IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The AI-Driven State: How Government-as-a-Service Is Transforming Public Service

The AI-Driven State: How Government-as-a-Service Is Transforming Public Service
View Sample PDF
Author(s): Craig P. Orgeron (Millsaps College, USA), William Rials (Tulane University, USA)and Sofiia Druchyna (Princeton University, USA)
Copyright: 2025
Volume: 21
Issue: 1
Pages: 24
Source title: International Journal of Electronic Government Research (IJEGR)
Editor(s)-in-Chief: Nripendra P. Rana (Queen's University Belfast, United Kingdom)
DOI: 10.4018/IJEGR.381327

Purchase

View The AI-Driven State: How Government-as-a-Service Is Transforming Public Service on the publisher's website for pricing and purchasing information.

Abstract

Good governance is increasingly synonymous with the ability to deliver connected, digital services. The COVID-19 pandemic tested public sector agencies with intensified expectations and increased service demands, exposing shortcomings in online service delivery. This article examines how the pandemic accelerated digital transformation and presents an opportunity to develop robust government-as-a-service (GaaS) platforms, cloud-based infrastructures that enable governments to deliver public services more efficiently. It outlines the historical evolution of e-government, summarizes insights from structured interviews with 10 government technology leaders, and proposes a framework for emerging GaaS models. The study calls for researchers and practitioners to design and implement self-regulating digital experience platforms characterized by five essential attributes. By leveraging public-private partnerships, governments can build resilient, full-service GaaS solutions that enhance citizen engagement, agility, and innovation worldwide.

Related Content

. © 2025.
Jawaher Alomar. © 2025. 23 pages.
Tengfei Liu, Yuanyuan Guo, Shuanhu Liu, Peng Dong, Jianmin Chen. © 2025. 23 pages.
Salvador Muñoz-Hermoso, Francisco J. Domínguez-Mayo, Agustí Cerrillo-i-Martínez, David Benavides. © 2025. 25 pages.
Debarun Chakraborty. © 2025. 16 pages.
Craig P. Orgeron, William Rials, Sofiia Druchyna. © 2025. 24 pages.
. © 2025.
Body Bottom