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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 in this study. Metrics of interorganizational ties such as closeness, cohesiveness, and interconnectivity are crucial to this viewpoint because they are fundamental causal factors for understanding the genesis of high rates of entrepreneurial dynamics in these low-income countries. To facilitate the spread of entrepreneurial support components to entrepreneurs, this study emphasizes the importance of the characteristics of EE networks and, consequently, of the interactions between their actors. It also emphasizes how crucial it is for knowledge and information to move freely inside an EE, as well as how important it is to have a strong collaborative and cooperative environment. Thus, a deeper comprehension of EEs helps us identify the circumstances that are generally favorable for alliance games and coopetition to flourish in a given region.
Entrepreneurial ecosystem (EE) research requires a better understanding of its various configurations and processes at its whole scale to open its black box and create new theoretical opportunities. We designed exploratory research to longitudinally observe network behaviors between EE ‘species’ in four territories (3 in Africa, 1 in France) from 2017 to 2021 by observing […]
What makes one specific Entrepreneurial Ecosystem (EE) more conducive to entrepreneurial activity than another? We mobilize ecosystem and network theories to describe EE processual patterns having an impact on Entrepreneurial Dynamics outcomes. We targeted low-income environments to identify the EE effect. An empirical and exploratory research was conducted based on quantitative graph theory, using big […]
Un écosystème caractérise un milieu réunissant les conditions pour permettre le développement d’entités vivantes, interagissant entre elles. Quid des écosystèmes entrepreneuriaux, censés aider les entrepreneurs dans leurs projets, leur croissance et leur pérennité ? Kit de survie dans la jungle de l’entrepreneuriat à l’usage des jeunes entreprises. Grégory Guéneau, Didier Chabaud, and Marie-Christine Chalus-Sauvannet https://www.hbrfrance.fr/chroniques-experts/2022/10/49857-comment-naviguer-dans-la-jungle-de-lecosysteme-entrepreneurial/
Opening entrepreneurial ecosystem’s black box: the power of networks in African low-income countries
What makes one type of entrepreneurial ecosystem (EE) more conducive to entrepreneurial dynamics than another? EE research is a hot topic, and considerable progress has been made as regards its elements, network, and actors’ components. However, some scholars regret the absence of an empirical analysis of EE as a whole to understand how EE configuration […]
