| Texto completo | |
| Autor(es): |
Vicentin, Damaris Chieregato
;
Moraes, Gustavo Herminio Salati Marcondes De
;
Fischer, Bruno
;
Prado, Nagela Bianca
;
Meissner, Dirk
;
Anholon, Rosley
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | JOURNAL OF INTELLECTUAL CAPITAL; v. N/A, p. 24-pg., 2025-12-11. |
| Resumo | |
PurposeThis study investigates the main contextual determinants of entrepreneurial culture (EC) in emerging ecosystems, interpreting EC as an intangible resource that affects the dynamics of Intellectual Capital within entrepreneurial ecosystems. It analyzes how factors based on the pillars of such ecosystems influence perceptions regarding structural conditions associated with creativity and innovation in a given region.Design/methodology/approachA quantitative data mining approach was applied to survey data from 193 ventures funded by the S & atilde;o Paulo Research Foundation in Brazil, considering six EE pillars: financial support, regulatory environment, government assistance, infrastructure, social factors and education and training. After preprocessing and feature selection, classification was performed using a combination of machine learning techniques, evaluated through fivefold cross-validation with accuracy and ROC curve. A sensitivity analysis, based on feature exclusion and performance comparison, further validated the robustness of the predictive approach.FindingsThe feature importance analysis revealed that the most influential factors of an EC in the ecosystem were social perceptions of entrepreneurship, financial accessibility and physical infrastructure conditions. These elements indicate a strong interplay between EC and elements associated with human, structural, and relational manifestations of intellectual capital in the dynamics of entrepreneurial ecosystems.Originality/valueThis study contributes conceptually by demonstrating that elements traditionally viewed as supporting structures are, in fact, core drivers of EC in ecosystems. Methodologically, it validates the use of data mining techniques to analyze and predict behavioral patterns within entrepreneurial ecosystems. From a practical standpoint, the findings inform policy interventions aimed at strengthening financing systems, infrastructure and regulatory environments, while also guiding entrepreneurs and investors in overcoming barriers to digital transformation and fostering entrepreneurial innovation. (AU) | |
| Processo FAPESP: | 24/22932-7 - O Papel da Cultura Empreendedora na Promoção dos Objetivos de Desenvolvimento Sustentável: Uma Abordagem Integrada de Aprendizado de Máquina e Análise Multicritério para a Transição para um Ecossistema Empreendedor Sustentável |
| Beneficiário: | Damaris Chieregato Vicentin |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 22/14561-3 - CEPID Bridge: Gestão de Ecossistemas para transições sustentáveis |
| Beneficiário: | José Afonso Mazzon |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |
| Processo FAPESP: | 24/03045-0 - Abordagens avançadas em decisões multicritério sob incertezas: perspectivas metodológicas e aplicadas |
| Beneficiário: | Betania Silva Carneiro Campello |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |