Across Dutch municipalities, unusual collaborative initiatives emerge that aim to stimulate the creation of value from municipal waste resources. Circular economy literature proposes that experimentation competences are important for developing initiatives towards circular business models and a wide …

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 …

This research investigates the impact of early facility management involvement on the effective utilization of building information modelling during the operation and maintenance phase. It looks at understanding the factors that encourage building owners to prioritize early facility manager engagement. …

Organizations feel an urgency to develop and implement applications based on foundation models: AI-models that have been trained on large-scale general data and can be finetuned to domain-specific tasks. In this process organizations face many questions, regarding model training and deployment, but also …

The growing prevalence of AI systems in society, has also prompted a growth of AI systems in the public sector. There are however ethical concerns over the impact of AI on society and how this technology can impact public values. Previous works do not connect public values and the development of AI. …

Halfway through the UN 2030 Agenda of Sustainable Development Goals (2015–2030), the achievement of most of the proposed targets have been lagging behind, as has been confirmed in recent UN and UNESCO reports. While these reports mostly provide external features which cause the delay, this paper analyses …

This paper presents a user-friendly version of Persistent Homology (PH) graph code to model financial market structures and changes. By leveraging Topological Data Analysis (TDA), the code offers an effective approach for analyzing high-dimensional stock data, enabling the identification of persistent …

This dissertation explores the transition of businesses towards regenerative practices that contribute simultaneously to social, ecological, and economic value. It addresses the challenge of moving from degenerative business models to those that actively rejuvenate and enhance systems. Through a hybrid …

Although the attention for neurodiversity in human resource management (HRM) is growing, neurodivergent individuals are still primarily supported from a deficit-oriented paradigm, which points towards individuals' deviation from neurotypical norms. Following the HRM process model, our study explored …

This study adopts an exploratory and inductive approach, employing grounded theory and multiple-case study methodology to examine how FinTech companies contribute to achieving Sustainable Development Goals (SDGs). Two main categories of findings emerge, with theoretical and practical implications. First, …