College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory
Abstract 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 s...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86797-z |
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| author | Qingquan Liu Xuewei An Wei Chen |
| author_facet | Qingquan Liu Xuewei An Wei Chen |
| author_sort | Qingquan Liu |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-37e1ffc5cd81431da7aaa24c4fff0c5a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-37e1ffc5cd81431da7aaa24c4fff0c5a2025-01-26T12:24:17ZengNature PortfolioScientific Reports2045-23222025-01-0115111510.1038/s41598-025-86797-zCollege students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theoryQingquan Liu0Xuewei An1Wei Chen2College of Xingshen, College of Innovation and Entrepreneurship, Jiaxing UniversityWatson Institute for International & Public Affairs, Brown UniversityCollege of Economics and Management, Huazhong Agricultural University, Zhongnan University of Economics and LawAbstract 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.https://doi.org/10.1038/s41598-025-86797-zDeep learningArtificial intelligenceEntrepreneurship educationStart-up enterprisesManagement strategy |
| spellingShingle | Qingquan Liu Xuewei An Wei Chen College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory Scientific Reports Deep learning Artificial intelligence Entrepreneurship education Start-up enterprises Management strategy |
| title | College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory |
| title_full | College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory |
| title_fullStr | College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory |
| title_full_unstemmed | College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory |
| title_short | College students’ entrepreneurship education path and management strategy of start-up enterprises using causal attribution theory |
| title_sort | college students entrepreneurship education path and management strategy of start up enterprises using causal attribution theory |
| topic | Deep learning Artificial intelligence Entrepreneurship education Start-up enterprises Management strategy |
| url | https://doi.org/10.1038/s41598-025-86797-z |
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