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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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The Influence of E-Trust and E-Service Quality through E-Satisfaction on Loyalty of Access by KAI Users in Java

Authors: Muhammad Harris Putranto Halim1*, Diah Yulisetiarini2, Bambang Irawan3;

The Influence of E-Trust and E-Service Quality through E-Satisfaction on Loyalty of Access by KAI Users in Java

Abstract

The aim of this research is to determine the Influence of e-trust and e-service quality through e-satisfaction on loyalty of access by KAI users in Java. Population in this study is all over user Access by KAI in Java. This study uses the snowball sampling technique, which is a non-probability sampling method with 130 respondents. The data analysis technique in this study uses Partial Least Square (PLS). PLS is a Structural equation model Equation Modeling (SEM) which uses a variance-based or component-based approach to structural equation modeling. Conclusion from results analysis and discussion about Influence E-trust and E-service quality Through E-satisfaction To Loyalty on Access by User KAI in Java as follows: E- trust and e-service quality partially influence significantly to E- satisfaction on Access by User KAI in Java, E- trust and e-service quality in general partially influence significantly to loyalty to Access Users by KAI in Java, E-satisfaction influence significantly to Loyalty to Access by KAI Users in Java and E-satisfaction mediating E-trust and E-service quality on Loyalty to Access by KAI Users in Java.

Keywords

E-Satisfaction, E-Service Quality, E-Trust, Loyalty

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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