JavaScript está deshabilitado
La función JavaScript de su navegador está deshabilitada. Deberá habilitarla para utilizar esta función de ConfTool.
Podrá encontrar aquí información sobre cómo habilitar JavaScript
Si tiene algún problema, póngase en contacto con los organizadores en laccei2026@conftool.pro.

Programa del congreso

Resúmenes y datos de las sesiones para este congreso. Seleccione una fecha o ubicación para mostrar solo las sesiones en ese día o ubicación. Seleccione una sola sesión para obtener una vista detallada (con resúmenes y descargas, si están disponibles).

Tenga en cuenta que todos los horarios se muestran en la zona horaria del congreso. La hora actual del congreso es: 24/08/2026 05:30:26 America, Santiago

Resumen diario

Sesión

34D: Curriculum Improvement
Ubicación virtual: VIRTUAL: Agora Meetings

Presentación 3

13:16 - 13:24

Influence of Digital Competencies on the Sustainable Employability of Future Engineers: Evidence from the Agro-Industrial Sector of the Northern Macro-Region

CAROLINA DE LOURDES FALLA GÓMEZ¹, LIDIA MERCEDES OLAYA GUERRERO², AGUSTÍN MEDINA MARCHENA³, SANDRA MORY GUARNIZO⁴, CHRISTIAN DAVID CORRALES OTAZÚ⁵, SARITA JESSICA APAZA MIRANDA⁶, ANGELICA MARIA MINCHOLA VASQUEZ⁷

1: Universidad César Vallejo - (PE), Perú; 2: Universidad César Vallejo - (PE); 3: Universidad César Vallejo - (PE); 4: Universidad Señor de Sipán - (PE); 5: Universidad Católica de Santa María de Arequipa - (PE); 6: Universidad Continental - (PE); 7: Universidad César Vallejo - (PE)

This study aimed to analyze the effect of Industry 4.0–oriented Digital Competencies on Green Employability Intention among future engineers in the agroindustrial sector of Peru’s Northern Macro-Region, while also assessing the direct effect of University–Industry Linkages (UIL) and its moderating role. A quantitative approach was applied using a non-experimental, cross-sectional, explanatory design. A 12-item Likert questionnaire was administered to 384 students enrolled in the 7th to 10th academic cycles, and hypotheses were tested through Structural Equation Modeling. Measurement results showed strong psychometric properties (high factor loadings, reliability α/ω=.89–.93, AVE>.67, and adequate discriminant validity) and the structural model exhibited satisfactory fit (CFI=.965; TLI=.958; RMSEA=.052; SRMR=.041). Findings supported that digital competencies positively and significantly predicted green employability intention (β=0.35; p<.001), and UIL also had a significant positive direct effect (β=0.28; p<.001). Importantly, UIL moderated the main relationship (β=0.18; p=.001), strengthening the effect at higher linkage levels (β=0.53) and indicating a functional threshold around 2.90. It was concluded that green employability intention was shaped by the joint contribution of digital capital and institutional connectivity. Recommendations included embedding measurable environmental challenges into Industry 4.0 training, expanding internships and joint projects with firms, and prioritizing partnerships with organizations demonstrating verifiable sustainability practices.