Reprint of: Capturing conversations in entrepreneurial ecosystems

Abstract

This paper examines a novel and innovative methodological approach and dataset for measuring the complex relational dynamics underpinning entrepreneurial ecosystems (EEs). Existing measurement techniques have largely failed to yield sufficiently nuanced data or insights to inform robust policy recommendations within this research field. To rectify this situation, this paper sets out a novel approach to assessing the relational connectivity within EEs by capturing entrepreneurial "conversations". Drawing on real-time data extracted from an event-based social media platform, in combination with social network analysis and qualitative interview data, we provide an in-depth assessment of the relational connections within the city of Edinburgh at three analytical levels. Overall, the paper demonstrates that the analysis of conversations and conversational spaces is an important mechanism for exploring and mapping the relational connectivity within EEs. As well as producing novel empirical insights, this approach provides policy makers with vital strategic policy intelligence to help better inform public policy frameworks and associated interventions. • Existing measurement techniques examining entrepreneurial ecosystems (EEs) have largely failed to yield sufficiently nuanced insights. • This paper offers a novel data-driven methodological framework for examining EEs. • It draws on “real-time” data extracted from a digital meetup platform to undertake social network analysis within the Edinburgh EE. • This methodological approach provides policy makers with vital “strategic policy intelligence” to help inform public policy frameworks.