Modelo de clasificación del desempeño laboral apoyado en redes neuronales para instituciones universitarias

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dc.contributor.advisorLópez Gonzales, Javier Linkolk
dc.contributor.authorHuaman Fernandez, Ivan Wilmer
dc.date.accessioned2026-02-18T21:00:40Z
dc.date.available2026-02-18T21:00:40Z
dc.date.embargoEnd2028-02-13
dc.date.issued2026-02-13
dc.description.abstractA group of collaborators, composed of psychologists and administrative staff, after reviewing ways to measure job performance, decided to implement the methodology based on functions and general and specific competencies developed by Martha Alles [1]. Based on this methodology, a web-based software was implemented [2] to evaluate performance. The performance evaluation is conducted once a year and involves teaching, non-teaching, administrative, and management staff [3]. Competency-based job performance is a modern method of human talent management that not only measures a worker’s achievements, but also the way in which he or she achieves them, i.e., the skills he or she uses to reach his or her goals. Martha Alles, a leader in human resources management in Latin America, proposes a structured approach that directly links the skills model to performance evaluation, accounting for both technical and behavioral skills. According to Alles, competencies are a set of knowledge, skills, and attitudes that are observable and affect job performance. They can be measured with objective tests. His approach uses tools such as the assessment center, 360°, 180°, and 90° assessment, competency interviews, and behavioral scales to ensure a comprehensive examination of individual and group performance [4]. According to Martha Alles methodology, performance is also defined as the observed display of abilities, behaviors, and knowledge aligned with the role and strategy. The model consists of a list of competencies, sets of competencies, a job profile with clearly defined functions, and individual development plans. [5] Numerous international organizations have adopted Martha Alles’s methodology. In Colombia, a competency-based microbusiness management model has been imple- mented using Alles’ methodology to assess and develop employee competencies [6]. In the academic field, 360-degree competency-based evaluation has also been used to improve student performance in educational institutions [7]. In different countries, Martha Alles is not explicitly mentioned, but performance evaluations based on competencies aligned with the methodology she proposes have been implemented. La National Distance Education University UNED (Spain) and the Catholic University of Santiago de Guayaquil (Ecuador) they have designed a competency-based training model for teachers and education professionals with the aim of evaluating competencies and their great importance in the teaching process the results show that teachers between the ages of 25 and 35 prefer to value planning, communication, evaluation, methodology, digital, and tutoring skills, while those over 55 emphasize the importance of digital and innovation skills. [8] In Peru, studies were conducted using a non-experimental, cross-sectional design with a descriptive-propositional approach. The results showed deficiencies in specific processes related to personnel selection and hiring, as well as a lack of incentives affecting staff development and motivation. When the model was implemented in human resources, it proved effective in improving work performance. [9]
dc.description.escuelaEscuela de Posgrado
dc.description.lineadeinvestigacionInteligencia de negocios
dc.description.sedeLima
dc.formatapplication/pdf
dc.identifier.urihttps://hdl.handle.net/20.500.12840/9808
dc.language.isoeng
dc.publisherUniversidad Peruana Unión
dc.publisher.countryPE
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectDesempeño laboral
dc.subjectRedes neuronales
dc.subjectInstituciones universitarias
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.02.00
dc.titleModelo de clasificación del desempeño laboral apoyado en redes neuronales para instituciones universitarias
dc.typeinfo:eu-repo/semantics/masterThesis
renati.advisor.dni46071566
renati.advisor.orcidhttps://orcid.org/0000-0003-0847-0552
renati.author.dni43421244
renati.discipline612467
renati.jurorAltez Ortiz, Ethel
renati.jurorAbanto Ramírez, Carlos Daniel
renati.jurorTocto Cano, Esteban
renati.jurorCenturión Julca. Lennin Henry
renati.jurorLópez Gonzales, Javier Linkolk
renati.levelhttps://purl.org/pe-repo/renati/level#maestro
renati.typehttp://purl.org/pe-repo/renati/type#trabajoDeInvestigacion
thesis.degree.disciplineMaestría en Ingeniería de Sistemas con Mención en Dirección y Gestión en Tecnología de Información
thesis.degree.grantorUniversidad Peruana Unión. Unidad de Posgrado de Ingeniería y Arquitectura
thesis.degree.nameMaestro en Ingeniería de Sistemas con Mención en Dirección y Gestión en Tecnología de Información

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