This paper investigates smart charging strategies for battery-electric construction machinery (non-road mobile machinery, NRMM) through a case study of a large-scale housing project in The Hague, Netherlands. The study develops a methodology to estimate energy demands and simulate charging profiles during …

This study explores how households interact with smart systems for energy usage, providing insights into the field's trends, themes and evolution through a bibliometric analysis of 547 relevant literature from 2015 to 2025. Our findings discover: (1) Research activity has grown over the past decade, …

As artificial intelligence (AI) reshapes hiring, organizations increasingly rely on AI-enhanced selection methods such as chatbot-led interviews and algorithmic resume screening. While AI offers efficiency and scalability, concerns persist regarding fairness, transparency, and trust. This qualitative …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

We examine how a multi-stakeholder collaboration (MSC) in the emergent issue field of circular textiles in The Netherlands gains legitimacy as field coordinator. Drawing on our preliminary findings from rich, qualitative data, we present a process model that highlights three objects of legitimacy – the …