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Item type:Publication, Determinants of Generative AI Adoption Through the UTAUT Model: Insights From Postgraduate Business Students(Institute of Electrical and Electronics Engineers Inc., 2025-01-01)In a highly competitive context where generative artificial intelligence (GAI) tools are gaining increasing relevance in educational learning environments, it is essential to understand the motivations and factors driving graduate students to adopt these technologies. This study systematically identifies the factors influencing graduate students' intentions to use GAI tools. Students and alumni from a graduate business school in Peru were surveyed to assess their intentions regarding GAI technology usage. The study builds on the Unified Theory of Acceptance and Use of Technology (UTAUT) by incorporating GAI literacy as a variable. In late 2024, 251 participants from diverse backgrounds completed a questionnaire, which was then analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) through SmartPLS 4.1.0.2. This analysis aimed to uncover key factors influencing GAI adoption in higher education. The findings reveal that performance expectancy (PE), effort expectancy (EE), and perceived risk (PR) significantly influence the intention to use GAI, whereas facilitating conditions (FC) and social influence (SI) do not. Furthermore, prior experience with GAI moderates the relationships between FC, SI, and the intention to use GAI. These insights into the factors shaping GAI adoption intentions are vital for informing strategies to ethically leverage artificial intelligence (AI) in business and academia. By understanding user motivations, organizations can develop targeted policies and training programs to ensure responsible AI integration and maximize its potential benefits.5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Defying expectations: factors influencing MBA graduates' entrepreneurial intentions(Cogent OA, 2025-01-01)This study examines the factors shaping entrepreneurial intentions among MBA graduates in Peru, an emerging economy where entrepreneurship is crucial for economic growth. Using Ajzen's Theory of Planned Behavior (TPB) as a framework, a survey of 444 MBA graduates assessed the influence of entrepreneurial self‑efficacy, locus of control, subjective norms, environmental support, and attitude towards entrepreneurship. Findings from structural equation modeling (PLS‑SEM) reveal that entrepreneurial self‑efficacy and locus of control exert the strongest positive effects on entrepreneurial intentions. However, subjective norms and environmental support show weak or even negative influences, challenging conventional assumptions. Surprisingly, attitude towards entrepreneurship, while statistically significant, has a practically negligible negative effect. This study enriches the understanding of how entrepreneurship education shapes entrepreneurial intentions in developing economies, emphasizing the intricate interactions between psychological, social, and contextual factors. It refines the application of TPB in such contexts and fills gaps in existing literature. The findings suggest that MBA programs should focus on strengthening entrepreneurial self‑efficacy and locus of control while addressing other key determinants. Policymakers and educators should implement experiential learning and targeted interventions to enhance entrepreneurial mindsets among highly educated individuals in emerging markets.1