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The chapter explores the legal and transactional governance of venture capital (VC) from the viewpoint of the theory of the firm as a knowledge commons. At first sight, VC seems far removed from any notion of commons, if that is taken to mean a shared resource constituted by emergent rules of conduct based on interactions between multiple stakeholders. Bright line rules favouring the interests of capital holders over those of producers and communities dominate the orthodox legal account of VC, which stresses the importance of US-style transactional flexibility in managing investment risks. On closer inspection, however, VC ecosystems have many commons-like aspects, involving risk-sharing, information pooling, and the braiding of formal and informal rules. The public benefits of VC depend on the positive externalities generated by knowledge spillovers, which cannot be fully captured by private ordering. Understanding these features through Masahiko Aoki’s theory of the firm as embedded cognition, and drawing on interviews with mostly Europe-based VC funds, entrepreneurs and legal advisers, the chapter argues that the governance of VC should be concerned with maximising the net social return from innovation, taking into account the multiple interests involved in knowledge creation and preservation.
Financial companies are increasingly leveraging financial technology (fintech) to monopolize financial data, ostensibly to maximize profit for their clients and enhance their power in society. This trend both exposes the serious limitations of individual consent models of data protection and undermines the nature of financial data as a shared resource by excluding data contributors from its governance. This chapter posits that consumer associations, acting as data trusts, can play a crucial role in overseeing financial data-opolies while fostering the development of the community governance of data. Beyond addressing privacy harms, these associations can promote the attainment of important social goods, including the prevention of predatory and discriminatory lending and the expansion of access to financial capital. By leveraging and shaping both formal and informal rules-in-use that may facilitate these efforts, consumer data trusts can ultimately enhance the legitimacy of financial data commons. A discussion of BlackRock’s Aladdin platform and a European consumer association’s lawsuit against Meta illustrates the argument.
This single case study of INSTINCT3, a Germany-based video game influencer management agency, investigates how its employees (influencers) and external stakeholders (followers) operate as polycentric communities in two interconnected action arenas: an offline arena of intra-organizational interactions between employees, and an online arena in which influencer channels mediate interactions between influencers and followers. The study relies on the governing knowledge commons (GKC) framework to examine the transfer of organizational values between offline and online communities. In-depth interviews are used to identify the resources, community attributes, and rules-in-use that are essential in developing a value-driven and responsible employee communityship. Additionally, the study investigates if and how organizationally relevant rules-in-use are transferred by influencers through communicative practices in their online communities to their followers. Relying on comparative analysis, it identifies how INSTINCT3 governs the two action arenas as part of a dynamic and multilayered process.
Human genetic information is best understood as a non-rivalrous and non-excludable social resource, making it well suited to commons-based governance as a complement to state- and market-led models. Using the case of deCODE Genetics in Iceland, the chapter shows the practical viability of such an approach, underscoring the importance of public cooperation, ethical safeguards, and consent. Yet the model faces a central dilemma: the need for broad data sharing to advance research versus the individual participant’s right to privacy. The chapter reframes this tension by conceptualizing privacy not as the negation of sharing but as one of its dimensions. It then resolves the dilemma by proposing a participatory, procedurally legitimate system in which stakeholders (including data contributors, researchers, and clinicians) collectively determine rules of access, use, and privacy through democratic deliberation. This approach moves beyond top-down declarations and instead establishes a self-governing genomic commons. A mutual benefit, procedurally democratic framework offers a promising path to realize the genome’s potential for public health while safeguarding individual rights.
Managing financially material climate risk requires reliable, decision-useful data, yet climate-related information remains fragmented and complex. Investor Climate Alliances (ICAs) have emerged as institutional responses, providing the infrastructure to produce, share, and interpret climate risk data across heterogeneous communities. Using the governing knowledge commons framework, this chapter examines ICAs as collective governance systems – institutions that coordinate knowledge production through formal rules, informal norms, and shared practices. Investor Climate Alliances demonstrate that complex knowledge resources can be generated collaboratively. In doing so, they illuminate the friction between collaborative knowledge governance and corporate law’s traditional paradigms which constrain investor collaboration.
This chapter proposes to recast the supply chain as a commons via an extended description of the shared social, intellectual, and regulatory resources currently producing an experiment in a circular economy for organic waste in Sydney, Australia. Organic waste, once composted, finds its way into high-value-added crops like heirloom garlic, which are then sold back to consumers in Sydney. By foregrounding the practices of social learning and information sharing that is making this “circularity” possible, the chapter illustrates how creating a material commons often depends upon creating a knowledge commons to make it cohere, as well as upon creating commoner-subjects who will do the work of caring for both.
This chapter presents a qualitative case study of the UK Conservative Party’s failed 2010 pledge to reduce net migration below 100,000. It probes the mechanisms through which globalization constrains promise fulfillment by focusing on this paradigmatic broken promise. The analysis shows how international legal commitments (especially EU free movement rules), the economic imperative for labor mobility, and political pressures from both market actors and voters made the pledge untenable. Drawing on elite interviews and archival evidence, the chapter traces how economic integration and institutional entanglement restricted the UK government’s policy autonomy despite its electoral mandate. This typical case illustrates how globalization creates cross-cutting pressures that lead governing parties to abandon salient, repeated promises. The case demonstrates how external constraints interact with domestic political incentives to produce broken promises, while contributing to rising public dissatisfaction and support for radical alternatives like Brexit.
