Currently, the issue of cultivating talents in the circulation industry is particularly prominent. At the national strategic level, macro policies guide the integration of application-oriented talent cultivation models in the circulation sector. Based on the practical demands for talent cultivation in the circulation industry, this study employs questionnaire surveys and Latent Dirichlet Allocation (LDA) topic modeling to delve into the characteristics of enterprises' talent demands and the optimization pathways for talent cultivation models in universities. The research results indicate that factors such as individual characteristics, enterprise size, satisfaction with practical courses, and the mentor system have significant impacts on respondents' satisfaction with university education. Specifically, gender and academic qualifications exert notable influences on educational quality, while large enterprises hold stricter demands for educational quality. Furthermore, satisfaction with practical courses positively correlates with evaluations of university education, and the implementation of the mentor system significantly enhances students' overall satisfaction with education. Accordingly, this paper proposes that universities should enhance the quality of professional teaching, strengthen collaboration with the industry, optimize curriculum structures, and implement the mentor system to enhance the social adaptability of education. Additionally, it is recommended to establish a feedback mechanism from enterprises and continuously monitor the job performance of graduates to achieve precise alignment between educational quality and enterprise demands.
Circulation Industry; Talent Demand; LDA Text Mining; Ordered Logistic Model; Ordered Probit Model
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