State-led redress programmes are commonly established by governments to respond to large-scale institutional failures and repair damaged relationships with citizens. However, such programmes frequently struggle to meet the needs and expectations of those they aim to compensate. While these shortcomings are often framed as implementation failures, this thesis argues that difficulties may originate earlier in the policy process, namely in how the concept of “redress” is initially understood and translated into policy design.

This research therefore examines how different actors conceptualise state-led redress during the early phase of a redress process and how these conceptions shape subsequent design choices. The redress operation following the Dutch childcare benefits scandal serves as an in-depth case study. The study adopts a qualitative and interpretative research approach grounded in systems thinking, combining desk research with semi-structured interviews with actors operating at different institutional levels. Two analytical lenses structure the analysis: perceived procedural justice, focusing on citizens’ experiences of fairness, and networked governance, highlighting the institutional complexity of multi-actor governance contexts.

The findings show that redress is not conceptualised as a single, stable policy problem. Instead, actors emphasise different objects of restoration, leading to three main conceptions of redress: financial repair, emotional recognition, and institutional legitimacy. These conceptions are closely related to actors’ institutional positions and influence design choices such as standardisation, flexibility, and accountability mechanisms. Because these perspectives coexist, tensions between financial compensation, relational recognition, and institutional legitimacy become embedded in the design of redress processes.

The thesis develops a reflective framework to support dialogue about these tensions during the design of future redress programmes. By making underlying assumptions and trade-offs explicit, the framework aims to support the development of redress processes that are both experienced as fair by affected citizens and workable within complex governance systems.

This thesis investigates the integration of Artificial Intelligence (AI) into Human Re-source Management (HRM) practices and its resulting impact on innovation at both the individual and organizational levels. As AI continues to transform business func-tions HRM is increasingly adopting AI-driven tools across recruitment, training, per-formance management and talent development. HRM which was once seen as a primarily administrative role is now undergoing a significant transformation to strate-gic partner in fostering innovation.
Academic research has explored AI applications in various business domains includ-ing HRM. Studies have examined AI’s role in automating tasks, personalizing learning and enhancing analytics. Others have looked at AI’s influence on employee engage-ment, decision support and productivity. But the intersection between AI-integrated HRM and innovation outcomes remains underexplored in current literature. This re-search seeks to fill this gap by employing a systematic literature review of 42 peer-reviewed articles and the findings through interviews with HR professionals in high-tech industries...

This thesis examines the integration of Cultural Intelligence (CQ) in entrepreneurial education, specifically in the Minor in International Entrepreneurship and Development program at TU Delft. It identifies a significant gap in the current curriculum regarding CQ training, crucial for navigating the culturally diverse landscape of global business. Through an analysis of existing frameworks, interviews with students and professionals, and curriculum evaluation, the thesis highlights the shortcomings in preparing students for international entrepreneurship. It proposes curriculum enhancements focusing on experiential learning and reflection to foster cultural understanding and adaptability. These recommendations aim to equip students with the necessary skills to succeed in a multicultural entrepreneurial environment, making the program more comprehensive and globally relevant.

Disruption by cloud computing innovation is increasingly prevalent, though its effects on platform markets is not well understood. This thesis documents a study of these effects through the cases of cloud gaming platforms in the gaming platform market and an expert survey to unveil how they are different from those previously discovered in other contexts. In doing so, the study contributes evidence on the nature of cloud computing disruption in platform markets in general.

This study reviews Reverse Innovation (RI) literature by analysing the conceptual, intellectual and social structure of the field. Furthermore, it proposes a comprehensive view of the structural associations amongst RI influencing factors, drivers, antecedents and practices. Bibliometrix R-package and VOSViewer software were used to conduct a bibliometric meta-analysis on 208 articles, obtained from ISI Web of Science and Scopus databases. Influential journals, institutions, scholars and trending articles in RI research were revealed. Concept co-occurrence identified three main sub-fields (a) Conceptual development of RI, (b) Sustainable Dimension of RI, (c) RI for healthcare. Through content analysis of these sub-fields, conceptual conflicts were identified and solved. Based on this content analysis a conceptual framework was proposed which has structured influencing factors and relations to the RI process.