The European Union’s transition towards a circular and sustainable economy has driven the introduction of the Digital Product Passport (DPP) as a regulatory tool to improve product transparency, lifecycle accountability, and environmental stewardship. For electric vehicle (EV) batteries, mandated under Regulation (EU) 2023/1542, the DPP consolidates critical lifecycle data—including state of charge, temperature, charge cycles, and safety incidents—into a standardized, accessible format. This enables compliance monitoring, facilitates reuse and recycling, and significantly contributes to EU sustainability goals. However, translating these regulatory requirements into functional, IoT-enabled systems is challenging due to the dynamic nature of battery data and the complexity in system design and the stakeholder perspective in the battery value chain.

This study delivers a decision-support framework to address these challenges. The framework’s two core tools—an evaluation matrix for systematic comparison of IoT architecture capabilities against DPP requirements, and a trade-off table revealing key design interdependencies—equip stakeholders with practical instruments for early-stage system planning. Validation through eleven expert interviews from academia and industry confirmed the framework’s regulatory alignment, technical soundness, and adaptability across organizational contexts. Experts highlighted the value of the trade-off table in surfacing tensions such as edge–cloud processing balance, latency constraints, and cost–complexity trade-offs, and stressed the importance of lifecycle data updates, sensing accuracy, and stakeholder-specific access control. Their feedback directly informed refinements, resulting in a more intuitive, context-aware, and versatile toolset. The refined framework can be used by OEMs, solution providers, and policymakers to design, assess, and optimize IoT-enabled DPP systems that balance compliance, performance, and operational feasibility.

The textile and clothing industry is one of the most polluting industries worldwide and requires the use of many resources.Textile-to-textile recycling can be crucial for closing the material loop and transition towards a circular textile and clothing industry. Currently, only 1% of textile waste is recycled into new high-quality textile items. The Netherlands has ambitious circularity goals and textile-to-textile recycling should be scaled up to reach a 100% circular industry in 2050. This research explores the textile-to-textile recycling niche in the Netherlands from a transition perspective.

Humanity faces the challenge of dealing with resource exhaustion and environmental destruction. The root of these issues lies in the linear economic model established after the industrial revolution. This model relies on two fundamental principles, limitlessness and easily accessible resources and unlimited earth regenerative capacity. The economy thrives by consuming planetary resources to manufacture products and generating wastes by disposing of products in the landfills or incinerating them when they are no longer desirable. However, the growing planet’s population and the limited regenerative earth capacity make this model unsustainable. The circular economy (CE) represents an alternative to the current consumption pattern. It is an economic model aspiring to limit the use of virgin resources in the production systems and eliminate the waste streams by promoting a closed resource loop. The transition to CE is at the top of the agendas of both policymakers and companies (defined as CE auditing actors), which have initiated policy instruments to catalyze it. Such policy instruments could vary from regulations to additional taxes for eco-unfriendly goods. These policy instruments are prone to manipulations when there is a lot at stake. An indicative example is the case, in which plastic waste exported from the Netherlands to Turkey for recycling or reuse was illegally dumped. To prevent such adversities, the CE auditing actors need a monitoring system to control the implementation of their policy instruments and enforce compliance when necessary. Such a system should provide visibility in the flows of raw materials and products in the supply chain and detect frauds. The need for a monitoring system can be addressed by leveraging the research on the data pipeline concept. A data pipeline is an IT infrastructure capturing data at the source. It equips authorities with data shared by the businesses voluntarily and in real-time. This data pertains to the flows of goods from a seller in an exporting country to a buyer in an importing country. Traditionally, data pipelines have been used by customs to access information stored in the traders’ information systems willing to be transparent. The supply chain visibility currently captured by data pipelines is not sufficient to serve CE. They need to be extended to monitor the entire journey of materials and products in the CE context. Furthermore, to unleash the full potential of the shared data, the data recipients need to have trust in the data and its quality. This condition can be satisfied by using blockchain-enabled data pipelines. Blockchain is a technology that exceeds the capabilities of traditional information systems thanks to four characteristics, namely, decentralization, auditability, immutability, and smart contracts. The thesis dives into the research domain of blockchain-based data pipeline solutions by investigating their ability to support the CE transition. For that reason, it develops a framework that evaluates their ability to enforce compliance with CE policy instruments by acting as monitoring systems. The evaluation framework identifies the information requirements needed to be captured by such architectures to monitor the journey of materials and products in a closed-loop supply chain.

To ensure safety and security of imported goods, customs authorities perform risk assessment on incoming goods. European customs use declaration data provided by traders to execute risk analysis. Lacking availability of this data to customs authorities currently hinders proper risk management and poses threats for the European socio-economy. To solve this issue, this research analysed how Blockchain, an emerging and promising technology, could solve the issue at hand. Using a design-oriented approach, the process to be supported was analysed, the requirements were elicited, and the core blockchain components were identified. This was instrumental to develop a blockchain-based platform to support the availability of declarations data to customs authorities. The feasibility of the designed platform was evaluated through a comparison with TradeLens, an existing supply chain platform underpinned by blockchain technology, and possible implementation issues were identified by using a blockchain governance framework. The platform design contributes to the import control system implementation and research on blockchain technology. The next step is the development of a Proof-of-concept to analyse whether the designed platform supports the process at stake.