Exploring individual differences in the relationship between entrepreneurial self-efficacy and intentions: Evidence from Angola

The purpose of this paper is to explore the most common individual entrepreneurial self-efficacy (ESE) beliefs profiles associated with high entrepreneurial intentions (EI) and how these differ when belonging to an entrepreneurial venture team (EVTeam).

After a general test of the ESE theory using a structural equations modeling, fuzzy-set qualitative comparative analysis (fsQCA) is used, on a multi-dimensional ESE scale, to find empirical evidence supporting the existence of different individual ESE profiles, equally associated with high EI individuals. Dividing the sample based on the existence or not of an EVTeam (EVTeam), differences for each group are identified and possible implications are discussed.

This research corroborates ESE as an important antecedent of EI and, from a more in-depth analysis, it also suggests that the highest levels of EI are compatible with different ESE profiles, some of which may be related to having established an EVTeam, or not.

These findings may be useful for entrepreneurs and educators to reflect upon the needed competencies for an EVTeam and the research design might also be useful for policy makers to identify cultural, educational, and institutional shortcomings of the entrepreneurial context. A greater focus should be placed in developing ESE of potential entrepreneurs for the specific entrepreneurial activities for which the lack of perceived capabilities hinders entrepreneurial behavior and success.

This research may be useful for entrepreneurs and educators to reflect upon the needed competencies for an EVTeam. The research design might also be useful for policy makers to identify cultural, educational, and institutional shortcomings of the entrepreneurial context.

This research tests ESE theory in Angola – a country from the African continent from which there is limited empirical evidence – and by exploring the existence of different ESE profiles, with a method that allows for conjunctural causation, new insights and empirical support for future research are provided relative to the complex ESE-EI relationship.