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Fostering entrepreneurial success from the classroom: unleashing the potential of generative AI through technology-to-performance chain. A multi-case study approach

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Autoría

Año de publicación

2025

Título en español

Fomentar el éxito empresarial desde el aula: aprovechar el potencial de la IA generativa a través de la cadena de tecnología a rendimiento. Un enfoque de estudio de múltiples casos

Abstract

This study presents an in-depth examination of the role of Generative Artificial Intelligence in enhancing entrepreneurial success, situated within the educational context of a leading business school in Peru. Utilizing the Technology-to-Performance Chain framework, the research integrates both qualitative and quantitative methodologies to explore the alignment and impact of Generative AI on entrepreneurial tasks. Through a multi-case study approach involving 78 early-stage entrepreneurs, the study delves into how Generative AI tools influence individual performance outcomes in entrepreneurial endeavors. The qualitative findings reveal a consensus among entrepreneurs about the positive influence of Generative AI on task performance, highlighting aspects such as Work Compatibility, Ease of Use, and Information Quality. Complementing this, the quantitative analysis quantifies the relationships between these dimensions of Generative AI use and outcomes like tool utilization and performance impact, corroborating and enriching the qualitative insights. The study discovers that Work Compatibility is a significant predictor of Generative AI tool utilization, indicating that when entrepreneurs perceive a strong alignment between their tasks and the AI tools’ capabilities, they are more likely to use these tools extensively. Furthermore, the research elucidates the positive correlations between tool Utilization and Performance Impact, underlining the importance of user-friendly technology and high-quality information output in entrepreneurial ventures. This study contributes significantly to the literature on entrepreneurship and Generative AI, offering valuable insights for educators, policymakers, and entrepreneurs. It emphasizes the need for aligning technology with tasks for enhancing performance, laying the groundwork for integrating advanced technologies into entrepreneurship education and practice. The findings highlight the immense potential of Generative AI in shaping the future of entrepreneurship, advocating for its strategic inclusion in educational curricula and entrepreneurial ventures.

Giulio Franz Marchena Sekli

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