Prior research on network attacks is predominantly technical, yet little is known about behavioral patterns of attackers inside computer systems. This study adopts a criminological perspective to examine these patterns, with a particular focus on data thieves targeting organizational networks. By conducting …

Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research …

Background: As our global population ages, malnutrition and sarcopenia are increasingly prevalent. Given the multifactorial nature of these conditions, effective management of (risk of) malnutrition and sarcopenia necessitates interprofessional collaboration (IPC). This study aimed to understand primary …

Positive Energy Districts (PEDs) are a promising approach to urban energy transformation, aiming to optimize local energy systems and deliver environmental, social and economic benefits. However, their effectiveness and justification for investment rely on understanding the additional value they provide …

Background It can be very challenging for practitioners to talk with autistic children, especially when the conversation calls for self-regulation. Self-regulation is inextricably linked to awareness of oneself and others in social contexts. Encouraging the need for autonomy could help increase self-awareness …

Online reputation systems (ORS) are platforms that collect and share feedback about products, services, or companies, primarily focusing on consumer reviews. However, employee rating platforms, a subset of ORS, allow workers to review their employers, providing valuable insights for job seekers and current …

Essay over een visie op leerecosystemen vanuit de complexe dynamische systeemtheorie.

This study examines the integration of Connected Autonomous Transportation (CAT) systems at container terminals, focusing on identifying and prioritizing key performance indicators (KPIs) important to trucking companies. Using a mixed-methods approach, including a literature review, stakeholder interviews, …