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| Orientador(a): |
Costa, Zoraide da Fonseca
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| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
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| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Estadual do Centro-Oeste
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| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Administração (Mestrado Profissional)
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| Departamento: |
Unicentro::Departamento de Ciências Sociais Aplicadas
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| País: |
Brasil
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| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://tede.unicentro.br:8080/jspui/handle/jspui/1685
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Resumo: |
Exponential growth in the generation of data has transformed social and organizational relationships. The use of data and information in a precise manner, continues and agile on the part of the organizations is fundamental for its continuity. Equally, the public sector demands these resources for the formulation of fair and adequate public policies. However, this stage is still lacking, with a low use of available data and information, including its misuse and late use. Therefore, this work seeks to propose a design project for the Observatory of Science, Technology and Innovation of Guarapuava-PR. For this, methodologically this resarch was developed through an exploratory investigation, through the case study, with a qualitative approach. The data was collected from semi-structured interviews with specialists and participant observation. For data analysis, the ComomonKADS methodology is used, which is subdivided into six phases: organization model, task model, agent model, knowledge model, communication model and design model. Allied to this methodology, if we use the assumptions of the theory of competitive intelligence to formulate the processes and tasks that the observatory conducts. As a result, one can see the design of the technological infrastructure for the observatory, developing the organizational aspects, processes, tasks and agents involved in the model. In addition, a software is proposed, as a proof of concept, providing greater dynamism to the data, overcoming problems evidenced in other organizations, in addition to offering scalability to the model. Finally, the investigation achieves its objectives, providing the guidelines and strategic planning necessary for the subsequent implementation of the OCT & IG. |
