On the location of knowledge-intensive entrepreneurship in developing countries: lessons from São Paulo, Brazil

Schaeffer

et al. 2019

INMR

Self Cite

Purpose -The purpose of this paper is to analyze this phenomenon and identify its determinants using data from Brazilian higher education institutions.Design/methodology/approach -Based on a data set comprehending 2,230 university students from 70 different institutions across the country, the authors develop five Probit models to assess impacts related to individual traits and systemic conditions on five dependent dimensions: entrepreneurial activity, potential entrepreneurs, high-impact entrepreneurship, serial entrepreneurship and innovation-driven entrepreneurship.Findings -The lack of significance in many of the variables included in estimations suggests that student entrepreneurship seems to be a rather random phenomenon in Brazil.Research limitations/implications -Findings pose challenges for student entrepreneurship, as targets for intervention are not clear.Originality/value -Over the past decades, universities have been receiving an increasing demand to go beyond their role of producing science and technology to explore its knowledge potential to produce novel commercial applications. However, while there is a growing interest in ways to foster scientific academic entrepreneurship, universities also serve as a positive environment for student entrepreneurship training, knowledge sharing, testing ideas and learning. So far, the importance of student entrepreneurship has received far less attention than it likely deserves.

Section: Resultssupporting

confidence: 81%

Section: Inmr 162mentioning

confidence: 91%

Determinants of student entrepreneurship

Alves

Schaeffer

et al. 2019

INMR

Self Cite

“…Florida & Mellander, 2014). However, these effects do 9 not drive entrepreneurial activity, supporting recent evidence in the field (Fischer et al, 2018b). Another vector of high relevance concerns the existence of a support structure of local businesses in knowledge-intensive activities, a marked signal of localization economies as drivers of innovation ecosystems' capabilities (Delgado et al, 2010).…”

Section: Resultsmentioning

confidence: 54%

Innovation Ecosystems in Brazil: Research Universities as Drivers of Competitiveness

Schaeffer

Encontro De Estudos Em Empreendedorismo E Gestão De Pequenas Empresas

Queiroz

2018

Universities are increasingly perceived as agents involved with regional development. It is now recognized that academic contributions to the socioeconomic environment go well beyond scientific investigations and teaching activities, incorporating market-oriented initiatives to the academic mission. However, these effects are geographically bounded. Given these conditions, this article aims at addressing universities' impacts upon output vectors of localized innovation ecosystems. Using data from cities and microregions in the State of São Paulo, Brazil, we address universities impacts on the local-level generation of patents and utility models, software production and emergence of knowledge-intensive entrepreneurship. Findings support the proposition that major academic institutions lie at the heart of innovation ecosystems, but impacts are mostly local, happening more strongly at the level of cities.

“…Path 1 seemingly stands for a typical configuration of peripheral entrepreneurial ecosystems. The emblematic case of this group is São Carlos, a small/medium-sized city, far from the State capital, with a strong academic environment and thriving conditions for KIE activity (Fischer et al, 2018). In its turn, the city of Araras presents a very low membership in the outcome, a situation that can be understood as an 'error' as per its inclusion in Path 1.…”

Section: Resultsmentioning

confidence: 99%

Configurations of Knowledge-Intensive Entrepreneurial Ecosystems: An Assessment of the State of Sao Paulo, Brazil

Alves

Encontro De Estudos Em Empreendedorismo E Gestão De Pequenas Empresas

Vonortas

et al. 2018

Knowledge-intensive entrepreneurship is unevenly distributed in geographical space, which is largely attributed to heterogeneous endowments in terms of knowledge, institutions, resources and demand. Nonetheless, specialized literature faces a lack of approaches dealing with the evolutionary dynamics of Entrepreneurial Ecosystems' components. Based on these foundations, we hypothesize that entrepreneurial ecosystems can assume different configurations, i.e., varying combinations of influential dimensions that can generate similar outcomes in terms of entrepreneurial intensity. In order to address this proposal we use Qualitative Comparative Analysis with fuzzy sets to assess city-lvel data from the State of São Paulo, Brazil.