Detalhes bibliográficos
| Ano de defesa: |
2019 |
| Autor(a) principal: |
Moraes Junior, Daniel Caetano de
 |
| Orientador(a): |
Fuchigami, Hélio Yochihiro |
| Banca de defesa: |
Fuchigami, Hélio Yochihiro,
Monteiro, Waleska de Fátima,
Caldeira, Pedro Jorge Zany Pampulim Martins |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal de Goiás
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| Programa de Pós-Graduação: |
PROFIAP - Programa de Pós-graduação em Administração Pública Andifes (FCT)
|
| Departamento: |
Faculdade de Ciências e Tecnologia - FCT (RG)
|
| País: |
Brasil
|
| 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://repositorio.bc.ufg.br/tede/handle/tede/9727
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Resumo: |
Data Envelopment Analysis (DEA) is already a widely used tool in the comparison of efficiency among Brazilian Courts, being used by the National Justice Council (CNJ) in the Justice in Numbers program. However, the same is not so often the case when it comes to comparing the counties of a particular court. The objective of this work is to use the DEA as a tool to comparatively evaluate efficiency among the TJGO Counties making possible the identification of possible improvement points. During the selection phase of the variables, it was necessary to resort to several databases, spread by multiple boards, which ended up showing a weakness of the Strategic Management Secretariat (SGE), which is not to have a database unified approach aimed at better decision-making by the TJGO manager. This is evidenced by the lack of an internal methodology for comparing the performance of districts and departments, which in this point strengthens the importance of this work. Once the difficulty of meeting the initial set of variables was overcome, due to their plurality and in order to give more credibility to the chosen methodology, to apply a scientific criterion to select the most representative among the group of variables presented. For that, the technique called Multi-Criteria Combinatory by Scenarios was chosen, which was adequate, selecting a total of six variables before a set of eight. After selecting the variables, the output-oriented DEA methodology was applied in the Banker, Charnes and Cooper (BCC) variant, and the result was consistent with the initial objective of this study. There has also been a Decision Support Panel, where it is possible to identify which points can be improved in each Region so that they achieve maximum relative efficiency. |
