The theoretical framework of this dissertation is based on Amartya Sen’s capability approach (Chapter 2). In the early 1980s, development economist Amartya Sen developed the capability framework as a broad normative framework for the evaluation and assessment of individual well-being and social arrangements mainly in countries in the Global South (Sen, 1999, 2009). I chose the capability approach was chosen because of its strong focus on the notion of freedom as the capability to live the life each individual is aiming for. The freedom to choose a particular lifestyle is an intrinsic part of Sen’s notions of agency and well-being (Sen, 1999). After elaborating on notions of agency and well-being in detail, I turn to the role of financial self-help groups and how their members are influenced by social structures. This chapter concludes by operationalizing the theoretical framework into three capabilities (C1–C3) that serve as sensitizing concepts throughout the dissertation. These capabilities focus on the potential impact CAF groups have on members’ abilities to develop social networks (C1), to control their financial household management (C2), and to adopt an enterprising attitude (C3). Chapter 3 discusses my research methodology. I describe how the three capabilities (C1–C3) were applied as sensitizing concepts in the set-up of this particular action research (Blumer, 1954). I also explain in more detail how, by using sensitizing concepts, I combined an inductive research approach with a deductive angle. Then, I elaborate on the fundamental elements of this action research project: the implementation of the CAF groups as well as the collection and analysis of the empirical data. Finally, I reflect on how I designed and carried out this action research, with a special focus on the interaction between researcher and CAF members as research participants. A more detailed background description of the Dutch financial landscape is provided in Chapter 4. The chapter focuses on two particular financial self-help groups: ROSCAs among Ethiopians and Ghanaians living in the Netherlands. Compared to the formal banking system dominating the current financial landscape, these financial self-help groups claim effectivity instead of efficiency in the operation and management of their respective groups. By exploring developments in the current financial landscape, this chapter argues that distinguishing different kinds of resilience creates possibilities for analysing the different roles of financial arrangements and institutions for the financial landscape. Thus, this explorative study on ROSCAs questions the dominance of the financial side of the coin that has resulted from the efficiency-driven institutions of the financial sector. Chapter 5 presents each CAF group in more detail. The reader gets to know the different members of each CAF group and their motivations to join. Financial performance is assessed according to members’ savings and loan behaviour during the period of their participation. The quantitative data is analysed on how much the members of a respective CAF group saved and how much they borrowed from the group’s fund during the entire period of the research. These insights help the reader to better understand the differences and similarities between the five CAF groups. Chapter 6 discusses the empirical findings from the first three CAF groups. This chapter explores whether and how participation in a CAF group improves individuals’ well-being with regard to expanding their social networks, improving their financial household management, and strengthening their entrepreneurial positions. It also shows how participating in CAF groups at the grassroots level contributes to the well- Balancing the social and financial sides of the coin26being of vulnerable people in the Netherlands. Finally, the chapter reconsiders Sen’s notion of freedom for the particular context of overconsumption, inequality, and overindebtedness. In applying Sen’s capability approach, I realized that the approach has a “blind spot” regarding individuals’ possible impacts on the structures within and around them. By adding notions of Giddens’s structuration theory to the core concepts of the capability approach, I rendered the capability approach more sensitive to how CAF-group members may interact with their surrounding structures (Chapter 7). The relation between individuals and surrounding societal structures is extensively discussed in what is often referred to as the agency-structure debate (Ritzer, 2003). This debate is based on differing views about whether and to what extent individuals have a free will and can act according to their preferences, values, and personal feelings, or to what extent they are the “product” of their surrounding social structures. By expanding the capability approach with the notions of internal structures, on the one hand, and more proximate and more distant societal structures, on the other (Stones, 2008), I detail not only how individual agents are influenced by their surrounding structures, but how they might also have – however small and modest – an impact on those structures themselves. As a result, this chapter not only provides answers to how CAF-group participation affects individual members’ access to social networks, their financial household management, and their entrepreneurial positioning, but it also enabled me to investigate how and why individuals join a CAF group to take part in a so-called countermovement. Thus, I also consider how CAF members could possibly play a role in their surrounding social structures, like the existing financial landscape and the emerging participation society in the Netherlands.One way in which a CAF group can play a role in the surrounding structures is to become a community of practice. Wenger (1998) describes a community of practice as a group of people who share a certain domain of interest that distinguishes them from others. In a community of practice, it is crucial to learn from each other by engaging in joint activities and discussions. To discuss whether and how some of the CAF groups studied here turned into a community of practice, I apply the criteria of a common goal, trust, democratic leadership, and accumulation of knowledge in Chapter 8. The application of these criteria to the functioning of the CAF groups also provides more insight into how members interacted which each other in the different CAF groups. I will show how two of the five CAF groups indeed turned into communities of practice. Chapter 9 concludes this dissertation by linking the empirical findings on the individual level (Chapters 6 and 7) with those on the group level (Chapter 8). I follow this with a general discussion of the main contribution to theory development made by the Balancing the social and financial sides of the coin27expansion of Sen’s capability approach with Giddens’s structuration theory. Then, I discuss the role of CAF groups in enabling individual participants to balance the social and financial sides of the coin. Finally, I conclude this dissertation by showing how CAF groups have the potential to empower their members to meet the expectations of the participation society and the challenges of the contemporary financial landscape. I also provide recommendations for how engaged scholars doing action research can be reflective about the way they interact with their research participants and for how practitioners can set up CAF groups in the field. In the Epilogue, I tell the story of Cash2Grow. Based on the experiences and findings of my research, I co-founded the Cash2Grow foundation to promote savings groups in the Netherlands as a tool for financial and social empowerment. By developing improved savings-group methodologies and financial education tools, the foundation aims to train staff and volunteers from different types of (welfare) organizations to establish savings groups among their target populations. At the moment, we are also collaborating with similar organizations in Spain, Italy, Germany, and Poland to learn more from each other in a project subsidized by the EU.
