Fast developing technology offers many opportunities for innovation and optimization in the public domain. However this sector is bound to European directives on public procurement transposed into national law and therefore bound to the mandatory procurement of, among others, their assets. This legislation provides a limiting framework in which, after awarding the contract, little room for design adjustments is perceived to be left. As a result assets, especially with long-term procurement processes, are not in accordance with current technological development. The limited amount of literature on this subject provides mitigation in very specific cases, but no overview of flexibilities in the procurement process exists, which is therefore the objective of this research. The Dutch railway sector was used as context of this research and since most process design choices are made by the procurer, the Nederlandse Spoorwegen (NS) [Dutch Railways]. First, the current process was mapped out using the functional modelling technique IDEF0 based on which a first identification of flexibilities was performed. Subsequently, a first version of a morphological chart (MC) was made. This is a product design tool, in this research used, tested and validated for institutional design, as a parallel research focus supporting the exploration of flexibilities. The MC was developed and validated on its content as well as its use as institutional design tool. Additionally, validated trends were identified in the combination of flexibility aspects, followed by the exploration of a future institutional design for the NS. During this research four additional construction rules for the MC were found, being (1) within scope of action, (2) readability, (3) abstraction level and (4) informational value, for which a variety of practical solutions are suggested. These were adhered to in the developed MC and resulted in the validation of this tool to be useful as systematic, substantiated and concrete guidance in the discussion of process design. Using these developed conditions for the MC enabled identification and representation of aspects enhancing flexibility, being split into three chapters being Product, Contract and Market Approach. Validated conceptual designs enhancing flexibility were created by combining different fragments of solutions into one conceptual design. Six of these were created, one being the “traditional” procurement, four were based on collaborative practices and the last was based on the product to be part of a network. These four conceptual designs based on collaboration focused on: a partnership for the separate development of innovation, international collaboration and supplier-procurer collaboration of a light and more extensive degree. Applying this to the case of the NS shows that separate innovation and extensive collaboration are perceived to be most suitable as starting point of their future procurement design. Altogether it can be concluded that commencing a shift from a vertical to a horizontal approach within the buyer-supplier interaction is essential, placing greater importance on formalizing the partnership rather than specifying precise outcomes. The required redesign for enhanced flexibility to intermediate design changes in public procurement processes can be obtained by using the developed MC as guidance for discussion on the process design...

Wind energy is deemed important in the Netherlands in sustainable energy transitions. While Commercial Wind Energy Project Developers (CWEPDs) bring professionalism, Local Energy Cooperatives (LECs) promote local renewable initiatives. The Dutch Klimaatakkoord aims for 50% community-owned renewable electricity, but real-world implementation of community involvement is unclear. The Institutional Analysis and Development (IAD) framework helps understand 'rules-in-use' for decision-making. This study explores how LECs and CWEPDs interact with these rules, focusing on Dutch onshore wind farm projects. Using 14 case studies, the research compares organisational forms in project outcomes, employing interviews and written sources for data collection and statistical testing and QCA for analysis. Key findings include LECs completing projects faster and with fewer objections than CWEPDs and the importance of transparent information sharing. The study suggests policy and development implications, highlighting the need for more inclusive and transparent decision-making in wind energy projects.

The thesis identifies critical implementation barriers to collective battery storage on business parks in the Netherlands. Subsequently, using a mixed methods research approach, different assessment frameworks are applied to propose three policy interventions that can overcome the identified critical implementation barriers and stimulate the adoption of collective battery storage in the Netherlands.

As a result of decreasing competition within the procurement of large construction projects in the Dutch construction sector, the need arises to understand the mechanisms behind the competition. Especially how decisions by clients on the procurement of construction projects impact the number of competitors. When this is understood, clients can contribute to solving the problems in the construction market. In an attempt to supply clients with insights to impact the number of competitors, this thesis tries to answer the main research question "To what extent do client decisions in the procurement of construction projects in the Dutch construction sector affect the number of competitors?". In an attempt to answer the question, it has been tried to create a model that predicts the number of competitors in the tender phase of construction projects. To be able to make predictions, data on factors that potentially affect the number of competitors is inserted in a regression analysis. Values are included that represent the variables project type, project value, project duration, client, contract type, market conditions, need for work, and tender method. The regression coefficients determined in this analysis can reveal how individual variables affect the predicted number of competitors. But the usability of these coefficients depends on the performance of the analysis set-up, i.e. the used regression model, chosen variables, and input data. It turned out that the achieved prediction performances were unsatisfactory. The best-performing model reached a prediction accuracy of 44.9%, just 8.7% better than a constant guess. As a result, it is concluded that the relationship between the client factors and the number of competitors could not be quantified. Additional research on the predictability within the data affirmed that it would be hard to make any predictions. The Entropy and Mutual Information within the data, identifying the predictability, showed that the independent variables in the data could only solve approximately 30% of the 'chaos' within the distribution of the number of competitors. The unsatisfactory model accuracies are an interesting result, given the fact that, for almost every factor considered influential on the number of competitors, a value has been included in the calculations. The question arises whether even a relation exists between client factors and the number of competitors. On top of that, the identified marginal relations pointed at the market conditions as most influential to the number of competitors. Further indicating that clients have a marginal effect on the competition within tenders. Therefore, it seems that clients are unable to solve the decreasing number of competitors in the construction industry. In order to show the absence of a relation between the number of contractors and client factors, further research is necessary. It is yet impossible to prove this absence because improvements can still be made to the utilized data and methodology.

