Stephanie Decker

In African countries such as Ghana, microentrepreneurs make formal economy goods and services available to base of the pyramid (BOP) consumers. Multinational enterprises (MNEs) co-opt BOP business models when they enter the BOP market. We conducted a case study of six MNEs and 36 microentrepreneurs in three key sectors. In two sectors (fast-moving consumer goods and telecommunications), reverse bridging enables MNEs to capture value from BOP business models, which has a negative impact on both the financial and social capital of microentrepreneurs. In the third sector (finance), microentrepreneurs are buffered from the negative effects of co-optation through a process of integrating, which enhances their social capital but reduces their financial capital. Our research contributes to the BOP literature, first by demonstrating that financial and social capital are intertwined at the BOP level, and second by analyzing how the negative effects of co-optation can be cushioned by enhancing microentrepreneurs’ social capital.

Email archives are important historical resources, but access to such data poses a unique archival challenge and many born-digital collections remain dark, while questions of how they should be effectively made available remain. This paper contributes to the growing interest in preserving access to email by addressing the needs of users, in readiness for when such collections become more widely available. We argue that for the content of email to be meaningfully accessed, the context of email must form part of this access. In exploring this idea, we focus on discovery within large, multi-custodian archives of organisational email, where emails’ network features are particularly apparent. We introduce our prototype search tool, which uses AI-based methods to support user-driven exploration of email. Specifically, we integrate two distinct AI models that generate systematically different types of results, one based upon simple, phrase-matching and the other upon more complex, BERT embeddings. Together, these provide a new pathway to contextual discovery that accounts for the diversity of future archival users, their interests and level of experience.