Novel study of interorganizational network among EE actors at the national level in five low-income African nations using web scraping, quantitative graph theory, and QCA.
What distinguishes an entrepreneurial ecosystem (EE) that supports entrepreneurial dynamics from one that does not? Despite being a hot issue, several scholars address the paucity of empirical studies that attempt to explain the overall functioning of EEs.
To provide this perspective, we present a novel study of the theoretical and methodological facets of the interorganizational network among EE actors at the national level. Exploratory research based on network theory is conducted in five low-income African nations to better understand the organizational models of these EEs and their effects on businesses and regions.
Innovative research techniques such as web scraping, quantitative graph theory, and qualitative comparative analysis are used. Metrics of interorganizational ties such as closeness, cohesiveness, and interconnectivity are crucial.
This study emphasizes the importance of the characteristics of EE networks and the interactions between their actors.
Published in: journals.openedition.org/fcs/12758
This article was first published on ose.africa (legacy site).
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