This study systematically evaluates greenhouse gas (GHG) emissions reporting practices of European airline groups, covering both mandatory and voluntary key performance indicators (KPIs) under evolving regulatory frameworks. By analysing annual and sustainability reports from 16 major airline groups, …

Context: Rapid developments and adoption of machine learning-based software solutions have enabled novel ways to tackle our societal problems. The ongoing digital transformation has led to the incorporation of these software solutions in just about every application domain. Software architecture for …

This report presents a validated workflow that shows how digital platforms such as FMaaS can facilitate the development of new multimodal freight corridors. We interviewed six logistics managers and found three critical requirements that shippers won't compromise on. First, the platform needs to be run …

Purpose This study explores the relationship between second-hand fashion retailers’ marketing tactics and the purchasing drivers of Generation Z (GenZ) consumers, defined as individuals born between the mid-1990s and early 2010s, in the Netherlands. This study aims to identify areas of alignment and …

Introduction: Several barriers, such as lack of time, knowledge and support, hinder clinicians from providing an individually tailored physical activity (PA) prescription and referral to their patients. As a result, “exercise is medicine” (E = M) is not systematically implemented in clinical care today. …

A comparative exploration of leadership expectations in the Netherlands and South Africa examining what leadership behaviors Generation Z perceives as most supportive for driving sustainability transitions and institutional resilience.

For designers, materials and production processes are crucial to the creation and quality of products like tablecloth and clay jars. Nowadays, utilitarian objects are mass- produced, far away. This contributes to environmental degradation, ecological imbalance and a loss of crafts and knowledge. To understand …

AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

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