College students' entrepreneurship education path and management strategy of start-up enterprises using causal...

The current social entrepreneurship situation is not ideal. This study aims to enhance the effectiveness of college students' entrepreneurship education and improve the safety factor of start-up enterprises. Firstly, the current situation of college students' entrepreneurship education is studied through questionnaires and literature review. Secondly, the risk-influencing factors of start-up enterprises are collected and analyzed through deep learning (DL) and artificial intelligence (AI) technologies. Finally, drawing on the causal attribution theory, the influencing factors and entrepreneurial risks of college students' entrepreneurship are analyzed. The reasonable path of college students' entrepreneurship education and the management strategy of start-up enterprises are proposed. The results indicate that employing DL and AI in college students' entrepreneurship education facilitates identifying influencing factors, allowing for timely adjustments and the development of effective educational paths tailored to students' needs. Moreover, the management strategy based on DL and AI can help start-up enterprises accurately and timely predict risks, find their source of risks, and minimize potential losses. The study also identifies several key factors affecting the management strategy of start-up enterprises. The most influential is the wrong decision-making of managers, with a coefficient of 9, followed by employee turnover, with a coefficient of 8. The corresponding influence weights of these two factors are the highest, with values of 0.175 and 0.138, respectively. In contrast, internal employee resistance has the lowest influence weight, at 0.024. This study provides valuable theoretical support for the future development of entrepreneurship education for college students and contributes to refining the management strategies of start-up enterprises.