Current theorizations of bricolage in entrepreneurship studies require refinement and development to be used as a theoretical framework for social entrepreneurship. Our analysis traces bricolage's conceptual underpinnings from various disciplines, identifying its key constructs as making do, a refusal to be constrained by limitations, and improvisation. Although these characteristics appear to epitomize the process of creating social enterprises, our research identifies three further constructs associated with social entrepreneurship: social value creation, stakeholder participation, and persuasion. Using data from a qualitative study of eight U.K. social enterprises, we apply the bricolage concept to social entrepreneurial action and propose an extended theoretical framework of social bricolage.

We augment social exchange theory with dialectical theory to build a framework to examine corporate-social enterprise collaborations. These cross-sector collaborations represent a novel form of political-economic arrangement seeking to reconcile the efficient functioning of markets with the welfare of communities. We propose that corporate-social enterprise collaborations are shaped by (1) the value that each member of the collaboration attributes to their partner's inputs, (2) competing practices and priorities intrinsic to the corporation and the social enterprise, and (3) expected benefits of the collaboration to each partner. For a synthesized state of collaboration to emerge and the partnership to be sustained, we posit that the antithetical forces inherent within the relationship must be resolved.

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The term ‘big data’ has recently emerged to describe a range of technological and commercial trends enabling the storage and analysis of huge amounts of customer data, such as that generated by social networks and mobile devices. Much of the commercial promise of big data is in the ability to generate valuable insights from collecting new types and volumes of data in ways that were not previously economically viable. At the same time a number of questions have been raised about the implications for individual privacy. This paper explores key perspectives underlying the emergence of big data, and considers both the opportunities andethical challenges raised for market research.

This article explores effectual processes within home-based online businesses. Our empirical evidence provides a number of refinements to the concept of effectuation in this specific domain. First, the ubiquity of non-proprietary online trading platforms encourages the adoption of effectual approaches and removes the importance of forming proprietary strategic alliances and pre-commitments. Second, the notion of affordable loss – a central tenet of effectuation – should be extended beyond the notion of economic to social affordable loss, including loss of status and reputation, and finally, home-based online businesses allow effectuation to be associated with low levels of entrepreneurial self-efficacy and experience