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May 7, 2026International Journal of Advanced Computer Science and ApplicationsOpen Access

Factors Influencing Generative AI-Enabled e-Government Services (GAIGS) Information Quality: A Systematic Literature Review

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Authors

AAAzwan Abd AzizRNRozi Nor Haizan NorYJYusmadi Yah Jusoh

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Overview

Systematic literature review identifies key factors of information quality in e-Government services, suggesting improvements for public services.

Key Points

  • This review aims to identify and categorize the factors influencing information quality in Generative AI-enabled e-Government services.
  • Conducted a systematic literature review following PRISMA guidelines.
  • Screened 664 articles from databases like Web of Science and Scopus.
  • Selected 33 high-quality studies for thematic analysis.
  • Identified 22 distinct information quality factors.
  • Synthesized factors into five themes: trustworthiness, security, content quality, user perception, and adaptability.
  • Provided a model for measuring information quality in AI-mediated public services.

Cite This Study

Aziz et al. (2026) studied this question.

synapsesocial.com/papers/69fbe382164b5133a91a2d42https://doi.org/10.14569/ijacsa.2026.0170407
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