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Identifying necessary conditions to deep-tech entrepreneurship

Dionisio, Eduardo Avancci; Inacio Junior, Edmundo; Morini, Cristiano; Carvalho, Ruy De Quadros

RAUSP Management Journal; v. 58 n. 2 (2023); 162-185

Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade 2023-05-08

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  • Título:
    Identifying necessary conditions to deep-tech entrepreneurship
  • Autor: Dionisio, Eduardo Avancci; Inacio Junior, Edmundo; Morini, Cristiano; Carvalho, Ruy De Quadros
  • Assuntos: Entrepreneurial Ecosystems; Emerging Technology
  • É parte de: RAUSP Management Journal; v. 58 n. 2 (2023); 162-185
  • Descrição: Purpose – Our research aimed to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship. Design/methodology/approach – We employ a novel approach known as necessary condition analysis (NCA) to data on EEs and deep-tech startups from 132 countries, collected in a global innovation index and Crunchbase datasets. The NCA makes it possible to identify whether an EEs resource is a necessary condition that enables entrepreneurship. Findings – Necessary conditions are related to political and business environment; education, research and development; general infrastructure; credit; trade; diversification and market size; and knowledge absorption capacity. Research implications – Our results show that business and political environments are the most necessary conditions to drive deep-tech entrepreneurship. Practical implications – Policymakers could prioritize conditions that maximize entrepreneurial output levels rather than focusing on less necessary elements. Social implications – Some resources require less performance than others. So, policymakers should consider allocating policy efforts to strengthen resources that maximize output levels. Originality/value – Studies on deep-tech entrepreneurship are scarce. This study provides a bottleneck analysis that can guide the formulation of policies to support deep-tech entrepreneurship, since it allows to identify priority areas for resource allocation.
  • Títulos relacionados: https://www.revistas.usp.br/rmj/article/view/211740/193917; https://www.revistas.usp.br/rmj/article/view/211740/193916
  • Editor: Universidade de São Paulo. Faculdade de Economia, Administração e Contabilidade
  • Data de criação/publicação: 2023-05-08
  • Formato: Adobe PDF
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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