可持续性风险管理:通过信息处理镜头探索人工智能能力的作用
1School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore.
概括
人工智能 (AI) 能力通过改进知识管理来增强海事公司的可持续性风险管理 (SRM). 这项研究提供了关于利用人工智能的指导,以更好地处理风险和长期生存.
科学领域:
- 海洋行业的运作 海洋行业的运作
- 可持续性风险管理的风险管理
- 数字化转型数字化转型
背景情况:
- 全球可持续性倡议正在增加海事公司的运营复杂性和风险.
- 数字工具,特别是人工智能 (AI),对于加强可持续性风险管理 (SRM) 至关重要.
研究的目的:
- 调查四个人工智能能力对与可持续性相关的知识管理能力 (SKMC),利益相关者参与和海事公司内的SRM的影响.
- 应用组织信息处理理论 (OIPT) 来理解AI,SKMC和SRM之间的关系.
主要方法:
- 调查问卷对157名来自不同行业的海事专业人员进行了调查.
- 结构方程建模 (SEM) 用于经验数据分析.
主要成果:
- 人工智能能力对与可持续性相关的知识管理能力 (SKMC) 有积极的影响.
- 该研究验证了拟议的模型,将AI能力与通过SKMC和利益相关方参与改善SRM联系起来.
结论:
- 人工智能能力对于增强SKMC至关重要,从而改善海事部门的SRM.
- 航运公司应该战略性地整合特定的人工智能能力,以有效管理可持续性风险并确保业务弹性.
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