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Conference object . 2025
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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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Drivers Of E-Tax Services Adoption and Impact on MSME Tax Compliance: A Conceptual Framework

Authors: Zulkepli, Salehah Zafirah;

Drivers Of E-Tax Services Adoption and Impact on MSME Tax Compliance: A Conceptual Framework

Abstract

Micro, small, and medium enterprises (MSMEs) are vital to economic development, yet they often struggle with tax compliance due to procedural burdens and digital capacity gaps. The adoption of e-tax services is seen as a key solution to enhance compliance, but uptake among MSMEs remains uneven. This conceptual paper examines the factors influencing e-tax service adoption and their impact on tax compliance among MSMEs. Theories from the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and behavioral economics (TPB), the paper develops a conceptual framework linking perceived usefulness, ease of use, facilitating conditions, social influence, attitude and perceived risk to adoption outcomes. The framework offers a foundation for empirical validation and guidance for tax authorities in tailoring digital service strategies for MSMEs.

Keywords

e-tax services, digital adoption, MSMEs, tax compliance, conceptual framework

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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