Unraveling the determinants of digital entrepreneurial intentions: do performance expectancy of artificial intelligence solutions matter?

Drawing on the Theory of Planned Behavior, this study aims to explore the role of individual digital competencies, encompassing information and data literacy, communication and collaboration, safety and security, and problem-solving, in shaping cognitive determinants and influencing digital entrepreneurial intentions as well as investigates the moderating effect of performance expectancy of AI solutions on the relationship between digital competencies, cognitive determinants, and digital entrepreneurial intention.

Using a sample of 1326 MBA students in Vietnam with a stratified sampling approach, the second-order PLS-SEM is used to test the formulated hypotheses rigorously.

The study reveals that individual digital competencies, sculpted by information and data literacy, communication and collaboration, safety and security, and problem-solving, significantly impact cognitive determinants (attitude towards digital entrepreneurship, subjective norms, and perceived behavioral control), influencing digital entrepreneurial intentions. Performance expectancy of AI solutions also plays a crucial moderating role, enhancing the relationship between digital competencies and digital entrepreneurial intention.

Some practical implications have been recommended for policymakers, educators, and entrepreneurs.

This research provides original empirical findings, validating the impact of a varied array of digital competencies on entrepreneurial mindsets/cognition and intentions. The introduction of performance expectancy of AI solutions as a moderator introduces a nuanced dimension to comprehending the interaction between technological skills and entrepreneurial intentions.