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Delving into the captivating landscape of entrepreneurship education, digital literacy and digital transformation, this study aims to investigate their interplay with entrepreneurial propensity and the moderating effect of school support among Jordanian school students aged 15–17. Anchored in the theory of planned behavior (TPB) and the human capital theory (HCT), this work illuminates the intricate web of influences that shape students’ entrepreneurial mindset.

The study adopts a quantitative approach and uses a “paper-and-pencil" translated questionnaire to collect data from a convenience sample of (n = 650) school students in Jordan. Covariance-based structural equation modeling (CB-SEM) through Statistical Package for the Social Sciences (SPSS) Analysis of Moment Structures (AMOS) v28 was utilized to scrutinize the variables' direct, mediating and moderated mediated impact.

The three structural models revealed that (1) entrepreneurship education has a positive effect on students’ entrepreneurial propensity; (2) digital literacy and digital transformation mediate the interaction between entrepreneurship education and entrepreneurial propensity; (3) school support moderates the mediating effect of digital literacy, and digital transformation, on the link between entrepreneurship education and entrepreneurial propensity.

The results offer actionable enlightenments for educators and policymakers in Jordan to tailor entrepreneurship education, digital literacy and support frameworks, effectively nurturing students' entrepreneurial mindset and aspirations.

This study contributes to understanding the complex dynamics between education, technology and entrepreneurship. Our modest contribution links the findings to a real-world case of two 15-year-old students in Jordan who were inspired by the book “Rich Dad Poor Dad” to start their own business.

In the rapidly evolving digital economy, businesses face formidable pressures to maintain their competitive standing, prompting a surge of interest in the intersection of artificial intelligence (AI) and digital transformation (DT). This study aims to assess the impact of AI technologies on corporate DT by scrutinizing 3,602 firm-year observations listed on the Shanghai and Shenzhen stock exchanges. The research delves into the extent to which investments in AI drive DT, while also investigating how this relationship varies based on firms' ownership structure.

To explore the influence of AI technologies on corporate DT, the research employs robust quantitative methodologies. Notably, the study employs multiple validation techniques, including two-stage least squares (2SLS), propensity score matching and an instrumental variable approach, to ensure the credibility of its primary findings.

The investigation provides clear evidence that AI technologies can accelerate the pace of corporate DT. Firms strategically investing in AI technologies experience faster DT enabled by the automation of operational processes and enhanced data-driven decision-making abilities conferred by AI. Our findings confirm that AI integration has a significant positive impact in propelling DT across the firms studied. Interestingly, the study uncovers a significant divergence in the impact of AI on DT, contingent upon firms' ownership structure. State-owned enterprises (SOEs) exhibit a lesser degree of DT following AI integration compared to privately owned non-SOEs.

This study contributes to the burgeoning literature at the nexus of AI and DT by offering empirical evidence of the nexus between AI technologies and corporate DT. The investigation’s examination of the nuanced relationship between AI implementation, ownership structure and DT outcomes provides novel insights into the implications of AI in the diverse business contexts. Moreover, the research underscores the policy significance of supporting SOEs in their DT endeavors to prevent their potential lag in the digital economy. Overall, this study accentuates the imperative for businesses to strategically embrace AI technologies as a means to bolster their competitive edge in the contemporary digital landscape.