cris.boxmetadata.label.title
Study of Post-COVID-19 Employability in Peru through a Dynamic Model, Between 2020 and 2025
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.january 2021
cris.boxmetadata.label.accesslevel
open access
cris.boxmetadata.label.resourcetype
journal article
cris.boxmetadata.label.authors
Arias Marreros R.R.
Nalvarte Dionisio K.V.
Romero Tuanama L.A.
Quiroz Gutarra J.A.
ANDRADE ARENAS, LABERIANO MATIAS
cris.boxmetadata.label.publisher
Science and Information Organization
cris.boxmetadata.label.abstract
The research work is focused on the sector of the population that will have a job, taking into account that the pandemic was a problem that resulted in many people losing their jobs due to the economic crisis that affected all countries because the first half of the year 2020 the equivalent of 400 million full-time jobs were lost and there was a 14% drop in working hours worldwide, also in Lima 1.2 million people were left without work. For this reason, a dynamic analysis was developed for the projection of post-COVID19 employability in Peru from 2020 to 2025 to obtain an approximate knowledge of the population's labor outlook, implementing system dynamics as a methodology since it includes this recommendation, given that any model built through its application will be based on the opinion of those involved in the system to be represented. In this work, system dynamics is presented as a very useful methodology for the analysis of complex problems, developing the Forrester and causal diagram with the help of Vensim software. As a result, the approximate number of jobs that will be available was visualized, and it was observed that the future of employability will be at risk, which is why a good government strategy is necessary so that this does not happen since people need to satisfy their professional, economic and development needs.
cris.boxmetadata.label.citationstartpage
620
cris.boxmetadata.label.citationendpage
625
cris.boxmetadata.label.volume
12
cris.boxmetadata.label.issue
1
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Temas sociales
cris.boxmetadata.label.subjects
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85100383666
cris.boxmetadata.label.source
International Journal of Advanced Computer Science and Applications
cris.boxmetadata.label.containerissn
2158107X
peru-layout.shadow-copies
Directorio de Producción Científica
Scopus