ArticleScientific reports2024
The impact of deep learning based- psychological capital with ideological and political education on entrepreneurial intentions.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- The Mediating Effect of Psychological Capital Between Two-Way Social Support and Academic Resilience Among Chinese Undergraduate Nursing Students.Florence Nightingale journal of nursing · 2026Article
- Psychological capital and job readiness among Chinese university students: the mediating role of career adaptability and the moderating effect of labour market pressure.BMC psychology · 2026Article
- Empowering digital public health: a study on the mechanisms by which the application of digital technology drives social entrepreneurial intentions in the health sector among university students.Frontiers in public health · 2026Article
- Research on the promotion mechanism of blended ideological and political courses on college students' psychological capital and happiness under the background of educational digitization.Frontiers in psychology · 2026Article
- Generative artificial intelligence in entrepreneurship education enhances entrepreneurial intention through self-efficacy and university support.Scientific reports · 2025Article
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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.
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