Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/320877 
Year of Publication: 
2024
Citation: 
[Journal:] Administrative Sciences [ISSN:] 2076-3387 [Volume:] 14 [Issue:] 3 [Article No.:] 54 [Year:] 2024 [Pages:] 1-30
Publisher: 
MDPI, Basel
Abstract: 
The objective of this study is to investigate and determine factors influencing user perception and acceptance of electronic government services in the context of technological advancements. The research focuses on classifying the main features of e-administrative systems with an emphasis on user satisfaction by integrating both traditional and modern data analysis techniques. Structural Equation Modelling (SEM), machine learning (ML) techniques, and multi-criteria decision-making (MCDM) methods have been applied to survey data to uncover the interdependencies between variables from the perspective of online users. The developed models discover and explain the underlying relationships in user attitudes towards e-government services. As the perception of customer satisfaction is subjective and dynamic, stakeholders should conduct regular measurements and data analysis to ensure continuous improvement of e-public services.
Subjects: 
behaviour intention
customer satisfaction
electronic government services
electronic public services
machine learning
PLS-SEM
structural equation modelling
technology adoption
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.