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1 – 2 of 2Eduardo Avancci Dionisio, Edmundo Inacio Junior, Cristiano Morini and Ruy de Quadros Carvalho
This paper aims to address which resources provided by an entrepreneurial ecosystem (EE) are necessary for deep technology entrepreneurship.
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.
Details
Keywords
André Luiz Tavares Damasceno, Cristiano Morini and Gean Lucas Pannellini
The purpose of this paper is to analyze the process of why a Brazilian digital startup company reached unicorn status the fastest.
Abstract
Purpose
The purpose of this paper is to analyze the process of why a Brazilian digital startup company reached unicorn status the fastest.
Design/methodology/approach
After the literature review, the authors conducted the questionnaire containing 13 questions used in 18 in-depth interviews conducted in the case study. Saturation point combined with the independent and in-depth analysis of the researchers is used to achieve internal and external validity. The primary data collected underwent an analytical approach, followed by a resource-based view (RBV). RBV does not deal with time. There is a gap in the literature and an opportunity here: to analyze the fastest company to become a unicorn under the RBV lens.
Findings
The case reveals that value can be found in traditional sectors, as is the case of the real estate sector. This is a case of a company in the direct home-buying space.
Practical implications
The contribution of this paper is both practical, with the seven lessons, and theoretical. Resources allocated to a specific context in a specific geographic region shift the attention away from the absolute value of resources to the timing of aggregating them. Thus, the contribution accounting for time is new to the RBV.
Originality/value
The originality lies in the analysis of the dynamics of digital businesses with exponential growth.
Details