大学生的创业教育路径和初创企业的管理策略,使用因果归因理论
Qingquan Liu1, Xuewei An2, Wei Chen3
1College of Xingshen, College of Innovation and Entrepreneurship, Jiaxing University, Jiaxing, 314001, China.
Scientific reports
|January 21, 2025
概括
这项研究通过使用深度学习 (DL) 和人工智能 (AI) 提高了大学创业教育和初创公司的安全性. DL和AI识别风险并告知策略,提高教育效率并最大限度地减少创业公司的损失.
科学领域:
- 社会企业家精神 社会企业家精神
- 教育技术的教育技术
- 风险管理 风险管理
背景情况:
- 对于大学生来说,目前的社会创业教育需要改进.
- 创业企业面临着巨大的风险,这些风险可以通过先进的分析方法来减轻.
研究的目的:
- 提高大学生创业教育的有效性.
- 改善创业企业的安全和风险管理.
- 分析影响创业风险的因素,并提出优化策略.
主要方法:
- 利用问卷和文献审查来评估当前的创业教育.
- 应用深度学习 (DL) 和人工智能 (AI) 来分析初创公司的风险因素.
- 运用因果归因理论来理解影响因素和企业风险.
主要成果:
- 在教育中的DL和AI整合有助于识别影响因素和定制学习路径.
- 人工智能驱动的管理策略使初创企业能够准确预测风险并最大限度地减少损失.
- 管理层决策 (系数9) 和员工流动 (系数8) 被确定为关键的风险因素.
结论:
- 该研究为优化大学生创业教育提供了一个框架.
- 建议的策略通过数据驱动的洞察力来增强创业风险管理.
- 这些发现为推进创业教育和创业管理实践提供了理论支持.
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