Exploring Artificial Intelligence Adoption for E-Government: A Systematic Literature Review | Zendy

Fadwa T. Alorini | Zendy; Ali A. Alkhalifah | Zendy

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Exploring Artificial Intelligence Adoption for E-Government: A Systematic Literature Review

Author(s) -

Fadwa T. Alorini,

Ali A. Alkhalifah

Publication year - 2025

Publication title -

ieee access

Language(s) - English

Resource type - Magazines

SCImago Journal Rank - 0.587

H-Index - 127

eISSN - 2169-3536

DOI - 10.1109/access.2025.3618778

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper responds to prior calls for a more comprehensive understanding of artificial intelligence (AI) adoption within government. This study’s systematic literature review selected and analyzed 99 papers, synthesizing existing research to identify a wide range of factors influencing AI adoption in e-government. The factors were categorized into three thematic dimensions: technological, organizational, and environmental. This study offers an in-depth analysis of these factors, shedding light on the concentration of prior studies within specific geographical regions and the dominance of particular theoretical models. The findings underscore the necessity for broader, more inclusive research that spans diverse contexts and perspectives. This review makes a significant contribution to the literature, providing an integrative perspective that deepens the understanding of AI adoption in government. It also identifies gaps in the current literature and establishes a foundation for scholars’ future research directions.

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