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dc.contributor.authorUbalde Enriquez, Rembrandt
dc.contributor.authorCerna Fukuzaki, Francisco Genaro
dc.date.accessioned2020-09-03T21:15:31Z
dc.date.available2020-09-03T21:15:31Z
dc.date.issued2020
dc.identifier.issn2394-5125
dc.identifier.urihttps://hdl.handle.net/20.500.12867/3067
dc.description.abstractThis paper deals with the automation of psychological assessments to help to select the right candidate for the organization during the recruitment process on a human resources consulting firm. The solution was developed with Kanban Method and cloud computing, such as Amazon Web Services (AWS), where it was integrated and launched with other services to improve security and operativity. Experiments were divided into functionalities: (1) an interface for mobile phones and (2) notifying recruiter by SMS and Email when candidate finalize the tests. The results show improved recruiter response time to analyze test results and prepare psychological reports in two and a half months. The recruiter's performance increased by up to 5% in person-hours.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenes_PE
dc.publisherInnovare Academics Sciences Pvt.es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.sourceUniversidad Tecnológica del Perúes_PE
dc.sourceRepositorio Institucional - UTPes_PE
dc.subjectPsychological assessmentses_PE
dc.subjectAutomationes_PE
dc.subjectCloud computinges_PE
dc.subjectE-recruitment processes_PE
dc.subjectEvaluaciones psicológicases_PE
dc.subjectAutomatización de procesoses_PE
dc.subjectComputación en la nubees_PE
dc.subjectContratación electrónicaes_PE
dc.titleAutomation psychological assessments with cloud computinges_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journalJournal of Critical Reviews
dc.description.peer-reviewRevisión por pares de doble ciego
dc.identifier.doihttps://doi.org/10.31838/jcr.07.15.208
dc.subject.ocdeSistemas de automatización, Sistemas de controles_PE
dc.description.sedeCampus Lima Centroes_PE
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_PE


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