Classification of competences according to their difficulty in detecting human talent

Reynier Israel Ramírez Molina; Luis Carlos Páez Puerta; Aracelly Valentina Vera Arenas; Omar El Kadi

doi:10.0833/rgn.v5i2.242

Reynier Israel Ramírez Molina Universidad de la Costa
Luis Carlos Páez Puerta Universidad de la Costa
Aracelly Valentina Vera Arenas Universidad de la Costa
Omar El Kadi Southern Alberta Institute of Technology

DOI: https://doi.org/10.0833/rgn.v5i2.242

Keywords: Classification of competencies, Difficulty of detecting human talent, Competencies, Human talent, Human talent competencies

Abstract

The research seeks to determine the classification of competencies according to their difficulty in detecting human talent at the Hotel Campestre Santa Catalina of the Municipality of San Gil - Santander. With a quantitative method, descriptive type, field design, cross-sectional and non-experimental, using twelve 12 subjects as observation units. The survey technique was used, and a 15-item structured questionnaire was used as an instrument, validated by the judgment of five (5) experts, with a reliability of (0.82) according to Cronbach's Alpha coefficient, being highly reliable. Data analysis was performed by coding and tabulation, with the IBM SPSS Statistics V.22 program. The results show that the total arithmetic mean is 3.99 percentage points, reflecting the sum of trends 74% positive, 19% neutral and 7% negative, categorizing the variable as present in the human management model by competencies of the object of study. It is concluded that these findings present a positive trend in human talent processes, stimulating the participation of collaborators to integrate into the organization's strategies and optimize the resources in the jobs, given by the specific competencies of the collaborators.