Design automation (DA) frameworks are often too specialized to be broadly evaluated. This paper proposes the use of deliberately simple, accessible implementations to facilitate the collection of user feedback. The evaluation of a DA framework is demonstrated through the Bike Connector Tool, which automates the design of personalized bicycle accessory connectors. A case study yields valuable insights, including the need for spatial guidance, manual intervention and expanded design options. The results indicate that simple demonstrators can effectively support the evaluation of DA approaches.
The search for effective strategies to support mental well-being has become increasingly pressing in contemporary societies, where stress, anxiety, and cognitive overload are widespread. In this paper, we present a wearable-supported VR system designed to enhance mindfulness through the integration of visual, auditory, and respiratory cues. Drawing on evidence from color therapy, binaural beats, and biofeedback, the system delivers a multisensory environment that supports emotional regulation. We describe the system’s design and discuss its potential to improve technology-mediated well-being.
AM enables the design of compliant mechanisms that encode functions directly into geometry. Existing DfAM frameworks rarely address microscale AM, such as two-photon polymerisation (2PP). We present the design process of an airtight, monolithic bellows structure in rigid 2PP resin that serves both as a sensor and an actuator. Through co-evolution of problem and solution, we identify 2PP-specific design considerations and opportunities, including fabrication uncertainties, cross-scale iteration, and design for post-processing, contributing to a case-based DfAM framework for microscale AM.
In the early design stage of AI systems, designers face the challenge of addressing interdisciplinary needs with technical feasibility. This case study presents learnings from engaging a cross-functional team in the early design of an AI Vision System to support operators in the assembly process of electrical equipment. Our approach has been to embed Human-AI guidelines into boundary objects. The findings indicate that boundary objects helped participants reach common understandings, identify needs, and develop plans to mitigate future problems during the development of the AI system.
Academic tools for sustainable product development often fail to achieve widespread use in industry. Based on a case study of a consultancy firm, this study explores factors that enable consultants to adopt and adapt such tools and act as intermediaries that translate and integrate academic findings into practice. Interviews and a survey revealed that a solid conceptual foundation, clear client value, result visualization, adaptability, and integration with existing workflows are most important, and the study proposes nine lessons learned to guide future tool development and collaboration.
Delving into a case company, this paper provides a practitioner perspective on implementing sustainable product development (SPD). Strategic implementation is achieved when i) tools are integrated at critical stages of product development, ii) awareness and responsibility are spread across the organization and iii) there is cohesiveness between tools sustainability approach and metrics used. While SPD tools are systematically used and help the company in capability building, the current process does not guarantee systematic sustainability improvements, calling for further research.
To bridge capability gaps between designers and artisans that hinder fashion and textile business collaboration and social innovation effects, this study explores how capability-based co-design fosters sustainable partnerships. Based on 20 case studies in China’s textile sector, it connects craft values, product features, and capability-based interactions. The model links this approach to make co-design practical amid skill gaps and enhance social innovation. It offers actionable strategies for balancing co-design methods in skill asymmetric partnerships in cultural and creative industries.
The early stages of NewSpace missions can be in the fuzzy front end because of unclear requirements. This paper explores clearing this design phase through low-fidelity prototyping, using a case study of 23 prototypes organized into five concepts. The goal is to enable post-launch deployment and focus of a modified commercial-off-the-shelf (COTS) telescope for an Earth observation hyperspectral imaging satellite mission. A final payload design is developed, and the lessons learned inform the design methodology for the early phases of NewSpace projects.
In order to respond to today’s needs, engineers must be able to develop sustainable and environmentally compatible products and systems. To meet this requirement, new or adapted courses and curricula are needed in the field of engineering. This paper reviews the integration of a modular and scalable course concept for sustainable product development. The multi-institutional case study of 18 implementations across four German universities implies two primary models of use: stand-alone courses for specialisation and integrated modules for dissemination.
This paper introduces negotiation games as a method for staging and structuring collaboration in sustainability-oriented engineering design. Building on the Staging Negotiation Spaces (SNS) framework, it shows how scenarios can be re-staged as rule-based artefacts that provoke dialogue and alignment across organisational roles. Drawing on a case in scenographic production, the study demonstrates how negotiation games enable stakeholders to surface divergent concerns, reframe challenges, and co-evolve problem and solution spaces through situated alignment.
Remanufacturing can be facilitated by design activities considering value creation, preservation, and recovery. Design-related decisions for remanufacturing can affect the performance of business models, but there is a lack of literature to identify these barriers or enablers. Through an analysis of selected remanufacturing cases, an initial step to bridge this gap is provided. Findings highlight the potential of design for remanufacturing for enhanced value creation processes and new service offerings, and present recurrent barriers and enablers to remanufacturing in the cases.
Product configuration systems support customized design in complex engineering. However, as products grow in complexity, the configuration model also grows, making it important to manage these models effectively. Based on industrial case studies, This study shows how companies structure their configuration models and how modularization helps improve flexibility, maintainability, and scalability. The results provide empirical insights and practical guidance for structuring robust configuration models in complex engineering contexts.
Human-Centered Design focuses on individuals who struggle to grasp the relational aspects crucial in designing for care. This proposes a relational framework that visualizes the relational expectation misalignments between stakeholders’ perceptions. We extend the Theory of Planned Behavior to model dyadic care relationships. Expert interviews and autoethnographic analysis evaluated the model. Our findings reveal two layers of misalignments: the model’s ability to describe the structure of conflict and its potential as a reflective tool for stakeholders to resolve conflicts.