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

Data Brief

Department of Management Sciences and Technology, Institute for Technology and Innovation Management, Hamburg University of Technology, Am Schwarzenberg-Campus 4 (D), 21073 Hamburg, Germany.

Published: June 2023

AI Article Synopsis

  • The article presents a complex path model aimed at understanding how corporate reputation, relational trust, customer satisfaction, and loyalty are interconnected.
  • The data was gathered in 2020 through an online survey targeting German bank customers aged 18 and above, using an official market research firm based in Cologne.
  • A total of 675 valid responses were analyzed using SmartPLS 3 software to derive insights from the survey data.

Article Abstract

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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189085PMC
http://dx.doi.org/10.1016/j.dib.2023.109187DOI Listing

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