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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.
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.
Qu’est-ce qui rend un écosystème entrepreneurial (EE) plus conducteur de dynamiques entrepreneuriales qu’un autre ? Si les EE constituent un sujet de premier plan, certains chercheurs regrettent l’absence de recherches empiriques permettant de saisir le fonctionnement d’ensemble des EE. Pour introduire cette perspective, nous proposons une recherche originale sous l’angle théorique et méthodologique des liens inter-organisationnels entre acteurs de l'EE, à l'échelle d'un pays. Sur la base de la théorie des réseaux, une recherche exploratoire est menée dans cinq pays africains à faible revenus, en utilisant des méthodes de recherche innovantes (la théorie quantitative des graphes, le web scraping, l'analyse comparative qualitative) pour comprendre les modèles organisationnels de ces EE et leur impact sur les entreprises et les territoires. Au cœur de cette perspective se trouvent les mesures des liens inter-organisationnels de proximité, de cohésion et d'inter-connectivité, qui sont des conditions causales clés pour comprendre l’origine des taux élevés de dynamique entrepreneuriale dans ces pays à faible revenus. Ce travail souligne l'importance des attributs des réseaux des EE – et ainsi des relations entre acteurs – pour faciliter la distribution des composants de soutien à l'entrepreneuriat et aux entrepreneurs. Elle met également en évidence l'importance du flux de circulation de l'information et des connaissances, ainsi qu'un environnement collaboratif et coopératif fort pour rendre une EE plus propice à la dynamique entrepreneuriale. Ainsi, une meilleure compréhension des EE permet d’appréhender les conditions plus ou moins propices aux développements de jeux d’alliances et à la coopétition sur un territoire.
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