Integrating artificial intelligence (AI) into Japan's life insurance sector marks a significant move towards data-centric precision, reflecting the nation's shift towards Society 5.0. In this domain, AI is revolutionizing decision-making processes and enhancing operational efficiency, with applications ranging from fraud detection in credit card systems to predictive underwriting. While AI offers notable benefits, it also introduces risks, including privacy breaches, algorithmic biases, and inadequate human supervision. To tackle these risks, the Japanese government has initiated guidelines for societal protection, but gaps remain in the insurance industry's implementation, especially in translating social norms into the industry's context to protect stakeholders' values. The industry needs a guide for safely designing, developing, and deploying AI systems, considering stakeholders' perspectives. This guide fills two knowledge gaps: a framework for translating high-level values into Japanese life insurance industry requirements and an initial process for converting these high-level values into organizational guidelines. An empirical study on predictive underwriting informed the research, identifying 13 values and four informal social institutions for the AI design process. It involved eight experts who defined 54 norms, which were later refined and categorized into process and assessment norms focusing on data and AI. The result is ten design guidelines for AI system developers, which are validated by experts, addressing the full AI lifecycle. These guidelines contribute scientifically by introducing an initial process combining design for values with system safety concepts, reporting standardization, and AI governance frameworks. Future research should replicate this process in various contexts, reevaluate the value framework with broader stakeholder inputs, investigate the dynamics between Japanese society and AI in more detail, and delve deeper into system theoretic hazards analysis. This approach promises to strengthen the value framework and process applicability in different organizational settings.

Alternative fuels can help the maritime shipping industry to lower its emissions. However, there are commercial risks that surround the adoption of these cleaner fuels. A book & claim based carbon insetting initiative could reduce these commercial risks and accelerate the decarbonization of the maritime shipping industry. Carbon insetting is the process of funding an emission reduction within the sector where the emissions that are being compensated originate from, through the purchase of certificates. Book & claim facilitates the generation and trade of certificates for certain products & their properties. Combining carbon insetting with the book & claim chain of custody concept enables the generation and trade of scope 3 CO2 certificates for shippers when vessels bunker alternative fuels. Effectively enabling shippers that want their goods to be transported sustainably to pay the price premium for using alternative fuels, thereby facilitating change and sustainability in maritime shipping, without a change in logistics. The purpose of this master’s thesis is to understand how the concept of book & claim based carbon insetting can enhance the competitive position of the port of Rotterdam for the bunkering of alternative fuels. By simultaneously understanding what potentially the most effective way is to implement this concept at the port. This is achieved through a literature review, together with a workshop conducted for Port of Rotterdam Authority (PoRA) employees. The workshop results show that the participants have different views on how a book & claim based carbon insetting initiative should be approached. The participants’ answers covered a range, lying on two different ends of the spectrum for potential starting points. A book & claim based carbon insetting initiative at the port of Rotterdam can potentially enhance the port’s competitive bunkering position for alternative fuels. Implementing this concept in the port would create a clear demand stream for alternative fuels, which will enable the scaling of the supply of alternative fuels within the port, improving their affordability. Three frameworks were identified that each have their own approach to implementing book & claim based carbon insetting in the maritime shipping industry. These frameworks were evaluated based on six criteria, which were formulated from the results of the workshop. All three frameworks were evaluated for two scenarios based on the two different starting points addressed by the workshop participants. Based on the above research results, a business strategy has been formulated for the PoRA regarding book & claim based carbon insetting. This proposed business strategy consists of general recommendations and a range of possible approaches the PoRA could take to support the concept. Book & claim based carbon insetting for the maritime shipping industry is still in its infancy. It has the potential to lower the commercial risks surrounding the adoption of alternative fuels, accelerating the development of a market for sustainable shipping. In turn, accelerating the decarbonization of the maritime shipping industry while potentially enhancing the competitive bunkering position of the port of Rotterdam for alternative fuels if such an initiative is set up in the port.

