Shaping entrepreneurial passion and readiness through generative AI intensity among students: a knowledge-based view driven analysis

Abstract

Purpose In prior literature, generative artificial intelligence (Gen AI) association with entrepreneurial outcomes is not significantly examined. This study aims to explore students Gen AI use intensity association with their information quality and entrepreneurial knowledge that could relate to their entrepreneurial passion and entrepreneurial readiness. Design/methodology/approach The data was collected from 201 students majoring in business management education. A conceptual model grounded in knowledge-based view (KBV) theory was developed and tested using the partial least square structure equation modelling approach. Findings The study results shown that Gen AI use intensity is strongly associated with information quality needs and entrepreneurial knowledge of students’ that further positively related to their entrepreneurial passion and readiness. Students’ entrepreneurial passion has positively associated with their entrepreneurial readiness, emphasising the crucial role of Gen AI in developing entrepreneurial capabilities among them. Practical implications This study extends the role of Gen AI to develop entrepreneurial skills, passion and readiness among students. At the same time, the study also highlights the role of higher academic institutions to draft and implement strategies for the successful integration of Gen AI into their course curriculum. Originality/value This study showcases the successful integration of students’ usage of Gen AI with their entrepreneurial capabilities. In relation to the KBV, the study extends theory and practice by illustrating Gen AI’s use in educational domain to enhance students’ entrepreneurial knowledge and readiness.

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