The rapid advancement of Generative AI (GenAI), particularly large language models (LLMs), has significantly reshaped how individuals and organizations engage in decision-making. From customer service and education to strategic planning and design, these technologies are no longer limited to providing …

This thesis investigates how dynamic capabilities and their underlying microfoundations enable manufacturers to implement digital servitization as a means for circular business model innovation. Digital servitization and circular business model innovation are both gaining traction in the manufacturing …

Pilot onderzoek naar historische hoogtemodellen

Het artikel onderzoekt de effectiviteit van geautomatiseerde clustering in gepersonaliseerde toepassingen op basis van gegevenskenmerken. Het evalueert drie clusteringalgoritmen met verschillende aantallen clusters en subsets van kenmerken. De studie vergelijkt de nauwkeurigheid van modellen in verschillende …

Although near-peer role modeling (NPRM) has been suggested as an effective pedagogical intervention for boosting confidence, motivation, and self-efficacy, few studies have examined its connection with learner needs and well-being utilizing an established psychological framework. The present study investigates …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

While the Municipality of Amsterdam wants to expand the electric vehicle public charging infrastructure to reach carbon-neutral objectives, the Distribution System Operator cannot allow new charging stations where low-voltage transformers are reaching their maximum capacity. To solve this situation, …

Decarbonisation of urban logistics is a pressing issue. About one third of the freight-related CO2 emissions in the Netherlands relates to urban logistics, consisting of both vans and trucks. Although electrification is a feasible solution, delivery models that not only focus on reducing the carbon footprint, …

This guide was developed for designers and developers of AI systems, with the goal of ensuring that these systems are sufficiently explainable. Sufficient here means that it meets the legal re quirements from AI Act and GDPR and that users can use the system properly. Explainability of decisions is …

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 …