Urban construction logistics has a big impact on cities. The topic of this paper is governance strategies for realising more sustainable urban construction logistics. Although not much research has been done in the field of governance of construction logistics, several authors have stressed the fragmented nature of the construction industry and the importance of collaboration in urban construction logistics as issues. A literature review was done to identify the barriers in collaboration. Based on these barriers the research objective was to determine which drivers for collaborative governance are needed to improve urban construction logistics. The methods for data collection were semi-structured interviews and a focus group. The collaborative governance model is applied as a strategy to overcome the barriers in collaboration and governance identified. Key findings are both formal and informal barriers hinder the governance of construction logistics. Based on a collaborative governance model we identified four for improving collaborative governance.
With information technologies becoming available on a growing scale, capturing large amounts of building information is becoming cheaper and economically viable. This is creating new challenges for real estate management organisations. Producing digital assets is one thing, managing them and knowing how to use them is another. The information management tasks and responsibilities of real estate management organisations therefore are becoming challenging and complex at the same time. Not in the least by the fact that in many situations, maintenance activities are outsourced to contractors and sub-contractors, creating maintenance networks. While building register information may be produced in the first place to fulfil the building owner’s needs, this research assumes building registers could also contribute to innovation in the greater maintenance network if the right form of data governance can be implemented. This paper, which is part of a larger research project, presents a research approach for investigating such governance designs for building registers. The approach is based on a qualitative research approach because it aims to address the stakeholders interests adequately and produce findings that are meaningful to all stakeholders for improving data governance in professional practice. Within a multiple case study methodology, an embedded case study design is presented that may provide a useful guide for researchers in this field. The proposed methodology will be used to conduct four in depth case studies. The intended outcome of this research is a theoretical framework that integrates data governance design factors with network innovation effects. It can be used to guide the design of (inter)organisational data governance programmes in maintenance networks.
When corporate social responsibility (CSR) as a sensemaking process is assessed from a corporate governance perspective, this implies that stakeholders do not only influence companies by promoting and enforcing regulations and other corporate guidelines. They also influence companies by promoting regulation on influence pathways, by demanding that companies develop formal mechanisms that allow companies and stakeholders to discuss and in some cases agree on changes to principles and policies. This perspective suggests that regulation is an outcome of power relations and is, as such, a reflection of certain mental models. As such, mental models reveal the political bias in corporate governance perspectives. For this reason, CSR research needs to be clear about the underlying assumptions about corporate governance, and corporate governance research needs to disclose which mental models of CSR influence the outcomes. Taking a governance perspective on the development of mental models of CSR helps to understand the interaction between CSR and processes of sensemaking at the institutional, organizational and individual levels.
The denim industry faces many complex sustainability challenges and has been especially criticized for its polluting and hazardous production practices. Reducing resource use of water, chemicals and energy and changing denim production practices calls for collaboration between various stakeholders, including competing denim brands. There is great benefit in combining denim brands’ resources and knowledge so that commonly defined standards and benchmarks are developed and realized on a scale that matters. Collaboration however, and especially between competitors, is highly complex and prone to fail. This project brings leading denim brands together to collectively take initial steps towards improving the ecological sustainability impact of denim production, particularly by establishing measurements, benchmarks and standards for resource use (e.g. chemicals, water, energy) and creating best practices for effective collaboration. The central research question of our project is: How do denim brands effectively collaborate together to create common, industry standards on resource use and benchmarks for improved ecological sustainability in denim production? To answer this question, we will use a mixed-method, action research approach. The project’s research setting is the Amsterdam Metropolitan Area (MRA), which has a strong denim cluster and is home to many international denim brands and start-ups.
The HAS professorship Future Food Systems is performing applied research with students and external partners to transform our food system towards a more sustainable state. In this research it is not only a question of what is needed to achieve this, but also how and with whom. The governance of our food system needs rethinking to get the transformative momentum going in a democratic and constructive manner. Building on the professorship’s research agenda and involvement in the transdisciplinary NWA research project, the postdoc will explore collective ownership and inclusive participation as two key governance concepts for food system transformation. This will be done in a participatory manner, by learning from and with innovative bottom-up initiatives and practitioners from the field. By doing so, the postdoc will gain valuable practical insights that can aid to new approaches and (policy) interventions which foster a sustainable and just food system in the Netherlands and beyond. A strong connection between research and education is created via the active research involvement of students from different study programs, supervised by the postdoc (Dr. B. van Helvoirt). The acquired knowledge is embedded in education by the postdoc by incorporating it into HAS study program curricula and courses. In addition, it will contribute to the further professional development of qualitative research skills among HAS students and staff. Through scientific, policy and popular publications, participation in (inter)national conferences and meetings with experts and practitioners, the exposure and network of the postdoc and HAS in the field of food systems and governance will be expanded. This will allow for the setting up of a continuous research effort on this topic within the professorship via follow-up research with knowledge institutes, civic society groups and partners from the professional field.
Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
