11 research outputs found

    Social entrepreneurs as ecosystem catalysts: the dynamics of forming and withdrawing from a self-sustaining ecosystem

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    Creating a long-lasting impact is one of the defining goals of social entrepreneurship. Yet, social entrepreneurs often face a dilemma between sustaining their organization and offering a permanent fix to a social problem. We question the assumption that organizational permanence and growth are intrinsically desirable for social entrepreneurs and propose an alternative, an inductively grounded model of ecosystem leadership, which we term ecosystem catalysis. Through a single case study of social entrepreneurs addressing the lack of access to diarrhoea treatment in Zambia, we conceptualize ecosystem catalysis as a process through which an organization forms an ecosystem around a new value proposition while gradually making itself redundant, ultimately withdrawing from the ecosystem without compromising its functioning. Our work contributes to ecosystem literature by contrasting the key aims and mechanisms of an ecosystem catalyst to those of an orchestrator and identifying the conditions under which catalysing may be a better choice than orchestrating an ecosystem. We contribute to social entrepreneurship literature by decoupling social impact from organizational growth and permanence and presenting a more dynamic model of social impact resulting from distributed contributions in ecosystems

    Rethinking diffusion of vaccines: giving healthcare a better shot

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    Vaccination is an area of rapid scientific and technological advance and is among the most successful public health interventions ever. However, for its potential to be met, innovation systems should not only make vaccines available: it is also essential that delivery systems suit social desires and local peculiarities. This work presents 2 cases of failures in diffusing vaccines, as social, cultural and political aspects were not well addressed throughout the campaigns. Lessons taken from these cases suggest that instead of focusing merely on increasing immunity, policies should integrate interdisciplinary bodies of knowledge and promote social engagement through bottom-up processes. These approaches are not only keener on improving acceptability and efficacy in delivering existing technologies, but also to create (and adapt) novelties based on local capabilities

    The “piggyback” approach to innovation

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    In business and in life, we tend to address problems in the manner we’ve been taught, failing to see adjacent opportunities and unconventional pairings. Consider how we have “the way” we do things: the way we make pasta, the way we use a hammer, the way we deal with our day-to-day problems. On the one hand, this keeps us focused — it gives us a mental script to follow. On the other hand, it limits our ability to see beyond the default. Piggybacks — tactics that capitalize on pre-existing but seemingly unrelated systems and networks — can help organizations create entirely new businesses, diversify sources of revenue, improve products’ appeal, and increase exposure. The author offers examples of how organizations, ranging from small nonprofits to big corporations, are employing this tactic

    Why managers should be more like hackers

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    Prototyping, experimentation, and piloting in the business model context

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    Business model innovation is increasingly seen as a key competitive factor in B2B settings. In this context, prototyping, experimentation, and piloting have gained prominence as agile and resourceful methods that can be employed in business model innovation pursuits. Yet, despite increasing interest in this area, and the growing number of large B2B companies who also started deploying these methods, there is a lack of clarity on the conceptual boundaries between the three concepts. This may impede the advancement of business model innovation research and practices based on the three concepts. We address this gap by conducting a structured literature review, using cross-reference searches and a key informant interview study of 43 executives in 13 B2B organisations. We offer three contributions: (1) definitions for each of these three concepts, (2) seven dominant similarities and (3) five key differences across them. Our research shows that the concepts serve distinct purposes at different stages of the business model innovation process, and we discuss these findings and their broader implications for the literature on business model innovation and for innovation management practices in B2B companies.Marketing and Consumer Researc

    Empowering Political Participation Through Artificial Intelligence

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    Technologies based on artificial intelligence (AI) can radically change the existing political paradigm, empowering more diffused forms of political participation beyond elections—especially in the emergent worldwide context of unrestricted disclosure of governmental data online. The objective of this research is to investigate how civil society can use AI-based technologies to empower political participation. A sample of 721 publications was conducted through a combination of bibliometric analysis and systematic review, which revealed the characteristics and the nascent state of literature. This was followed by an exploratory Case Study, conducted through in-depth interviews and participant observation and supplemented by secondary materials. The content of the Case Study was extensively and systematically analysed through textual coding. We depicted a framework of how civil society can use AI-based technologies to nurture diffused political participation. This framework scrutinizes six focal areas and their respective dominant traits and descriptive features, aiming at contributing to guiding academic studies and political endeavours
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