The frontier of jurisdictional excellence: new perspectives of economics given digital transformation in Brazil’s ecosystem

The objective was to understand phenomena related to the efficiency function of the Brazilian justice system by estimating 16 Generalized Linear Models [GLM]. The Crisp-DM and Rastro-DM methodologies provided a summarized overview of the learning and optimization trajectory. The Global Justice (60) entities include the State Courts of Justice [TJEstaduals] (27), Regional Labor Courts (27) [TRTs], and Federal Regional Courts [TRFs] (6). The initial analysis of four straightforward linear models linked efficiency to time from 2014 to 2021. The significance of the parameters from the TJEstaduals sample led to their selection for the multivariate modeling stage, which included nine variables covering the entire timeframe from 2009 to 2022.

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Publication Details

Journal
Mitteilungen Klosterneuburg
Published
2025-01-01
DOI
https://doi.org/10.61586/vdkzu
Primary Topic
Digital Platforms and Economics
Type
article
Field-Weighted Citation Impact
0.00
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article

The frontier of jurisdictional excellence: new perspectives of economics given digital transformation in Brazil’s ecosystem

Aline Araujo Perini, Ricardo Francisco Esposto, Carlos A. Grespan Bonacim
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Mitteilungen Klosterneuburg
Digital Platforms and Economics
article

The frontier of jurisdictional excellence: new perspectives of economics given digital transformation in Brazil’s ecosystem

Aline Araujo Perini, Ricardo Francisco Esposto, Carlos A. Grespan Bonacim
article en

Abstract

The objective was to understand phenomena related to the efficiency function of the Brazilian justice system by estimating 16 Generalized Linear Models [GLM]. The Crisp-DM and Rastro-DM methodologies provided a summarized overview of the learning and optimization trajectory. The Global Justice (60) entities include the State Courts of Justice [TJEstaduals] (27), Regional Labor Courts (27) [TRTs], and Federal Regional Courts [TRFs] (6). The initial analysis of four straightforward linear models linked efficiency to time from 2014 to 2021. The significance of the parameters from the TJEstaduals sample led to their selection for the multivariate modeling stage, which included nine variables covering the entire timeframe from 2009 to 2022.

Mitteilungen Klosterneuburg
Openalex Percentile: Top 89%
Digital Platforms and Economics
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