|Publisher DOI:||10.1016/j.dib.2023.109187||Title:||Advanced PLS-SEM models for bank customer relationship management using survey data||Language:||English||Authors:||Damberg, Svenja||Keywords:||Bank reputation; Customer loyalty; Customer satisfaction; PLS-SEM; Trust in banks||Issue Date:||Jun-2023||Source:||Data in Brief 48: 109187 (2023-06)||Abstract (english):||
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.
|URI:||http://hdl.handle.net/11420/15349||ISSN:||2352-3409||Journal:||Data in Brief||Institute:||Personalwirtschaft und Arbeitsorganisation W-9||Document Type:||Article|
|Appears in Collections:||Publications without fulltext|
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