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对知识管理过程的分析,以尽量减少绿色技术下的供应链风险:直接和配置方法
Sajjad Alam1, Jianhua Zhang2, Lizl Styenberg3
1School of Management Zhengzhou University, Zhengzhou, China.
Environmental science and pollution research international
|November 17, 2023
概括
采用绿色技术 (GTA) 和知识管理 (KM) 显著减少制造业供应链风险. 整合这些策略可以提高组织的可持续性和弹性.
科学领域:
- 运营管理 运营管理
- 供应链管理 供应链管理
- 环境可持续性 环境可持续性
背景情况:
- 可持续的供应链对于组织发展至关重要.
- 尽量减少供应链风险是大型制造业公司面临的关键挑战.
- 绿色技术采用 (GTA) 和知识管理 (KM) 是潜在的解决方案.
研究的目的:
- 分析GTA和KM流程如何降低制造业供应链风险.
- 调查绿色测量和供应风险最小化之间的相互关系.
- 为整合GTA和KM提供实际和社会理由.
主要方法:
- 利用基于资源的观点和应急理论.
- 收集了来自州203家制造业公司的数据.
- 采用了PLS-SEM和模糊集的定性比较分析 (fsQCA).
主要成果:
- PLS-SEM验证了GTA和KM可以降低供应风险.
- fsQCA确定了多个绿色实施推动因素和KM维度,以最大限度地降低供应风险.
- 在KM流程和在GTA下降的供应风险之间存在显著的相关性.
结论:
- GTA和KM流程有效地将供应链风险降到最低.
- 绿色倡议和KM的整合在减少供应风险方面产生了卓越的结果.
- 这项研究弥合了了解绿色实践和知识管理对供应链弹性联合影响的差距.
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