Identifying necessary conditions to deep-tech entrepreneurship
Eduardo Avancci Dionisio,
Edmundo Inacio Junior,
Cristiano Morini and
Ruy de Quadros Carvalho
RAUSP Management Journal, 2023, vol. 58, issue 2, 162-185
Abstract:
Purpose - This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship. Design/methodology/approach - The authors used 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 data sets. 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 limitations/implications - The 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, as it allows to identify priority areas for resource allocation.
Keywords: Entrepreneurial ecosystems; Emerging technology (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:rauspp:rausp-09-2022-0203
DOI: 10.1108/RAUSP-09-2022-0203
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