基于人工智能的战略管理决策和企业竞争力的分析
Yang Pu1, Hao Li2, Wenjia Hou1
1Business School, Gansu University of Political Science and Law, Lanzhou, 730070, Gansu, China.
Scientific reports
|May 23, 2025
概括
本研究介绍了一种混合人工智能模型,将变压器和强化学习结合起来,用于优越的企业战略决策. 人工智能方法显著提高了预测准确性和企业在动态市场的竞争力.
科学领域:
- 人工智能的人工智能
- 商业战略 商业战略
- 计算优化计算优化
背景情况:
- 传统的企业决策依赖于有限的管理判断,应对复杂的数据和市场波动.
- 现有的方法在快速发展,竞争激烈的商业环境中缺乏效率和准确性.
- 人工智能 (AI) 在战略管理中提供了先进决策支持的潜力.
研究的目的:
- 开发和验证混合AI模型,以提高企业战略决策的准确性和效率.
- 通过在动态市场中优化决策流程,提高企业的竞争力.
- 为保持竞争优势提供人工智能驱动的决策支持工具.
主要方法:
- 开发了一个混合优化模型,集成了变压器模型和强化学习算法.
- 该模型经历了数据收集,预处理,算法选择,构建,培训和验证.
- 使用现实世界的数据来评估性能,重点是培训时间,融合速度和预测效率.
主要成果:
- 混合模型在150次代中趋同,超过了传统算法.
- 实现了高预测准确度:92%的市场份额,91%的利增长和89%的客户满意度.
- 实施导致了改善市场地位,品牌影响力和技术创新.
结论:
- 混合人工智能模型提高了战略决策的科学严谨性和准确性.
- 这种方法显著增强了企业的竞争力和市场响应能力.
- 人工智能技术显示出促进战略管理和提供可靠的决策支持的巨大潜力.
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