The sustainability transitions in our society requires deliberate collective action from multiple organisations. This implies a need to develop and implement new business models and re-design value networks. Collaborative sustainable business modelling (CSBM) is often proposed to fill this gap. CSBM …

In recent years, drones have increasingly supported First Responders (FRs) in monitoring incidents and providing additional information. However, analysing drone footage is time-intensive and cognitively demanding. In this research, we investigate the use of AI models for the detection of humans in drone …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

The developments in city logistics are leading to an increasing number of smaller, time-sensitive deliveries. The parcel market has consistently grown over the past decade, with emerging business models such as ship-from-store (both B2C and B2B) and quick commerce. Moreover, companies are increasingly …

Amidst escalating environmental and social challenges, this study explores regenerative business models’ definition and characteristics. While sustainable models have made considerable strides in research, policy, and practice, the advent of regenerative business models offers a progressive leap forward. …

This paper presents user-friendly code for the implementation of a loss function for neural network time series models that exploits the topological structures of financial data. By leveraging the recently-discovered presence of topological features present in financial time series data, the code offers …

This paper investigates the application of neural basis expansion analysis with exogenous variables (NBEATSx) in the prediction of daily stock realized volatility for various time steps. It compares NBEATSx’s forecasting accuracy and robustness with several commonly used models, namely Long-Short Term …

The implementation of autonomous vehicles in logistics can offer a significant solution to the growing driver shortage. However, an important barrier to implementation is the financial investment needed to adopt autonomous vehicles. In this article we present a methodology to calculate the business case …

Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant …