The BMT provides the building blocks to develop a logic for a business model. In such a model the nature of value creation, how value creation is organized, and how transactions are taking shape are operationalized so that they meet the proposition. Practice shows that at present business models aimed at capturing multiple value creation can be divided into three major categories: (1) platform business models, (2) community-based (or collective) business models, and (3) circular business models. The three archetypes differ mainly in the way in which they create value, as well as the objective, the mechanism through which value creation takes place, and the infrastructural and technological requirements. When using the BMT, it is useful to consider at an early stage which business model archetype is dominant in the realization of the intended value proposition. Choosing a business model archetype might look straightforward, but it can be quite a tricky task.
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Sustainable entrepreneurs need to balance social, environmental and economic goals. However, some put sustainable goals first whereas others prioritize economic outcomes. This suggests differences in types of sustainable entrepreneurs. We study sustainable entrepreneur archetypes based on their motivations to start a venture and on their entrepreneurial orientation (EO). This is important to understand since the degrees of EO and motivations determines not only the sustainability of a venture but also its success and activities of sustainable entrepreneurs. Based on the extant literature and an exploratory, mixed-method study of 24 sustainable fashion firms we put forward four distinct sustainable entrepreneurship archetypes which differ in motivation and EO, namely: Idealists, Evangelists, Realists and Opportunists. Implications for practice, theory and future research are suggested.
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This upper-level Open Access textbook aims to educate students and professionals on how to develop business models that have a positive impact on people, society, and the social and ecological environment. It explores a different view of how to organize value creation, from a focus on an almost exclusively monetary value creation to one that creates positive impact through multiple values.The book offers students and entrepreneurs a structured approach based through the Business Model Template (BMT). It consists of three stages and ten building blocks to facilitate the development of a business model. Users, be they students or practitioners, need to choose from one of the three offered business model archetypes, namely the platform, community, or circular business models. Each archetype offers a dedicated logic for vale creation. The book can be used to develop a business model from scratch (turning an idea into a working prototype) or to transform an existing business model into one of the three archetypes. Throughout the book extra sources, links to relevant online video clips, assignments and literature are offered to facilitate the development process.This book will be of interest to students studying the development of business models, sustainable management, innovation, and value creation. It will also be of interest executives, and professionals such as consultants or social entrepreneurs seeking further education.
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Business rule models are widely applied, standalone and embedded in smart objects. They have become segregated from information technology and they are now a valuable asset in their own right. As more business rule models are becoming assets, business models to monetize these assets are designed. The goal of this work is to present a step towards business model classification for organizations for which its value position is characterized by business rule models. Based on a survey we propose a business model categorization that is aligned to different types of assets and business model archetypes. The results show five main categories of business models: The value adding business rule model, the ‘create me a business rule model’ business model, the KAAS business model, the bait and hook business model and the market place business model.
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This article investigates gender bias in narratives generated by Large Language Models (LLMs) through a two-phase study. Building on our existing work in narrative generation, we employ a structured methodology to analyze the influence of protagonist gender on both the generation and classification of fictional stories. In Phase 1, factual narratives were generated using six LLMs, guided by predefined narrative structures (Hero's Journey and Heroine's Journey). Gender bias was quantified through specialized metrics and statistical analyses, revealing significant disparities in protagonist gender distribution and associations with narrative archetypes. In Phase 2, counterfactual narratives were constructed by altering the protagonists’ genders while preserving all other narrative elements. These narratives were then classified by the same LLMs to assess how gender influences their interpretation of narrative structures. Results indicate that LLMs exhibit difficulty in disentangling the protagonist's gender from the narrative structure, often using gender as a heuristic to classify stories. Male protagonists in emotionally driven narratives were frequently misclassified as following the Heroine's Journey, while female protagonists in logic-driven conflicts were misclassified as adhering to the Hero's Journey. These findings provide empirical evidence of embedded gender biases in LLM-generated narratives, highlighting the need for bias mitigation strategies in AI-driven storytelling to promote diversity and inclusivity in computational narrative generation.
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Data is widely recognized as a potent catalyst for advancing healthcare effectiveness, increasing worker satisfaction, and mitigating healthcare costs. The ongoing digital transformation within the healthcare sector promises to usher in a new era of flexible patient care, seamless inter-provider communication, and data-informed healthcare practices through the application of data science. However, more often than not data lacks interoperability across different healthcare institutions and are not readily available for analysis. This inability to share data leads to a higher administrative burden for healthcare providers and introduces risks when data is missing or when delays occur. Moreover, medical researchers face similar challenges in accessing medical data due to thedifficulty of extracting data from applications, a lack of standardization, and the required data transformations before it can be used for analysis. To address these complexities, a paradigm shift towards a data-centric application landscape is essential, where data serves as the bedrock of the healthcare infrastructure and is application agnostic. In short, a modern way to think about data in general is to go from an application driven landscape to a data driven landscape, which will allow for better interoperability and innovative healthcare solutions.In the current project the research group Digital Transformation at Hanze University of Applied Sciences works together with industry partners to build an openEHR implementation for a Groningen-based mental healthcare provider.
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Worldwide, rivers face challenges due to human and climatic pressures. Floods, droughts, pollution, damming and hydropeaking are only a few examples of these pressures, and influence the way rivers flow. Climate change adaptation projects increase the incentive to domesticate rivers, often legitimised through expert views on (future) vulnerability and risk. This emerging river imaginary dominates current debates in many rivers in our world. River imaginaries reflect spatially bound hydrosocial territories in which multiple actors on multiple scales from multiples sectors operate to reach varying objectives. They include water flows, ecological systems, climate conditions, hydraulic infrastructure, financial means, institutional arrangements, legal frameworks and information/knowledge hubs. In the context of climate change adaptation, river imaginaries are strongly dependent on the extent to which climate change is expected to influence rivers through a mixture of probable, possible, desirable or preferable versions of a (future) river. As such, knowledge-structures of future making are scrutinised in this research by emphasising on the role of change, the role of futures and the role of experts. This presentation aims to elucidate how river imaginaries have influenced river management under climate change adaptation that resulted in large infrastructural projects. Through a study of the Meuse river, a concrete case of a imaginary came into being in the Dutch-Belgian Border-Meuse trajectory. Moreover, preliminary result from adaptation projects in the marshlands of the lower Magdalena in Colombia strengthen the dominate imaginary of technocratic and ecocentric approaches to climate change adaptation where an expert view on local knowledge dominates.
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A transition from a linear economy to a more sustainable and circular economy requires different business models. In this chapter, we provide you with an introduction to the nature and logic of business models. In essence, a business model is a description of how value creation between parties or partners is organized, at a particular moment, in a specific context, and given available resources. Conventional business modelling approaches have several weaknesses---the main point of criticism being their focus on creating financial value. With the Business Model Template (BMT), we try to resolve most of these criticisms. To do so we introduce three archetypal business models: the platform, community, and circular economy business models. This chapter provides an overview on how, over three stages and ten building blocks that together make up the Business Model Template, these archetypal business models will be used.
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Ons huidige socialmediagebruik brengt een aantal grote risico’s met zich mee voor de samenleving. Sociale fragmentatie, polarisatie en de verspreiding van misinformatie zijn schadelijk voor de democratie en onze maatschappelijke weerbaarheid. De verslavende werking van sociale media kan ten koste gaan van ons welzijn. De afhankelijkheid van grote buitenlandse techbedrijven, die winst voor aandeelhouders belangrijker vinden dan het borgen van publieke waarden, ondermijnen onze digitale soevereiniteit en zeggenschap over belangrijke communicatiekanalen.
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