Search results

The chapter provides empirical research results on the peculiarities of social innovation and the specific features that its business model must support. It concludes by proposing a Social Innovation Business Model Canvas and steps towards Social Innovation typologies.

The research is based on the results of a comparative analysis of 25 business case studies and 32 biographies conducted within the SIMPACT research framework. We then implemented a process of reverse engineering to uncover the business models behind the cases which facilitated the creation of a typology for different social innovation business models. Reverse engineering is the application of tools and processes used to study new business ventures in comparison with existing ones. As such, it sheds further light on the broad characteristics of social business models and their value creation mechanisms. The evidence coming from the cases were analyzed within a new business model and clustered to identify a typology of business models of social innovations.

The main SIMPACT findings, resulting from the reverse engineering process and upon which our discussion is based, can be seen in the following distinguishing characteristics of SI business models. SI business models are: configured around finding complementarity between antagonistic assets and seemingly conflicting logics; often structured around a divergence in the allocation of cost, use, and benefit leading to multiple value propositions; modeled on multiactor/multisided business strategies, and developed as frugal solutions and through actions of bricolage. Four typologies of social innovation were identified: beneficiary as actor, beneficiary as customer, beneficiary as user, and community-asset-based models.

While much attention has been placed on for-profit business models, there is little literature on social/not-for-profit business models. This chapter can add to this gap by providing substantial empirical evidence.

Practitioners in the field of social innovation, particularly the growing intermediary sector, could integrate the findings of the research in their work.

The work is also leading to the construction of a future business toolbox for social innovation, which will be even more useful for incubators, accelerators, and supporting structures.

Research presented in this chapter is the result of an extensive comparative analysis across all of Europe, including examples of failure, and the first to propose a typology of SI Business Models.

This chapter explores the issue of an outsider entering an existing business network in an interactive, interdependent and interconnected business world. Developing the new venture appears a ‘mission impossible’ as the new venture has no relationship in the relevant network or a tenuous one at best. The critical issue and major difficulty for the new company are to make established business actors perceive that there are good reasons to admit the new venture into the existing business network. The fate of the new venture, its acceptance by at least some other business actors, will largely depend on how the incumbents perceive the new company to affect their existing relational assets which result from past investments. In attempting to become a new node of a business relationship, the ‘management’ of the new venture has to address two issues. First, it has to find some actors interested in relating to the new venture and to engage them in developing the initial business relationships. Second, the new venture has to manage the networking that is combining the initial relationships with each other. The authors identify and discuss six spaces for action for new business ventures related to these two challenges.

The chapter provides the reader with a critical, conceptual framework for further independent exploration of actor-network theory (ANT) when applied to higher education reform. First, it introduces briefly the potentials of ANT as a means of questioning, and eventually escaping, the formal policy level as the “natural” point of departure for studying policy reform. Second, by pointing to my experiences from an on-going study on a Danish subset of the European Bologna process, in which I invited relevant actors to participate in formulating the research questions, it concretizes – and critically reviews – how ANT may feed new insights as well as challenges into the research process.

In this chapter we explore the relationship between current gendered practices and past conditions through the lens of actor-network theory (ANT). In particular we are interested in the viability of ANT as a lens for studying the past and in ways that can be reconciled with feminist thought. We argue that although there is some nonresonance between ANT and feminist theorizing, using ANT in a critically historicist way allows some of the barriers between ANT and feminism to be broken down. We synthesize an approach to study gendered organizational processes that exist in and over time, identifying and surfacing some of the actants (i.e., human and material factors that encourage people to act) that work together within networks to produce gendered effects such as ongoing discriminatory practices. We trace these effects using the history of Air Canada as an exemplar, in the process noting the conceptual and ontological differences between the past and history. Finally, the advantages of a critically historical ANT are discussed as a way to achieve a level of fusion between ANT and feminist thought.

Bruno Latour, one of the architects of actor-network theory, has now enfolded this approach within a larger project, An Inquiry into Modes of Existence – AIME. Framed as an empirical inquiry into the ontological and epistemological conditions of modernity, Latour argues for a radical shift in how “objective truth,” “scientific fact,” and “meaning” are established within the world. In this chapter, I draw on several elements of AIME to illustrate how Latour’s ontology, building on, augmenting and responding to criticisms of actor-network theory, can be used to explore higher education, focussing on one episode derived from a larger ethnography of medical education.

This chapter explores the data exchange relationships between stakeholders in a tourism domain as a means of assessing the potential application of open data initiatives. Social network analysis is utilized to analyze network relationships and explain the pattern and consequences of these relationships. Based on centrality and other network attributes, the analysis highlights the key influencers in the tourism data ecosystem examined, and suggests that initial steps towards implementing a tourism open data policy should focus on opening up tourism asset data, and relaxing current restrictive data exchange practices. The agency with responsibility for collecting and disseminating tourism asset data, is well positioned to become the data broker in an emergent tourism open data ecosystem.

This chapter falls into two parts. The first offers a theoretical overview of three actor perspectives on issues of development intervention: (a) activity theory, (b) actor-network theory and (c) actor-oriented interface analysis. The second provides an illustrated discussion of the usefulness of actor perspectives for understanding the encounters that take place between ‘development experts’ (local and foreign) and so-called ‘beneficiaries’. The argument draws upon ethnographic data relating to issues of development interface, actor identities, networks and discourse.