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Τίτλος: Conceptualizing and validating a customer satisfaction measurement model in e-services. Evidence from the Greek e-banking sector
Συγγραφείς: Angelis, Dimitrios 
Gavalas, Dimitris 
Kessopoulou, Eftychia 
Xanthopoulou, Styliani 
Paltayian, George 
Τμήματα Συγγραφέων: Department of Business Administration 
Department of Business Administration 
Department of Business Administration 
Σχολές Συγγραφέων: School of Business Administration 
School of Business Administration 
School of Social Sciences, Humanities and Arts 
Θέματα: FRASCATI__Social sciences__Economics and Business__Business and Management
Λέξεις-Κλειδιά: customer satisfaction
e-banking
e-service
SEM
structural equation modelling
PLS
mixed research method
partial least squares
Ημερομηνία Έκδοσης: 2023
Εκδότης: Inderscience
Περιοδικό: International Journal of Productivity and Quality Management 
ISSN: 1746-6474
Τόμος: 1
Τεύχος: 1
Επιτομή: 
This study aimed to measure customer satisfaction by employing the five key dimensions of the SERVQUAL model. The dimensions of the SERVQUAL model and a focus group method was used to conceptualise a research model proposed for customer satisfaction measurement in the Greek e-banking sector. A questionnaire was designed and administered to 1,026 e-banking users, and a total of 333 respondents replied. For assessment of the measurement model, exploratory and confirmatory factor analysis was used. Additionally, for assessment of the structural model, the partial least squares (PLS) structural equation modelling (SEM) technique was employed. The validated customer satisfaction measurement tool includes three dimensions, namely performability, responsiveness, and assurance, which have significant and positive relationships with the customer satisfaction construct. Due to the locality of the context, we suggest that further research should be conducted to generalise the findings in e-banking and e-commerce. This paper is the first attempt to provide a validated customer-satisfaction-measurement model based on the dimensions of the SERVQUAL model that directly asks customers to weight service attributes while using a tool based on statistical inference from observed associations.
URI: https://ruomoplus.lib.uom.gr/handle/8000/1733
DOI: 10.1504/IJPQM.2023.10060725
Δικαιώματα: Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Τμήματα που αντιστοιχεί το τεκμήριο: Department of Business Administration
Department of Business Administration
Department of Business Administration
Εμφανίζεται στις Συλλογές: Άρθρα

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