Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.

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The purpose of this study was to evaluate employers´ perception considering some aspects to improve related to engineering college graduates´ general and specific competencies. The MaxDiff statistical technique, which uses the attribute competency, was applied to better understand the relative order...

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Detalles Bibliográficos
Autores: Oblitas, J., Zavaleta-Gonzales, L.N.
Formato: objeto de conferencia
Fecha de Publicación:2024
Institución:Universidad Nacional de Cajamarca
Repositorio:UNC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.unc.edu.pe:20.500.14074/10053
Enlace del recurso:http://hdl.handle.net/20.500.14074/10053
https://doi.org/10.1109/EDUNINE60625.2024.10500674
Nivel de acceso:acceso abierto
Materia:Employer Satisfaction
Engineering Graduates
https://purl.org/pe-repo/ocde/ford#5.03.01
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spelling Oblitas, J.Zavaleta-Gonzales, L.N.Brito, C.d.R.Ciampi, M.M.2026-03-04T16:52:02Z2026-03-04T16:52:02Z2024http://hdl.handle.net/20.500.14074/10053https://doi.org/10.1109/EDUNINE60625.2024.10500674The purpose of this study was to evaluate employers´ perception considering some aspects to improve related to engineering college graduates´ general and specific competencies. The MaxDiff statistical technique, which uses the attribute competency, was applied to better understand the relative order and importance of such competency. The sample consisted of 54 employers and the instruments used were worked at a 95% confidence level. Results show that the top competencies valued by the employers are the graduates´ problem-solving abilities and teamwork skills. With respect to the specific competencies, results show that graduates are well qualified for their professional comments and their ability to allign their studies experience in college with their experience of working in a company. It is concluded that the MaxDiff approach could be used to obtain valuable information from employers about graduates’ competencies and their approaches in university curriculum.application/pdfengInstitute of Electrical and Electronics Engineers Inc.https://www.scopus.com/pages/publications/85191982010https://www.scopus.com/pages/publications/85191982010EDUNINE 2024 - 8th IEEE World Eng. Educ. Conf. Proc. 2024EDUNINE 2024 - 8th IEEE World Eng. Educ. Conf. Proc. 2024info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Employer SatisfactionEngineering Graduateshttps://purl.org/pe-repo/ocde/ford#5.03.01Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:UNC-Institucionalinstname:Universidad Nacional de Cajamarcainstacron:UNC20.500.14074/10053oai:repositorio.unc.edu.pe:20.500.14074/100532026-03-12 10:55:15.976Universidad Nacional de Cajamarcarepositorio@unc.edu.pe
dc.title.es_PE.fl_str_mv Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
title Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
spellingShingle Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
Oblitas, J.
Employer Satisfaction
Engineering Graduates
https://purl.org/pe-repo/ocde/ford#5.03.01
title_short Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
title_full Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
title_fullStr Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
title_full_unstemmed Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
title_sort Using MaxDiff Analysis to Measure Employer Satisfaction with Engineering Graduates.
author Oblitas, J.
author_facet Oblitas, J.
Zavaleta-Gonzales, L.N.
author_role author
author2 Zavaleta-Gonzales, L.N.
author2_role author
dc.contributor.editor.es_PE.fl_str_mv Brito, C.d.R.
Ciampi, M.M.
dc.contributor.author.fl_str_mv Oblitas, J.
Zavaleta-Gonzales, L.N.
dc.subject.es_PE.fl_str_mv Employer Satisfaction
Engineering Graduates
topic Employer Satisfaction
Engineering Graduates
https://purl.org/pe-repo/ocde/ford#5.03.01
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.03.01
description The purpose of this study was to evaluate employers´ perception considering some aspects to improve related to engineering college graduates´ general and specific competencies. The MaxDiff statistical technique, which uses the attribute competency, was applied to better understand the relative order and importance of such competency. The sample consisted of 54 employers and the instruments used were worked at a 95% confidence level. Results show that the top competencies valued by the employers are the graduates´ problem-solving abilities and teamwork skills. With respect to the specific competencies, results show that graduates are well qualified for their professional comments and their ability to allign their studies experience in college with their experience of working in a company. It is concluded that the MaxDiff approach could be used to obtain valuable information from employers about graduates’ competencies and their approaches in university curriculum.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2026-03-04T16:52:02Z
dc.date.available.none.fl_str_mv 2026-03-04T16:52:02Z
dc.date.issued.fl_str_mv 2024
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format conferenceObject
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.14074/10053
dc.identifier.doi.es_PE.fl_str_mv https://doi.org/10.1109/EDUNINE60625.2024.10500674
url http://hdl.handle.net/20.500.14074/10053
https://doi.org/10.1109/EDUNINE60625.2024.10500674
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.es_PE.fl_str_mv https://www.scopus.com/pages/publications/85191982010
https://www.scopus.com/pages/publications/85191982010
EDUNINE 2024 - 8th IEEE World Eng. Educ. Conf. Proc. 2024
EDUNINE 2024 - 8th IEEE World Eng. Educ. Conf. Proc. 2024
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.es_PE.fl_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:UNC-Institucional
instname:Universidad Nacional de Cajamarca
instacron:UNC
instname_str Universidad Nacional de Cajamarca
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reponame_str UNC-Institucional
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repository.name.fl_str_mv Universidad Nacional de Cajamarca
repository.mail.fl_str_mv repositorio@unc.edu.pe
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