Research on the Influence Mechanism of College Students' Entrepreneurial Tendency Based on Structural Equation Modeling

Authors

  • Xindi Gao

DOI:

https://doi.org/10.54097/ngrrsw98

Keywords:

College students' entrepreneurship, entrepreneurial propensity, structural equation modeling, influencing factors, entrepreneurship education, social support, personal traits.

Abstract

With the continuous fluctuations in the global economic landscape, college student entrepreneurship has emerged as a vital driver of economic progress. Through a systematic comparison of correlation analysis and structural equation modeling, examining aspects such as functional structure, primary graphs, second-order factors, mediating effects, and their applicable conditions in the SPSS and AMOS environments, this paper develops a structural model incorporating factors like personal characteristics, family circumstances, social support, and entrepreneurial education, while also proposing several research hypotheses. By analyzing the collected sample data, the model is validated, revealing that these elements significantly influence college students' entrepreneurial tendencies, with intricate interconnections shaping the pathways of influence. Focusing on the entrepreneurial situation of students attending undergraduate institutions in Jilin Province, the study delves into existing issues and their root causes, offering targeted strategies and recommendations. Consequently, this research enhances entrepreneurship education and training for college students, raising the success rates of their entrepreneurial ventures; ensures institutional backing for student entrepreneurship while balancing academic pursuits; and encourages involvement from diverse external entities in students' entrepreneurial activities, aiming to elevate the overall entrepreneurial capability of college students.

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Published

31-10-2024

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Section

Articles

How to Cite

Gao, X. (2024). Research on the Influence Mechanism of College Students’ Entrepreneurial Tendency Based on Structural Equation Modeling. Academic Journal of Science and Technology, 13(1), 10-14. https://doi.org/10.54097/ngrrsw98