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IEEE Access
Article . 2025 . Peer-reviewed
License: CC BY
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IEEE Access
Article . 2025
Data sources: DOAJ
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Understanding Government Enterprise Architecture: A Review and Case Study

Authors: Raden Trimanadi; Dana Indra Sensuse;

Understanding Government Enterprise Architecture: A Review and Case Study

Abstract

The implementation of enterprise architecture (EA) is no longer exclusive to large corporations; its principles have been adapted for various organizations, including small and medium-sized enterprises (SMEs) and industry-specific entities. Recognizing its potential, many governments have also adopted EA frameworks to address growing complexities in public sector operations. This adaptation, termed Government Enterprise Architecture (GEA), aims to enhance governance efficiency and digital transformation. However, GEA implementation remains a work in progress, with significant gaps in standardization and execution. For instance, Indonesia introduced GEA in 2018, but many implementers struggled with misinterpretations of the framework’s objectives and processes. To address these challenges, this study conducts a comprehensive global comparison of GEA methodologies. Using a Systematic Literature Review (SLR), the research examines key aspects of GEA, including its core principles, architectural domains, critical success factors, performance metrics, and potential benefits. By analyzing these dimensions, the study provides actionable insights for GEA developers—particularly in Indonesia, where the initiative is still nascent. A deeper understanding of global best practices can help refine Indonesia’s approach, ensuring effective implementation and maximizing GEA’s value in improving public sector governance.

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Keywords

architectural factors, Architectural actors, electronic government, digital government, architectural benefits, enterprise architecture, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

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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
gold