Understanding Information System Continuance Intention In The Indonesian Public Sector

Employing the framework of the Expectation Confirmation Model within the Indonesian public sector context. This research endeavoured to explore the impact of satisfaction, self-efficacy, perceived usefulness, enjoyment, and confirmation on the continuance intention of information systems. The study engaged 436 employees from the Indonesian State Revenue Organization as participants. Utilizing a 7-point Likert scale, online surveys were administered to collect data, subsequently subjected to analysis employing Lisrel 8.8 and Structural Equation Modelling (SEM). The results suggested that self-efficacy and confirmation were strong predictors of perceived usefulness. There existed a strong and positive association between confirmation and satisfaction, perceived usefulness and satisfaction as well as enjoyment and satisfaction. Satisfaction acted as a partial mediation variable between perceived usefulness and continuance intention as well as between enjoyment and continuance intention. Hereafter, the relationship between self-efficacy and continuance intention was influenced by perceived usefulness as the indirect-only mediator. In addition, the relationship between confirmation and continuance intention was influenced by satisfaction as the indirect-only mediator. Ultimately, the continuance intention in information systems was strongly associated with satisfaction, enjoyment, and perceived usefulness

Authors

Institutions

Publication Details

Journal
JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan)
Published
2024-12-25
DOI
https://doi.org/10.29408/jpek.v8i3.26325
Citations
1
Primary Topic
Information Technology Governance and Strategy
Type
article
Field-Weighted Citation Impact
0.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Information System Continuance Intention In The Indonesian Public Sector

Adi Prasetyo
1 citations
JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan)
Information Technology Governance and Strategy
0.53
article

Understanding Information System Continuance Intention In The Indonesian Public Sector

Adi Prasetyo
article en
1 citations

Abstract

Employing the framework of the Expectation Confirmation Model within the Indonesian public sector context. This research endeavoured to explore the impact of satisfaction, self-efficacy, perceived usefulness, enjoyment, and confirmation on the continuance intention of information systems. The study engaged 436 employees from the Indonesian State Revenue Organization as participants. Utilizing a 7-point Likert scale, online surveys were administered to collect data, subsequently subjected to analysis employing Lisrel 8.8 and Structural Equation Modelling (SEM). The results suggested that self-efficacy and confirmation were strong predictors of perceived usefulness. There existed a strong and positive association between confirmation and satisfaction, perceived usefulness and satisfaction as well as enjoyment and satisfaction. Satisfaction acted as a partial mediation variable between perceived usefulness and continuance intention as well as between enjoyment and continuance intention. Hereafter, the relationship between self-efficacy and continuance intention was influenced by perceived usefulness as the indirect-only mediator. In addition, the relationship between confirmation and continuance intention was influenced by satisfaction as the indirect-only mediator. Ultimately, the continuance intention in information systems was strongly associated with satisfaction, enjoyment, and perceived usefulness

JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan)Vol. 8(3)
University of Indonesia (ID)
Openalex Percentile: Top 22%
Information Technology Governance and Strategy
0.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.