赋权生态创新:人工智能和绿色领导力如何增强知识资本,以实现可持续的绩效
Jianhua Zhang1, Yasir Hussain1, Kashif Abbass2
1School of Management, Zhengzhou University, Zhengzhou, Henan, China.
Journal of environmental management
|September 14, 2025
概括
绿色知识管理 (GKM) 提高了织企业的可持续性表现,绿色知识资本 (GIC) 作为一个关键的调解者. 人工智能 (AI) 和绿色转型领导力 (GTL) 进一步加强了生态创新的这种关系.
科学领域:
- 工商管理 工商管理
- 环境科学 环境科学
- 信息技术 信息技术 信息技术
背景情况:
- 组织面临着越来越大的压力,需要采用可持续和环保的做法.
- 绿色知识管理 (GKM) 正成为实现可持续发展目标的战略必需品.
- 织制造企业正在探索创新的方法来提高其环境绩效.
研究的目的:
- 调查绿色知识管理 (GKM) 对巴基斯坦织业可持续性表现的影响.
- 检查绿色智力资本 (GIC) 在绿色智力资本与可持续绩效之间的关系中的调解作用.
- 分析人工智能 (AI) 和绿色转型领导力 (GTL) 对GKM-GIC-可持续性联系的缓和效应.
主要方法:
- 在巴基斯坦的织制造企业中进行了一项横截面研究.
- 使用统计软件收集和分析数据,包括SmartPLS 4.0和SPSS 30.0.0.
- 使用结构方程建模 (SEM) 来测试提出的假设.
主要成果:
- 绿色知识管理 (GKM) 对可持续绩效有显著的积极影响.
- 绿色智力资本 (GIC),包括人类,结构和关系方面的方面,显著介绍了GKM和可持续绩效之间的关系.
- 人工智能 (AI) 和绿色转型领导力 (GTL) 正面调节了GKM和GIC之间的关系.
结论:
- GKM是提高织行业可持续性表现的关键驱动力.
- 开发和利用绿色智力资本 (GIC) 对于最大限度地利用绿色智力资本的好处至关重要.
- 整合AI和GTL战略可以放大GKM和GIC的积极影响,促进生态创新和长期竞争力.
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