This book explores fundamental socio-economic trends that are radically changing perspectives on the relationship between people and the world around them. Focusing on the principles of sustainability, circularity and inclusivity, it illustrates how these trends form the breeding ground for a new economy …

The circular economy (CE) is heralded as reducing material use and emissions while providing more jobs and growth. We explored this narrative in a series of expert workshops, basing ourselves on theories, methods and findings from science fields such as global environmental input-output analysis, business …

The ongoing economic transformations in our era of heightened globalisation are intricately linked to distinct production and consumption patterns, exhibiting noteworthy variations across diverse global regions. The predominant and linear economic paradigm and its associated business models have been …

This paper presents findings on the paradigmatic nature of business model development emerging from embedded, transdisciplinary research in a primarily linear economic context in the Netherlands. Reflecting on the author’s critical ethnographic inputs from long-term operational research in a circular …

The building and construction industry, which is responsible for 39% of global carbon emissions, is far off track in achieving its net-zero emission targets. Product-service system (PSS) business models are one of the instruments used by the industry in the transition toward reaching these targets. A …

This report records the research project conducted within the context of the work placement for the Graduation Internship: Business Research and Advice during the fourth year of the International Business program at HZ University of Applied Sciences. The work placement panned from 05 February 2024 to …

The textiles and apparel industry is a major contributor to economic development while at the same time being one of the most polluting industries due to its lengthy supply chain and resource intensive production operations. To address these sustainability challenges, digitalization is seen as one of …

Purpose This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations …

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 …