确定深科技创业的必要条件

IF 1.3 Q3 BUSINESS
Eduardo Avancci Dionisio, Edmundo Inácio Júnior, Cristiano Morini, Ruy de Quadros Carvalho
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引用次数: 0

摘要

本文旨在探讨创业生态系统(EE)提供的哪些资源是深度技术创业所必需的。设计/方法/方法作者使用了一种被称为必要条件分析(NCA)的新方法来分析来自132个国家的电子产品和高科技创业公司的数据,这些数据收集在全球创新指数和Crunchbase数据集中。国家企业法使确定环境企业资源是否是创业的必要条件成为可能。必要条件与政治、商业环境有关;教育、研究和发展;一般基础设施;信贷支持;贸易;多元化和市场规模;知识吸收能力。研究局限/启示研究结果表明,商业和政治环境是推动深科技创业的最必要条件。政策制定者可以优先考虑使企业产出水平最大化的条件,而不是关注不那么必要的因素。社会意义有些资源对性能的要求比其他资源低。因此,政策制定者应该考虑分配政策努力,以加强产出水平最大化的资源。关于深科技创业的研究很少。本研究提供了一个瓶颈分析,可以指导制定支持深科技创业的政策,因为它允许确定资源配置的优先领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying necessary conditions to deep-tech entrepreneurship
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.
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来源期刊
CiteScore
3.30
自引率
5.00%
发文量
22
审稿时长
30 weeks
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