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This study aims to analyze the university environment’s role in the intention–action gap (IAG)of highly successful startup founders in an emerging market.

Using multiple regression analysis, this study analyzed data collected from 314 founders representing 99 successful startups (289 valid observations), renowned for their high funding and value operating in an emerging market, Brazil.

The results demonstrate that extracurricular activities and exchange programs lead to a reduced IAG while living in a significant economic center extends it. Computer science and industrial engineering students show reduced IAGs. Studying together with future co-founders also leads to reduced gaps.

The study contributes to the microfoundations theory by presenting new interactions between students and the university environment that influence entrepreneurial action. Limitations are related to the sample, limited to Brazilian founders and selected only through venture capital firms’ filters.

This study also provides practical insights to the universities’ leaders on how they can create programs that improve the rate of startup creation, potentially leading to successful companies.

This study investigates the association between the university role and the entrepreneur’s IAG in emerging markets. The entrepreneur’s IAG is still a relatively new phenomenon explored in entrepreneurship. Even less understanding and limited empirical data exist on successful startups from emerging markets. This study drew on the microfoundations literature to answer how universities in emerging markets could address specific resources and entrepreneurship programs to reduce the IAG among students and alumni.

This article aims at the understanding of specific spaces where entrepreneurship education (EE) happens – inside and outside the classroom.

Building on frameworks such as formal versus non-formal entrepreneurial education and institutional versus non-institutional actors, this research applies structural equation modeling (SEM) to explore which spaces entrepreneurs attended as undergraduate students. Going beyond intentionality, the authors collected data from 175 respondents in Brazil, all of the respondents are entrepreneurs whose companies are at least one year old.

Results demonstrate that student-led activities are as important as institutional ones when training future entrepreneurs, while specific in-classroom activities feature the lowest impact among the institutional ones.

Sample size and characteristics could impact the generalization power, but, since the results fit within research criteria, researchers can benefit by reflecting over new research horizons, going beyond classroom studies and understanding the university as an ecosystem of learning interventions.

Results can be useful to university managers when designing institutional policies, fostering a diverse set of undergraduate experiences towards entrepreneurship training.

Although current literature has focused on classroom education, researchers have been pointing out the need of stepping out of the classroom, analyzing other spaces such as student-led movements, co-curricular programs and more.

This study aims to analyze the phenomenon of entrepreneurial spawning in the new context of software startups, revisiting theory and identifying patterns within the emergence of startups/spin-offs in Brazil.

A study of two cases of startups recognized for generating several spin-offs founded by former employees. The authors based the data collection on the following triangulation: 11 in-depth interviews, systematic analysis of 33 resumes from entrepreneurs in spawned firms and document analysis.

Six skills developed in startups were identified: (1) structuring a company, (2) people management, (3) strategic/operational planning, (4) commercial/sales, (5) product development, and (6) behavioral traits. In addition, points of contradiction concerning the literature were found, such as the absence of the location effect, different professional experiences and new local agents to support startups.

The present study covers only two cases in the context of software startups, which requires caution and discretion in extrapolating to other contexts.

The understanding of the phenomenon may reflect in: university programs focused on internships in startups, corporate training programs for entrepreneurs and the design of public policies based on entrepreneurial spawning.

The present study stands out for its access to data from high-impact startups in Brazil, in addition to revisiting the literature bringing a new perspective to the specificities of high-growth software companies.