Human Resource Management (HRM) is widely believed to have a positive effect on the performance of company. However, empirical proof of this is hard to come by. In this study, we try to establish a linkage between HRM and financial output of two case studies in the profit sector. To do this, we have developed a performance measurement system that is tailored to the specific needs of measuring HRM-performance in for-profit of company. Although we do not try to generalize the outcome of this study, it looks promising in the way that more case studies should be conducted using this specific performance measurement system. If nothing else, management and controllers could use the system to evaluate the performance of their HRM-tools.
Whitepaper: The use of AI is on the rise in the financial sector. Utilizing machine learning algorithms to make decisions and predictions based on the available data can be highly valuable. AI offers benefits to both financial service providers and its customers by improving service and reducing costs. Examples of AI use cases in the financial sector are: identity verification in client onboarding, transaction data analysis, fraud detection in claims management, anti-money laundering monitoring, price differentiation in car insurance, automated analysis of legal documents, and the processing of loan applications.
The project is a field study for several diverse hotel chains, including individual properties operated under the Marriott brand, Postillion Hotels. Each brand has unique values, missions, and visions. Therefore, this integration will lead to the development of company-specific sustainability strategies and processes. The study will use the model of levers of control to provide such tailor-made solutions and determine if a generic approach can be developed to match a corporate sustainability strategy with a corporate strategy and develop a supporting management control system for operationalizing the sustainability strategy. Research question: How can a hotel brand formulate and implement a sustainability strategy with a supporting management control system that not only complies with the new CSRD (Corporate Sustainability Reporting Directive) legislation but also emphasizes the creation of substantial value in financial and ESG (Environmental, Social, and Governance) aspects, based on double materiality, in line with the organization's corporate values and beliefs? Objective The aim is to develop a validated method, including tools, that hotels can use to create a sustainability strategy in line with the CSRD guidelines. This strategy should create value for the organization, the environment, and society, while aligning with the hotel's values and beliefs. Merely being compliant with the CSRD is not enough for hotels. Instead, they should view the implementation of the CSRD as an opportunity to stand out in terms of sustainability. By creating value in areas such as environment, safety, and governance, or through the six capitals (financial, manufactured, intellectual, human, social and relationship, and natural) that align with the UN-SDGs, and explicitly taking both an inside-out and an outside in perspective (double materiality), hotels can significantly enhance their sustainability reputation.
In order to achieve much-needed transitions in energy and health, systemic changes are required that are firmly based on the principles of regard for others and community values, while at the same time operating in market conditions. Social entrepreneurship and community entrepreneurship (SCE) hold the promise to catalyze such transitions, as they combine bottom-up social initiatives with a focus on financially viable business models. SCE requires a facilitating ecosystem in order to be able to fully realize its potential. As yet it is unclear in which way the entrepreneurial ecosystem for social and community entrepreneurship facilitates or hinders the flourishing and scaling of such entrepreneurship. It is also unclear how exactly entrepreneurs and stakeholders influence their ecosystem to become more facilitative. This research programme addresses these questions. Conceptually it integrates entrepreneurial ecosystem frameworks with upcoming theories on civic wealth creation, collaborative governance, participative learning and collective action frameworks.This multidisciplinary research project capitalizes on a unique consortium: the Dutch City Deal ‘Impact Ondernemen’. In this collaborative research, we enhance and expand current data collection efforts and adopt a living-lab setting centered on nine local and regional cases for collaborative learning through experimenting with innovative financial and business models. We develop meaningful, participatory design and evaluation methods and state-of-the-art digital tools to increase the effectiveness of impact measurement and management. Educational modules for professionals are developed to boost the abovementioned transition. The project’s learnings on mechanisms and processes can easily be adapted and translated to a broad range of impact areas.
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.
