Managerial competence as a necessary but insufficient condition for unit-level performance

Purpose This study examines whether managerial competence proficiency influences unit-level performance and whether this relationship is better understood through sufficiency or necessity causal logics. Design/methodology/approach We analyzed organization-generated competence appraisal data for 674 branch managers from a large nationwide bank. Using both regression analysis and necessary condition analysis (NCA), we examined whether managerial competencies explain variation in unit-level performance and whether minimum competence levels are required for high performance outcomes. Findings Regression results indicate that managerial competence alone does not strongly explain variation in unit-level performance. However, NCA results suggest that managerial competence functions as a qualifying condition that enables high performance outcomes. Practical implications The findings suggest that competence-based HR systems may benefit from treating managerial competence as a foundational capability condition that supports high performance when combined with appropriate organizational and contextual factors. Originality/value This study provides a relatively rare large-scale empirical examination of whether organization-generated managerial competence appraisal data predict unit-level performance. It also contributes by integrating sufficiency- and necessity-based analytical approaches, demonstrating how different causal logics generate distinct interpretations of the competence–performance relationship.

Authors

Institutions

Publication Details

Journal
Journal of Organizational Effectiveness People and Performance
Published
2026-06-29
DOI
https://doi.org/10.1108/joepp-11-2025-1007
Primary Topic
Competency Development and Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Managerial competence as a necessary but insufficient condition for unit-level performance

Thomaz Wood, Miguel Caldas, Rodolfo Furtado De Carvalho Bullara, André Samartini
Journal of Organizational Effectiveness People and Performance
Competency Development and Evaluation
article

Managerial competence as a necessary but insufficient condition for unit-level performance

Thomaz Wood, Miguel Caldas, Rodolfo Furtado De Carvalho Bullara, André Samartini
article en

Abstract

Purpose This study examines whether managerial competence proficiency influences unit-level performance and whether this relationship is better understood through sufficiency or necessity causal logics. Design/methodology/approach We analyzed organization-generated competence appraisal data for 674 branch managers from a large nationwide bank. Using both regression analysis and necessary condition analysis (NCA), we examined whether managerial competencies explain variation in unit-level performance and whether minimum competence levels are required for high performance outcomes. Findings Regression results indicate that managerial competence alone does not strongly explain variation in unit-level performance. However, NCA results suggest that managerial competence functions as a qualifying condition that enables high performance outcomes. Practical implications The findings suggest that competence-based HR systems may benefit from treating managerial competence as a foundational capability condition that supports high performance when combined with appropriate organizational and contextual factors. Originality/value This study provides a relatively rare large-scale empirical examination of whether organization-generated managerial competence appraisal data predict unit-level performance. It also contributes by integrating sufficiency- and necessity-based analytical approaches, demonstrating how different causal logics generate distinct interpretations of the competence–performance relationship.

Journal of Organizational Effectiveness People and Performance
The University of Texas at Tyler (US), European Association of Social Psychology (DE)
Openalex Percentile: Top 6%
Competency Development and Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.