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This paper aims to identify the antecedents’ factors that positively and negatively influence the intention to use big data analytics (BDA) by future managers of companies.

The sample comprised 364 business students from a public university in Brazil. The methodology had a quantitative approach, with the use of structural equation modeling.

This paper presented a robust model with a high explanatory factor for the intention to use BDA, in which the elements of positive influence on the intention to use are expected performance, social influence and cost–benefit, and the negative influence factor is resistance to use.

Research on BDA has improved the understanding of the phenomenon, mostly emphasizing the technical dimensions of BDA and underestimating organizational and human dimensions. This research contributed to the literature by presenting new insights into these organizational and human aspects by presenting influencing factors for future managers. User resistance is a variable that can incorporate technology adoption theories in BDA.

The results present a positive perception of future managers in the decision on financial resources in the acquisition of new technologies and enable managers to improve planning, investment and choice of technologies while presenting insights from the next generation. Issues regarding privacy, security and ethical aspects are key to minimizing user resistance.

This paper fills a significant research gap on the adoption of BDA, presenting the perception of future managers on fundamental aspects of adoption in a developing country. In addition, the research offers a theoretical model with new latent variables for a current and relevant topic.

Social contexts and academic environments are key elements in the debate about drivers of entrepreneurial intention and behavior in tertiary students. Nonetheless, the underlying dynamics of student entrepreneurship remain elusive. This study aims to contribute to this discussion by creating an original model that addresses the perception of entrepreneurs and potential entrepreneurs regarding the relationship between social norms, the university environment of support to entrepreneurship and the perceived satisfaction about universities’ conditions to nurture entrepreneurial orientation.

To investigate the hypotheses, a quantitative approach has been chosen through multivariate data analysis using partial least squares structural equation modeling applied to a sample of 595 students from 66 Brazilian universities.

The results indicate that social norms affect how students perceive their university environment in terms of entrepreneurial support. In turn, students’ impressions about such environment shape their levels of satisfaction. However, in contrast with the theory of intention–action gap, differences between actual and potential entrepreneurs could not be identified.

The originality of the research lies in filling an entrepreneurial intention–action gap among undergraduate students, with consistent results in a developing country. Additionally, the research presents new insights for researchers, policymakers and practitioners, exploring the students’ perceived satisfaction in relation to the university environment to support entrepreneurship.