Advanced PLS-SEM models for bank customer relationship management using survey data

This data article focuses on a complex path model to explain and predict the relationships between dimensions of corporate reputation, relational trust as well as customer satisfaction and loyalty. The sample was collected in Germany in 2020 with German bank customers above the age of 18 via an offi...

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Detalles Bibliográficos
Autor principal: Damberg, Svenja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189085/
https://www.ncbi.nlm.nih.gov/pubmed/37206901
http://dx.doi.org/10.1016/j.dib.2023.109187
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author Damberg, Svenja
author_facet Damberg, Svenja
author_sort Damberg, Svenja
collection PubMed
description This data article focuses on a complex path model to explain and predict the relationships between dimensions of corporate reputation, relational trust as well as customer satisfaction and loyalty. The sample was collected in Germany in 2020 with German bank customers above the age of 18 via an official market research institute located in Cologne, Germany (Respondi). The German bank customer data were collected using an online survey that was programmed using the software SurveyMonkey. The subsample described in this data article comprises 675 valid responses and the data analysis was performed applying the SmartPLS 3 software.
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spelling pubmed-101890852023-05-18 Advanced PLS-SEM models for bank customer relationship management using survey data Damberg, Svenja Data Brief Data Article This data article focuses on a complex path model to explain and predict the relationships between dimensions of corporate reputation, relational trust as well as customer satisfaction and loyalty. The sample was collected in Germany in 2020 with German bank customers above the age of 18 via an official market research institute located in Cologne, Germany (Respondi). The German bank customer data were collected using an online survey that was programmed using the software SurveyMonkey. The subsample described in this data article comprises 675 valid responses and the data analysis was performed applying the SmartPLS 3 software. Elsevier 2023-04-27 /pmc/articles/PMC10189085/ /pubmed/37206901 http://dx.doi.org/10.1016/j.dib.2023.109187 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Damberg, Svenja
Advanced PLS-SEM models for bank customer relationship management using survey data
title Advanced PLS-SEM models for bank customer relationship management using survey data
title_full Advanced PLS-SEM models for bank customer relationship management using survey data
title_fullStr Advanced PLS-SEM models for bank customer relationship management using survey data
title_full_unstemmed Advanced PLS-SEM models for bank customer relationship management using survey data
title_short Advanced PLS-SEM models for bank customer relationship management using survey data
title_sort advanced pls-sem models for bank customer relationship management using survey data
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189085/
https://www.ncbi.nlm.nih.gov/pubmed/37206901
http://dx.doi.org/10.1016/j.dib.2023.109187
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