Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales
Day by day becomes more important for companies to own a database of loyal customers, because the continuous follow up and expanding business with them gives a bigger profitability that getting new customers. Several methodologies have been used for satisfaction measure and loyalty of customers, most...
- Autores:
-
Romero, Robert
Babativa, Giovanny
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Repositorio Institucional USTA
- Idioma:
- spa
eng
- OAI Identifier:
- oai:repository.usta.edu.co:11634/6476
- Palabra clave:
- Direct effect; DWLS; exploratory factor analysis; indirect effect; latent variable; measure model.
Análisis factorial exploratorio; DWLS; efecto directo; efecto indirecto; modelo de medida; variable latente.
- Rights
- License
- Copyright (c) 2016 Comunicaciones en Estadística
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Romero, RobertBabativa, Giovanny2016-09-29https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/236310.15332/s2027-3355.2016.0002.01Day by day becomes more important for companies to own a database of loyal customers, because the continuous follow up and expanding business with them gives a bigger profitability that getting new customers. Several methodologies have been used for satisfaction measure and loyalty of customers, most of them are based on Behavioural Psychology from positivist approach and leverages description of manifest behaviors measured directly and whose main objective is establish the direct importance that each service driver has about loyalty, as in case of methodologies based on regression models. In this paper I illustrate an application of a Loyalty Model that looking for through an analysis of Structural Equation Modeling with latent variables, define the size of effect on the loyalty for phenomena like overall satisfaction with service, repurchase intention and recommendation. Cada día toma mayor importancia para las empresas contar con bases de datos de clientes leales, ya que el continuo seguimiento y la ampliación de negocios con ellos otorga mayor rentabilidad que la consecución de nuevos clientes. Son varias las metodologías que se han utilizado con la finalidad de medir la satisfacción y lealtad, la mayoría de ellas están basadas en la Psicología Conductista propia del Positivismo y se apalanca en la descripción de conductas manifiestas medidas directamente y que tienen como principal objetivo establecer la importancia directa que cada driver del servicio tiene sobre la lealtad, tal es el caso de las metodologías basadas en Modelos de Regresión. En este artículo ejemplifico la aplicación de un Modelo de Lealtad que busca a través de un análisis de Ecuaciones Estructurales con variables latentes, determinar el tamaño del efecto que tienen sobre la lealtad fenómenos como la satisfacción con el servicio, la intención de recompra y la recomendación. application/pdfapplication/pdftext/plainspaengUniversidad Santo Tomáshttps://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363/3123https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363/3266https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363/3587Comunicaciones en Estadística; Vol. 9, Núm. 2 (2016); 165-197 (157-186 English)2339-30762027-3355Comunicaciones en Estadística; Vol. 9, Núm. 2 (2016); 165-197 (157-186 English)Copyright (c) 2016 Comunicaciones en Estadísticahttp://purl.org/coar/access_right/c_abf2Modelo de Lealtad a partir de un Análisis de Ecuaciones EstructuralesLoyalty Model from a Structural Equation Model Analysisinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Direct effect; DWLS; exploratory factor analysis; indirect effect; latent variable; measure model.Análisis factorial exploratorio; DWLS; efecto directo; efecto indirecto; modelo de medida; variable latente.11634/6476oai:repository.usta.edu.co:11634/64762023-07-14 16:32:53.569metadata only accessRepositorio Universidad Santo Tomásnoreply@usta.edu.co |
dc.title.spa.fl_str_mv |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
dc.title.alternative.eng.fl_str_mv |
Loyalty Model from a Structural Equation Model Analysis |
title |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
spellingShingle |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales Direct effect; DWLS; exploratory factor analysis; indirect effect; latent variable; measure model. Análisis factorial exploratorio; DWLS; efecto directo; efecto indirecto; modelo de medida; variable latente. |
title_short |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
title_full |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
title_fullStr |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
title_full_unstemmed |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
title_sort |
Modelo de Lealtad a partir de un Análisis de Ecuaciones Estructurales |
dc.creator.fl_str_mv |
Romero, Robert Babativa, Giovanny |
dc.contributor.author.spa.fl_str_mv |
Romero, Robert Babativa, Giovanny |
dc.subject.proposal.eng.fl_str_mv |
Direct effect; DWLS; exploratory factor analysis; indirect effect; latent variable; measure model. |
topic |
Direct effect; DWLS; exploratory factor analysis; indirect effect; latent variable; measure model. Análisis factorial exploratorio; DWLS; efecto directo; efecto indirecto; modelo de medida; variable latente. |
dc.subject.proposal.spa.fl_str_mv |
Análisis factorial exploratorio; DWLS; efecto directo; efecto indirecto; modelo de medida; variable latente. |
description |
Day by day becomes more important for companies to own a database of loyal customers, because the continuous follow up and expanding business with them gives a bigger profitability that getting new customers. Several methodologies have been used for satisfaction measure and loyalty of customers, most of them are based on Behavioural Psychology from positivist approach and leverages description of manifest behaviors measured directly and whose main objective is establish the direct importance that each service driver has about loyalty, as in case of methodologies based on regression models. In this paper I illustrate an application of a Loyalty Model that looking for through an analysis of Structural Equation Modeling with latent variables, define the size of effect on the loyalty for phenomena like overall satisfaction with service, repurchase intention and recommendation. |
publishDate |
2016 |
dc.date.issued.spa.fl_str_mv |
2016-09-29 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.drive.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.identifier.spa.fl_str_mv |
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363 10.15332/s2027-3355.2016.0002.01 |
url |
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363 |
identifier_str_mv |
10.15332/s2027-3355.2016.0002.01 |
dc.language.iso.spa.fl_str_mv |
spa eng |
language |
spa eng |
dc.relation.spa.fl_str_mv |
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363/3123 https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363/3266 https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/2363/3587 |
dc.relation.citationissue.spa.fl_str_mv |
Comunicaciones en Estadística; Vol. 9, Núm. 2 (2016); 165-197 (157-186 English) 2339-3076 2027-3355 |
dc.relation.citationissue.eng.fl_str_mv |
Comunicaciones en Estadística; Vol. 9, Núm. 2 (2016); 165-197 (157-186 English) |
dc.rights.spa.fl_str_mv |
Copyright (c) 2016 Comunicaciones en Estadística |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Copyright (c) 2016 Comunicaciones en Estadística http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.spa.fl_str_mv |
application/pdf application/pdf text/plain |
dc.publisher.spa.fl_str_mv |
Universidad Santo Tomás |
institution |
Universidad Santo Tomás |
repository.name.fl_str_mv |
Repositorio Universidad Santo Tomás |
repository.mail.fl_str_mv |
noreply@usta.edu.co |
_version_ |
1782026366256939008 |