Methodologies for measuring the quality of services applied to a university library
Descripción del Articulo
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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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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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 |
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repository.mail.fl_str_mv |
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1795238300070445056 |
score |
13.836569 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).