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The Influence of Judges’ Managerial Competences on Judicial Performance: A Statistical Analysis Cover

The Influence of Judges’ Managerial Competences on Judicial Performance: A Statistical Analysis

Open Access
|Oct 2025

Figures & Tables

Figure 1

Organizational Chart of the Structure of the Brazilian Judiciary.

Table 1

Variables, Factors, and Factor Loadings of Judges’ Questionnaires.

VARIABLERESOLVABILITYOUTCOMES-BASED MANAGEMENTCOMMUNICATIONJUDICIAL PROCESS MANAGEMENT
Communicates clearly to achieve productivity targets0.5405
Encourages dialogue with the team0.8786
Monitors progress of delegated tasks0.63
Recognizes the team’s achievements0.6368
Holds regular meetings to monitor the judicial unit’s performance0.5253
Welcomes suggestions from staff for service improvements0.5599
Sets goals for the judicial unit0.8661
Renders sentence at hearings whenever possible to expedite the court proceedings0.6591
Approves agreements in conciliation sessions, with the parties present being summoned0.7302
Takes actions to expedite service to the external public0.9574
Monitors procedural reports from court systems0.8293
Works with a focus on achieving goals0.6784
Issues rulings and decisions, providing instructions to be followed by the clerk’s office in the event of future occurrences0.7463
Maintains communication with external stakeholders (Public Prosecutor’s Office, Public Defender’s Office, Lawyers, etc.) to establish an effective workflow0.5175
Table 2

Variables, factors and factor loadings of the court clerks’ questionnaires.

VARIABLELEADERSHIP AND TEAM MANAGEMENTJUDICIAL PROCESS MANAGEMENTPERFORMANCE MONITORING
Facilitates implementation of innovative work initiatives0.6761
Updates knowledge to enhance the judicial unit’s performance0.5859
Works actively to foster team integration0.7446
Communicates clearly to achieve productivity targets0.6832
Encourages dialogue with the team0.8974
Holds regular staff meetings on specific topics0.6916
Recognizes the team’s achievements0.7055
Celebrates team successes to acknowledge achieved results0.5288
Provides feedback on the quality of tasks performed by staff0.5769
Holds regular meetings to monitor the judicial unit’s performance0.6383
Maintains an approachable demeanor0.8874
Welcomes suggestions from staff for service improvements0.9269
Unifies the team around a common purpose0.7578
Renders sentence at hearings whenever possible to expedite the court proceedings0.7068
Approves agreements in conciliation sessions, with the parties present being summoned0.5261
Takes actions to expedite service to the external public0.5556
Monitors procedural reports from court systems0.9052
Works with a focus on achieving goals0.6818
Issues rulings and decisions, providing instructions to be followed by the clerk’s office in the event of future occurrences0.7572
Maintains communication with external stakeholders (Public Prosecutor’s Office, Public Defender’s Office, Lawyers, etc.) to establish an effective workflow0.5918
Table 3

Summary of regression measures for the backlog index, judges’ model.

FACTORBETA95% CI1P-VALUE
Resolvability–0.14–0.43 0.140.3
Outcomes-based Management0.30–0.02 0.630.065
Communication0.14–0.19 0.470.4
Judicial Process Management0.23–0.09 0.550.2

[i] CI1 = Confidence Interval.

R² = 0.156; Adjusted R² = 0.085; p-value = 0.082; Number of Observations: = 53.

Table 4

Summary of regression measures for the congestion rate, judges’ model.

FACTORBETA95% CI1P-VALUE
Resolvability–0.06–0.34 0.230.7
Outcomes-based Management–0.46–0.78 –0.140.006
Communication0.00–0.33 0.33>0.9
Judicial Process Management0.02–0.29 0.340.9

[i] CI1 = Confidence Interval.

R² = 0.172; Adjusted R² = 0.103; p-value = 0.055; Number of Observations: = 53.

Table 5

Summary of regression measures for the backlog index, court clerks’ model.

FACTORBETA95% CI1P-VALUE
Leadership and Team Management–0.22–0.49 0.040.10
Judicial Process Management0.320.07 0.560.011
Performance Monitoring–0.12–0.33 0.090.2

[i] CI1 = Confidence Interval.

R² = 0.044; Adjusted R² = 0.027; p-value = 0.052; Number of Observations: = 177.

Table 6

Summary measures of the congestion rate regression, court clerks’ model.

FACTORBETA95% CI1P-VALUE
Leadership and Team Management0.310.05 0.580.022
Process Management–0.32–0.57 –0.080.010
Performance Monitoring0.02–0.19 0.220.9

[i] CI1 = Confidence Interval.

R² = 0.042; Adjusted R² = 0.026; p-value = 0.058; Number of Observations: = 177.

DOI: https://doi.org/10.36745/ijca.609 | Journal eISSN: 2156-7964
Language: English
Page range: 4 - 4
Published on: Oct 8, 2025
Published by: International Association for Court Administration
In partnership with: Paradigm Publishing Services

© 2025 Livia Lúcia Oliveira Borba, Fabrício Castagna Lunardi, Tomas de Aquino Guimaraes, published by International Association for Court Administration
This work is licensed under the Creative Commons Attribution 4.0 License.