Digital transformation and its relationship with the job performance of employees at a private university, 2023

• Autor: Arias Gonzales, Hilda Paola
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Universidad Cesar Vallejo
• Repositorio: UCV-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.ucv.edu.pe:20.500.12692/142778
• Enlace del recurso: https://hdl.handle.net/20.500.12692/142778
• Nivel de acceso: acceso embargado
• Materia: Transformación digital; Desempeño laboral; Educación virtual; Herramientas digitales; Calidad educativa; https://purl.org/pe-repo/ocde/ford#5.00.00

The adaptation of educational institutions to the virtual environment, typical of the changes brought about by the health crisis in 2020, had the purpose of improving educational quality through the use and application of digital tools. That is why the purpose of this research was to determine the impact that digital transformation generates on the work performance of employees of a private university in Peru and thereby improve educational quality. For this purpose, articles from prestigious journals and theoretical bases of digital transformation and job performance were analyzed, such as the national contribution by Bazzo et al. (2022) where the creation of virtual tools was promoted for better management of educational institutions and the recent publication by Pereira & Malagri (2023) where it was demonstrated that digital transformation significantly impacts the teaching-learning process, in the same way They proposed theoretical bases regarding the main study variables. Said this way, the main objective of the article is to determine the influence of digital transformation on job performance within the higher education sector, 2023. Likewise, the methodology used in the study was applied correlational and nonexperimental in the which a survey was applied to 104 workers (school heads, teachers and a director) of the university nationwide out of a total population of 144. The result showed the strong relationship between the study variables and the acceptance of the null hypotheses.