This paper seeks to make a contribution to business model experimentation for sustainability by putting forward a relatively simple tool. This tool calculates the financial and sustainability impact based on the SDG’s of a newly proposed business model (BM). BM experimentation is described by Bocken et al. (2019) as an iterative-multi-actor experimentation process. At the final experimentation phases some form of sustainability measurement will be necessary in order to validate if the new proposed business model will be achieving the aims set in the project. Despite the plethora of tools, research indicates that tools that fit needs and expectations are scarce, lack the specific focus on sustainable BM innovation, or may be too complex and demanding in terms of time commitment (Bocken, Strupeit, Whalen, & Nußholz, 2019a). In this abstract we address this gap, or current inability of calculating the financial and sustainability effect of a proposed sustainable BM in an integrated, time effective manner. By offering a practical tool that allows for this calculation, we aim to answer the research question; “How can the expected financial and sustainability impact of BMs be forecasted within the framework of BM experimentation?
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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.
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Financially vulnerable consumers are often associated with suboptimal financial behaviors. Evaluated financial education programs so far show difficulties to effectively reach this target population. In our attempt to solve this problem, we built a behaviorally informed financial education program incorporating insights from both motivational and behavioral change theories. In a quasi-experimental field study among Dutch financially vulnerable people, we compared this program with both a control group and a traditional program group. In comparison with the control group, we found robust positive effects of the behaviorally informed program on financial skills and knowledge and self-reported financial behavior, but not on other outcomes. Additionally, we did not find evidence that the behaviorally informed program performed better than the traditional program. Finally, we discuss the findings and limitations of this study in light of the financial education literature and provide implications for policymaking and directions for future research.
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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.
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This paper seeks to contribute to sustainable business model innovation (SBMI) literature. It aims to do so by putting forward a relatively simple tool that simultaneously calculates the financial value alongside sustainability impact based on the Sustainable Development Goals (SDGs) of a proposed business model innovation. For small businesses to validate the outcome of a proposed SBMI, some form of sustainability measurement will be necessary. Simple tooling specifically aimed at small businesses do not exist. We address this gap in how to predict or create a prognosis of the combined financial and sustainability effect of a proposed business model (BM) in a frugal (easy, time and knowledge effective) and effectual (allowing for iterations, available means and calculating affordable loss) manner. The tool is called the Pos-FSBC (Positive Financial and Sustainability Business Case). The instrument is a calculation model in Excel where users insert a limited number of numerical variables. Alongside financial variables the tool uniquely links the key variable ∆ SDG to the expected quantity sold, it then calculates the contribution to the SDGs in a relevant and measurable unit. By being successful with a sustainable innovation, the tool helps businesses drive out nonsustainable competitors. The tool has been iteratively developed and tested in several students’ projects and in a pilot with practitioners. Based on the findings we propose more iterations to develop an understanding whether the tool inspires business change and if so how.
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From the article: "After 1993, the concept of strategic alignment is evaluated from the connection between IT and business to much broader definitions in which the connection between all business functions, horizontally and vertically, and later also with projects and stakeholders is mentioned. To achieve stategic alignment there must be a coordination between the strategy of organizations and those who contribute to the implementation of the strategy and the actual performance of an organization. This process is called Human Oriented Performance Management (HOPM). The HOPM model consists of four dimensions: strategy translation, information and visualization, dialogue and action orientation, and continues improvement and organizational learning. To measure the effect of strategic alignment a range of financial performance indicators are used. Based on a literature review this paper explores which financial performance indicators could be used to measure the effect of HOPM. The literature was selected over a period from 1996 – 2015. The research is not only focused on the top of the strategy map, but also on the cause-effect relationships in the strategy map. The underlying performance indicators in the strategy map can show on which figures the dialogue in the HOPM model about strategy implementation must be based. This dialogue is the input to action in which strategic alignment comes about. The goal of the research is to optimize this dialogue by looking for performance indicators that can show the effect of HOPM" The article is used for the course: 'corporate policy' minor MSMM (Masterclass Strategic Marketing Management).
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Background and Aim: Caregivers in the home environment have an important role in timely detecting and responding to abuse. The aim of this review was to provide insight into both the existing tools for the assessment of and interventions for elder abuse by formal and informal caregivers in the home environment, and to categorize them according to a public health perspective, into primary, secondary, tertiary or quaternary prevention. Methods: We selected the assessment tools and interventions that can be used by caregivers in the home environment included in previous reviews by Gallione et al (2017) and Fearing et al (2017). To identify published studies after these reviews, a search was performed using PubMed, Cochrane Database, CINAHL and Web of Science. Results: In total, fifteen assessment tools and twelve interventions were included. The number of assessment tools for elder abuse for use in the home environment is increasing; however, tools must be validated over different cultures and risk groups. In addition, the tools lack attention for the needs of vulnerable older persons such as persons with dementia. Existing interventions for caregivers in the home environment lack evidence for addressing elder abuse and do not address potential adverse effects (quaternary prevention). Conclusion: Assessment tools for elder abuse need further testing for validity and reliability for use by caregivers in the home environment. For interventions, meaningful outcome measures are needed. Important to note is that quaternary prevention requires more attention. This argues for taking into account perspectives of (abused) older persons and caregivers in the development of assessment tools and interventions protocols.
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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.
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Living labs are complex multi-stakeholder collaborations that often employ a usercentred and design-driven methodology to foster innovation. Conventional management tools fall short in evaluating them. However, some methods and tools dedicated to living labs' special characteristics and goals have already been developed. Most of them are still in their testing phase. Those tools are not easily accessible and can only be found in extensive research reports, which are difficult to dissect. Therefore, this paper reviews seven evaluation methods and tools specially developed for living labs. Each section of this paper is structured in the following manner: tool’s introduction (1), who uses the tool (2), and how it should be used (3). While the first set of tools, namely “ENoLL 20 Indicators”, “SISCODE Self-assessment”, and “SCIROCCO Exchange Tool” assess a living lab as an organisation and are diving deeper into the organisational activities and the complex context, the second set of methods and tools, “FormIT” and “Living Lab Markers”, evaluate living labs’ methodologies: the process they use to come to innovations. The paper's final section presents “CheRRIes Monitoring and Evaluation Tool” and “TALIA Indicator for Benchmarking Service for Regions”, which assess the regional impact made by living labs. As every living lab is different regarding its maturity (as an organisation and in its methodology) and the scope of impact it wants to make, the most crucial decision when evaluating is to determine the focus of the assessment. This overview allows for a first orientation on worked-out methods and on possible indicators to use. It also concludes that the existing tools are quite managerial in their method and aesthetics and calls for designers and social scientists to develop more playful, engaging and (possibly) learning-oriented tools to evaluate living labs in the future. LinkedIn: https://www.linkedin.com/in/overdiek12345/ https://www.linkedin.com/in/mari-genova-17a727196/?originalSubdomain=nl
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This white paper is the result of a research project by Hogeschool Utrecht, Floryn, Researchable, and De Volksbank in the period November 2021-November 2022. The research project was a KIEM project1 granted by the Taskforce for Applied Research SIA. The goal of the research project was to identify the aspects that play a role in the implementation of the explainability of artificial intelligence (AI) systems in the Dutch financial sector. In this white paper, we present a checklist of the aspects that we derived from this research. The checklist contains checkpoints and related questions that need consideration to make explainability-related choices in different stages of the AI lifecycle. The goal of the checklist is to give designers and developers of AI systems a tool to ensure the AI system will give proper and meaningful explanations to each stakeholder.
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