In this paper, we propose a conceptual framework composed of a number of e-government,
implementation and evaluation-oriented variables, with which we jointly analyze chatbots …

In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI)
is increasingly evident across various sectors, including local governments. These …

Artificial Intelligence (AI) is viewed as having great potential for the public sector to improve
the management of internal activities and the delivery of public services. However, realizing …

We investigate how AI introduction affects public entities at the micro-level, hence the roles,
competences and tasks of the agents involved. In doing so, we rely on the organizational …

Time is now mature for researching AI implementation in the public sector, creating
knowledge from real-life settings. The current paper goes in this direction, aiming to explore …

This article examines the “digital welfare state” historically, presently, and into the future, with
a focus on what artificial intelligence means for welfare surveillance. Drawing on scholarship …

Abstract Organizations increasingly use Generative Artificial Intelligence (AI) to create
strategic documents, legislation, and recommendations to support decision-making. Many …

In this paper, we propose a conceptual framework composed of a number of e-government,
implementation and evaluation-oriented variables, with which we jointly analyze chatbots …

This study quantifies what makes Artificial Intelligence (AI) work for government, the critical
success factors (CSFs) for successful AI implementation within the Directorate General of …

Combining surveillance and emotion analysis seems to be on the doorstep and companies
are fighting for a competitive edge with Artificial Intelligence. Our study investigates the …