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

Citation Link: https://doi.org/10.15480/882.5167
Publikationstyp
Data Paper
Date Issued
2023-04-27
Sprache
English
Author(s)
Damberg, Svenja 
Technologie- und Innovationsmanagement W-7  
Institut
Personalwirtschaft und Arbeitsorganisation W-9  
TORE-DOI
10.15480/882.5167
TORE-URI
http://hdl.handle.net/11420/15349
Journal
Data in Brief  
Volume
48
Article Number
109187
Citation
Data in Brief 48: 109187 (2023-04-27)
Publisher DOI
10.1016/j.dib.2023.109187
Scopus ID
2-s2.0-85154572632
Publisher
Elsevier
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.
Subjects
Bank reputation
Customer loyalty
Customer satisfaction
PLS-SEM
Trust in banks
DDC Class
330: Wirtschaft
Funding Organisations
Förderverein Industrielles Management (FIM) e.V.
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-nc-nd/4.0/
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