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深度学习背景下的心理资本与思想政治教育对创业意向的影响。

The impact of deep learning based- psychological capital with ideological and political education on entrepreneurial intentions.

机构信息

School of Economics and Management, Beijing University of Chemical Technology, Beijing, 100029, China.

The Affiliated School of The Future Science and Technology City to Hangzhou Normal University, Hangzhou, China.

出版信息

Sci Rep. 2024 Aug 5;14(1):18132. doi: 10.1038/s41598-024-68997-1.

Abstract

The aim of this study is to investigate the influence of psychological capital on college students' entrepreneurial intentions. Through a combination of relevant analysis and linear regression, the primary focus is on exploring the relationship between psychological capital and its four dimensions with entrepreneurial intentions. Firstly, the items in the psychological capital questionnaire were revised to align more closely with entrepreneurial contexts. Subsequently, the average deviations and standard deviations of each dimension of psychological capital were analyzed. Then, the correlation between psychological capital and entrepreneurial intentions was examined to explore the extent of their relationship. Finally, regression analysis was conducted on both psychological capital and entrepreneurial intentions, and utilizing a recurrent neural network model, the covariant relationship between entrepreneurial psychological capital and intentions was explored. The results indicated that the average scores for entrepreneurial self-efficacy, optimism, hope, and resilience were 3.91, 4.27, 4.19, and 4.15, respectively. The average value of psychological capital was 4.13, indicating a moderately high level. The correlation analysis between psychological capital and entrepreneurial intentions yielded a result of 0.562, indicating a moderate degree of correlation. The correlation coefficients of the four dimensions with entrepreneurial intentions were 0.390, 0.494, 0.531, and 0.467, respectively. The standardized coefficients for psychological capital and its four dimensions were 0.564, 0.382, 0.510, 0.536, and 0.468, all of which were statistically significant. Overall, psychological capital exhibited better predictive power for entrepreneurial intentions than its individual dimensions. The results from the deep learning model similarly demonstrated the positive role of psychological capital in entrepreneurial intentions, though the influence of ideological and political education (IPE) factors was relatively weaker. In conclusion, both psychological capital and IPE have a promotive effect on entrepreneurial intentions. This study provides a reference for the accurate evaluation of college students' entrepreneurial intentions.

摘要

本研究旨在探讨心理资本对大学生创业意向的影响。通过相关分析和线性回归的结合,主要探讨心理资本及其四个维度与创业意向的关系。首先,对心理资本问卷中的项目进行修订,使其更符合创业情境。然后,分析心理资本各维度的平均离差和标准差。接着,考察心理资本与创业意向的相关性,探讨二者的关系程度。最后,对心理资本和创业意向进行回归分析,并利用递归神经网络模型,探讨创业心理资本与意向的共变关系。结果表明,创业自我效能感、乐观、希望和韧性的平均分分别为 3.91、4.27、4.19 和 4.15,心理资本的平均分是 4.13,属于中等偏高水平。心理资本与创业意向的相关分析结果为 0.562,表明二者中度相关。心理资本及其四个维度与创业意向的相关系数分别为 0.390、0.494、0.531 和 0.467,标准化系数分别为 0.564、0.382、0.510、0.536 和 0.468,均达到统计学显著水平。总体而言,心理资本对创业意向的预测力优于其四个维度。深度学习模型的结果也表明,心理资本对创业意向具有积极作用,而思想政治教育(IPE)因素的影响相对较弱。综上所述,心理资本和 IPE 对创业意向都具有促进作用。本研究为准确评估大学生创业意向提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dfd/11300807/d83db2137f32/41598_2024_68997_Fig1_HTML.jpg

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