Methodologies for measuring the quality of services applied to a university library

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The work has identified four dimensións related to service quality of the Library of the Universidad Nacional Mayor de San Marcos UNMSM. Three of them, which has been called “Tangible Aspects, Empathy and Reliability” can be considered equivalent to those originally obtained by Parasuraman, Zeithaml...

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Detalles Bibliográficos
Autor: Cevallos Ampuero, Juan
Formato: artículo
Fecha de Publicación:2011
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/6228
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6228
Nivel de acceso:acceso abierto
Materia:measuring service quality
library
factorial analysis
k means
neural networks
medición de la calidad de servicios
biblioteca
análisis factorial
redes neuronales
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spelling Methodologies for measuring the quality of services applied to a university libraryMetodologías de medición de la calidad de los servicios aplicadas a una biblioteca universitariaCevallos Ampuero, Juanmeasuring service qualitylibraryfactorial analysisk meansneural networksmedición de la calidad de serviciosbibliotecaanálisis factorialk meansredes neuronalesThe work has identified four dimensións related to service quality of the Library of the Universidad Nacional Mayor de San Marcos UNMSM. Three of them, which has been called “Tangible Aspects, Empathy and Reliability” can be considered equivalent to those originally obtained by Parasuraman, Zeithaml and Berry. The remaining dimensión is the integrated by Capacity of Response and Security has been called “Response-Security”. The dimensións found are consistent with the findings of other research in the university sector, but not included among those found by those authors. Also, has been tested the use of Neural Networks techniques and grouping with K Means, giving an equivalent result to factorial analysis. In the case of neural networks was used competitive learning with Learning Vector Quantitative LVQ.El trabajo realizado ha permitido identificar cuatro dimensiónes relacionadas con la calidad de servicio de la Biblioteca de la Universidad Nacional Mayor de San Marcos UNMSM. Tres de ellas, las que se han denominado “Aspectos Tangibles, Empatía y Fiabilidad “, pueden considerarse equivalentes a las inicialmente obtenidas por Parasuraman, Zeithaml y Berry. La restante, es la integración de Capacidad de Respuesta y Seguridad que se ha denominado “Respuesta–Seguridad”. Las dimensiónes encontradas son coincidentes con lo hallado en otras investigaciones realizadas dentro del sector educativo universitario, pero no están incluidas dentro de las encontradas por dichos autores. Asimismo, se probó el uso de las técnicas de redes neuronales y agrupación con k means; dando un resultado equivalente al del análisis factorial. En el caso de redes neuronales se utilizaron las de Aprendizaje Competitivo con Learning Vector Quantitative LVQ.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2011-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/622810.15381/idata.v14i2.6228Industrial Data; Vol. 14 No. 2 (2011); 082-092Industrial Data; Vol. 14 Núm. 2 (2011); 082-0921810-99931560-9146reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6228/5434Derechos de autor 2011 Juan Cevallos Ampuerohttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/62282021-07-14T10:15:58Z
dc.title.none.fl_str_mv Methodologies for measuring the quality of services applied to a university library
Metodologías de medición de la calidad de los servicios aplicadas a una biblioteca universitaria
title Methodologies for measuring the quality of services applied to a university library
spellingShingle Methodologies for measuring the quality of services applied to a university library
Cevallos Ampuero, Juan
measuring service quality
library
factorial analysis
k means
neural networks
medición de la calidad de servicios
biblioteca
análisis factorial
k means
redes neuronales
title_short Methodologies for measuring the quality of services applied to a university library
title_full Methodologies for measuring the quality of services applied to a university library
title_fullStr Methodologies for measuring the quality of services applied to a university library
title_full_unstemmed Methodologies for measuring the quality of services applied to a university library
title_sort Methodologies for measuring the quality of services applied to a university library
dc.creator.none.fl_str_mv Cevallos Ampuero, Juan
author Cevallos Ampuero, Juan
author_facet Cevallos Ampuero, Juan
author_role author
dc.subject.none.fl_str_mv measuring service quality
library
factorial analysis
k means
neural networks
medición de la calidad de servicios
biblioteca
análisis factorial
k means
redes neuronales
topic measuring service quality
library
factorial analysis
k means
neural networks
medición de la calidad de servicios
biblioteca
análisis factorial
k means
redes neuronales
description The work has identified four dimensións related to service quality of the Library of the Universidad Nacional Mayor de San Marcos UNMSM. Three of them, which has been called “Tangible Aspects, Empathy and Reliability” can be considered equivalent to those originally obtained by Parasuraman, Zeithaml and Berry. The remaining dimensión is the integrated by Capacity of Response and Security has been called “Response-Security”. The dimensións found are consistent with the findings of other research in the university sector, but not included among those found by those authors. Also, has been tested the use of Neural Networks techniques and grouping with K Means, giving an equivalent result to factorial analysis. In the case of neural networks was used competitive learning with Learning Vector Quantitative LVQ.
publishDate 2011
dc.date.none.fl_str_mv 2011-12-30
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6228
10.15381/idata.v14i2.6228
url https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6228
identifier_str_mv 10.15381/idata.v14i2.6228
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6228/5434
dc.rights.none.fl_str_mv Derechos de autor 2011 Juan Cevallos Ampuero
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2011 Juan Cevallos Ampuero
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Industrial Data; Vol. 14 No. 2 (2011); 082-092
Industrial Data; Vol. 14 Núm. 2 (2011); 082-092
1810-9993
1560-9146
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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