Recent technological advancements have enabled the development of increasingly impactful and complex Artificial Intelligence (AI) systems. This complexity is paired with a trade-off in terms of system opacity. The resulting lack of understanding combined with reported algorithm scandals have decreased public trust in AI systems. Meanwhile, the AI risk mitigation field is maturing. One of the proposed mechanisms to incentivize the verifiable development of trustworthy AI systems is the AI audit: the external assessment of AI systems. The AI audit is an emerging subdomain of the Information Technology (IT) audit, a standardized practice carried out by accountants. Contrary to the IT audit, there are currently no AI-specific defined rules and regulations to adhere to. At the same time, some organizations are already seeking external assurance from accountancy firms on their AI systems. AI auditors have indicated that this has lead to challenges in their current audit approach, mainly due to a lack of structure. Therefore, this thesis proposes an AI audit workflow comprised of a general AI auditing framework combined with a structured scoping approach. Interviews with AI auditors at one accountancy firm in the Netherlands revealed that the demand for AI audits is increasing and expected to keep growing. Clients mainly seek assurance for management of stakeholders and reputation. Furthermore, the challenges the auditors currently experience stem from having to aggregate auditing questions from a range of auditing frameworks, causing issues in their recombination and in determining question relevancy. Subsequently, design criteria for a general auditing framework as well as feedback on a proposed scoping approach were obtained. Fourteen AI auditing frameworks were identified through a literature search. Following their typology, these could be subdivided into three source categories: academic, industry, and auditing/regulatory. Academic frameworks typically focused on specific aspects of trustworthy AI, while industry frameworks emphasized the need for public trust to drive AI progress. Frameworks developed by auditing and regulatory organizations tended to be most extensive. Comparison to four common IT audit frameworks and standards showed that AI audit frameworks need to cover a broader range of topics than the traditional IT audit themes. This is a result of the complex socio-technological context involving multiple stakeholders in which AI systems operate. Additionally, it was shown that AI performance monitoring dashboards could cover technical parts of the audit, but that they fall short when it comes to context-dependent topics such as human oversight or societal well-being. Following analysis of the similarities between the corporate Environmental, Social and Governance (ESG) reporting materiality assessment and the AI audit scoping problem, an ESG materiality assessment approach was translated to a scoping approach for the AI audit. In this translation, feedback from the AI auditors was incorporated. Combined with a general auditing framework, which was built through combination of the fourteen identified frameworks along the obtained design criteria, this formed the basis for the proposed AI audit workflow. The proposed workflow was demonstrated to be executable through a mock case study. Investigation from the data subject perspective for the Public Eye crowd monitoring AI system of the Municipality of Amsterdam resulted in a scoped list of auditing questions relating to privacy, transparency and fairness. Recommendations for future AI audit workflow designs include exploring the option of incorporating subthemes in the general framework, closer co-development with AI auditors, obtaining insights from auditors at multiple accountancy firms, and automating parts of the audit.

This paper explores the potential of smart contracts in the reinsurance industry to address escalating non-productive costs driven by market dynamics. Reinsurers, aiming to enhance stability amid increasing inflation, claim severity, and frequency, have adopted stricter underwriting criteria and raised premiums. This has led to a more detailed drafting of reinsurance contracts, reminiscent of the formalization trend that began in the 1970s. However, this formalization has inadvertently inflated administrative and dispute resolution costs, counter to the industry's core objective of efficient risk and capital allocation. The study delves into how smart contracts can offer a solution. Smart contracts are computerized protocols that can automate contract clauses, potentially aligning better with industry goals. The examination focuses on their impact on transaction costs, involving expenses incurred by insurers and reinsurers to execute transactions. Findings reveal that smart contracts can effectively reduce administrative costs by automating tasks, particularly in high-volume and standardized scenarios. However, their effect on dispute resolution costs is more nuanced, as the reinsurance sector still benefits from human interpretation. In conclusion, while smart contracts hold promise for reducing transaction costs in reinsurance, the industry's unique complexities and high financial stakes may pose challenges and necessitate post-implementation adjustments. The paper recommends exploring smart contract applications in industries with smaller disputed amounts and lower trust levels than reinsurance.