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PREDICTIVE MODEL OF JOB PERFORMANCE BASED ON TRANSFORMATIONAL LEADERSHIP AND EMOTIONAL INTELLIGENCE: QUANTITATIVE EVIDENCE IN A COMMERCIAL COMPANY IN PERU (#530)

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Date of Conference

July 15-17, 2026

Published In

"Engineering without Borders: Artificial Intelligence, Knowledge, Innovation, and Alliances for a Future from the Americas"

Location of Conference

Santiago (Chile)

Authors

Balvin Azaña, Roman Junior

Collazos Salazar, Camilo Odulmiro

Valdivia Arenas, Carmen Rosa

Robles Fabian, Daniel Amadeo

Monterroso Coronado, Cesar Antonio

Nuñez Morante, George David

Gonzales Anampa, Luis Omar

Abstract

This research evaluates the effect of emotional intelligence and transformational leadership on job performance in a commercial company in Lima, Peru. A quantitative approach with a non-experimental, cross-sectional design and census sampling (n=60) was used. Linear regression models (simple and multiple) were estimated to test general and specific hypotheses. The results show that, together, emotional intelligence and transformational leadership significantly predict job performance, achieving a high model fit (R=0.955; adjusted R²≈0.910). Furthermore, emotional intelligence (adjusted R²≈0.903) and transformational leadership (adjusted R²≈0.759) also show significant effects when assessed separately. Implications for evidence-based organizational management are discussed, proposing actions for developing emotional competencies and leadership skills to strengthen job performance.

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