This systematic literature review (SLR) explores the impact of digital technologies on welfare
states and bureaucracies, analyzing the evolving dynamics between the state and citizens …

This paper examines how predictive algorithms construct risk by calculating and anticipating
children's uncertain futures. Theoretically, we analyze algorithmic risk construction by …

In this paper we argue that qualitative longitudinal research (QLLR) is a crucial research
method for studying automated decision-making (ADM) systems as complex, dynamic digital …

Purpose This sco** study aims to provide an overview of the functions, utilities and
limitations of applying “decision support algorithms”(DSAs) in different social work contexts …

Background: Capabilities of Artificial Intelligence (AI) are rapidly advancing, as are its
potential applications. Examples of the adoption of AI in social work already exist, but an …

This article investigates the elective affinity between decision-making models in the fields of
organizational theory and artificial intelligence (AI), exploring the decision-making influence …

Big Data can provide useful insights for advancing social work research and practice,
although the collection of large amounts of personal data, linkage of disparate data sources …

Artificial intelligence (AI) is the simulation of human intelligence processes by machines or
computer systems. Multi-dimensional AI encompasses large language generated pretrained …

In every industrial enterprise, choices are crucial since they may decide success or failure.
Consequently, the decision-making process is crucial to lean production. However, further …

Executive Summary The Great Barrier Reef (GBR) remains a spectacular natural wonder
despite ongoing threats from climate change, poor water quality, and other stressors. The …