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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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MEDIATING EFFECT OF USERS' AGE ON INFORMATION QUALITY, SYSTEM QUALITY AND SERVICE QUALITY IN INFLUENCING USERS' INTENTION TO USE DBKL'S E-GOVERNMENT SERVICES

Authors: Sofian Abdul Azis1*, Normy Rafida Abdul Rahman2;

MEDIATING EFFECT OF USERS' AGE ON INFORMATION QUALITY, SYSTEM QUALITY AND SERVICE QUALITY IN INFLUENCING USERS' INTENTION TO USE DBKL'S E-GOVERNMENT SERVICES

Abstract

This study investigates the impact of system quality, information quality, and service quality on users’ intention to use Dewan Bandaraya Kuala Lumpur’s (DBKL) e-government services, with a focus on the mediating role of user age. Employing a quantitative approach grounded in the DeLone and McLean Information Systems Success Model and the Technology Acceptance Model (TAM), data from DBKL users and Kuala Lumpur residents were analyzed using Structural Equation Modeling (SEM) and ANOVA. Results show that the three quality dimensions significantly influence intention to use, and age notably mediates these effects, with older users demonstrating lower engagement due to limited digital literacy and increased security concerns. This research extends technology acceptance theory by incorporating age as a critical mediator and offers practical guidance for developing age-sensitive e-government strategies—such as simplifying interfaces, enhancing digital literacy, and addressing privacy issues—to bridge the digital divide and foster inclusive digital governance.

Keywords

E-government services, Information quality, System quality, Service quality, user's intention, Users' age

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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
Green